Mathematicians

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Research Scientist Responsibilities:

1. Perform research and develop solutions to computer software and computer hardware problems.

2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms.

3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.

4. Utilize technical research background, train new ranking models, and run experiments.

5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.

6. Use machine learning, statistics, or other data techniques to build algorithms.

7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.

8. Analyze and resolve computer challenges from a system engineering standpoint.

9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

11. Telecommuting is permitted from anywhere in the U.S.

**Minimum Qualifications:**

Minimum Qualifications:

12. PhD in Computer Science, Engineering, Analytics, Statistics, Mathematics, or a related field. Foreign degree equivalent accepted.

13. Requires Completion of a university-level course, research project, or internship involving the following:

14. 1. Algorithms, data structures, or systems software

15. 2. Solving analytical problems using quantitative approaches

16. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources

17. 4. Communicating complex research in a clear, precise, and actionable manner

18. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision

19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models and

20. 7. Java, C++, Perl, PHP, or Python.

**Public Compensation:**

$214,032/year to $240,240/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Research Scientist Responsibilities:

1. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.

2. Use machine learning, statistics, or other data techniques to build algorithms.

3. Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules based models.

4. Utilize technical research background, train new ranking models, and run experiments.

5. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.

6. Code deliverables in tandem with the engineering team.

7. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.

8. distributed clusters, multicore SMP, and GPU).

9. Telecommuting is permitted from anywhere in the United States.

**Minimum Qualifications:**

Minimum Qualifications:

10. Requires a Master's degree in Computer Science, Engineering, Computational Science and Engineering, Mathematics, or a related field.

11. Completion of one graduate-level course, project, or internship (including experience as a Research Assistant) involving each the following:

12. 1. Advanced machine learning research and development

13. 2. Programming and software development

14. 3. Data analysis and modeling

15. 4. Algorithm design and optimization, data structure

16. 5. Problem-solving and critical thinking, solving analytical problems with quantitative approaches

17. 6. Machine learning system design and deployment

18. 7. Gathering and process data from varying sources

19. 8. Python, C++, PHP, MySQL and

20. 9. Cloud computing and big data technologies.

**Public Compensation:**

$175,000/year to $200,200/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We Are

Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence (http://www.accenture.com/us-en/services/applied-intelligence/generative-ai?c=acn\_glb\_largelanguagemonewsroom\_13451725&n=mrl\_0323) brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.

+ You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.

+ You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).

+ As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem.

+ As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.

+ You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work

+ Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems.

+ Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.

+ Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks.

+ Lead technical teams and grow true AI expertise within broader team including offshore

+ Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders.

+ Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency.

+ Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI.

+ Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development.

+ Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

This is a hybrid role based in Mountain View, California.

Here's What You Need

+ Minimum of 4 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models.

+ Minimum of 4 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models.

+ Minimum of 4 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space.

+ Minimum of 4 years of working knowledge and familiarity with different LLM driven application architecture patterns.

+ Minimum of 4 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.

+ Minimum of 4 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.

+ Minimum of 4 years of proven experience with processor and system-level performance modelling.

+ Minimum of 2 years of experience of technical team management or team mentoring.

+ Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years' work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)

Role Location Annual Salary Range

California $73,800 to $220,400

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Minnesota $73,800 to $190,400

Maryland $68,300 to $176,300

New York $68,300 to $220,400

Washington $78,500 to $202,700

#LI-NA-FY25

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

We Are

Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence (http://www.accenture.com/us-en/services/applied-intelligence/generative-ai?c=acn\_glb\_largelanguagemonewsroom\_13451725&n=mrl\_0323) brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Advanced Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.

+ You lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.

+ You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).

+ As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem.

+ As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.

+ You'll also work collaboratively with teams & leaders from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work

+ Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems.

+ Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.

+ Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks.

+ Lead technical teams and grow true AI expertise within broader team including offshore

+ Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders.

+ Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency.

+ Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI.

+ Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development.

+ Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's What You Need

+ Minimum of 6 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models.

+ Minimum of 6 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models.

+ Minimum of 6 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space.

+ Minimum of 6 years of working knowledge and familiarity with different LLM driven application architecture patterns.

+ Minimum of 6 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.

+ Minimum of 6 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.

+ Minimum of 6 years of proven experience with processor and system-level performance modelling.

+ Minimum of 3 years of experience of technical team management or team mentoring.

+ Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)

Role Location Annual Salary Range

California $132,500 to $338,300

Colorado $132,500 to $292,200

District of Columbia $141,100 to $311,200

Illinois $122,700 to $292,200

Minnesota $132,500 to $292,200

Maryland $122,700 to $270,600

New York $122,700 to $338,300

Washington $141,100 to $311,200

#LI-NA-FY25

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

**Hybrid Location: Riverwood, IL; Chicago, IL; Coppell, TX; Philadelphia, PA; Waltham, MA; Denver, CO; Kennesaw, GA**

The Wolters Kluwer Digital Experience Group creates products and solutions with Wolters Kluwer businesses around the globe to serve professionals in the Legal, Tax, Heath, ESG, Finance and Compliance sectors. This wide and growing array of solutions supports Wolters Kluwer businesses in building and expanding their online product portfolios. The Digital Experience Group (DXG) provides global leverage of industry and customer insight, driving technology capabilities for local product development.

Do you want to use your skills and experience to make a meaningful impact to provide expert solutions in a diverse set of professional domains: healthcare, compliance, legal and regulatory and tax and accounting?

Wolters Kluwer is a fast-growing and innovation-driven global company that has successfully made a transition from print publishing to a digitally-driven provider of professional software, online expert content and integrated workflow products. A unique combination of experts, content and data provide the ingredients to create expert solutions based on advanced technologies especially cognitive technologies. Collaborating with product visionaries and experts in healthcare, compliance, legal and tax you will guide advanced solutions that tackle some of the most challenging problems our customers face.

We're looking for a **Ontology Specialist / Knowledge Engineering Manager** who is passionate about delivering the next generation of digital products. You are willing to work with subject matter experts, product leaders, customers and developers to create knowledge organization systems (e.g. vocabularies, taxonomies, etc.) that guides the user experience.

Reporting to the Director of Content Technology, this role is part of a centralized function within the Digital Experience Group (DXG) a team supporting a suite of Content Technology tools and services used by the product and content teams in each division.

**Responsibilities:**

+ **Design and implement ontology-driven knowledge frameworks** to support AI, search, and content retrieval systems.

+ **Conduct semantic analysis and optimization** to improve knowledge graph performance and relevance.

+ **Develop and maintain knowledge graphs, ontologies, and metadata models** , ensuring scalability and alignment with business goals.

+ **Ensure adherence to data governance, compliance, and privacy standards** , particularly in the use of AI-driven systems.

+ **Establish best practices for ontology versioning, data integration, and knowledge updates** .

+ **Lead data modeling programs** , focusing on conceptual, logical, and physical models for knowledge representation.

+ **Implement advanced data integration processes** , including ETL pipelines for knowledge enrichment and semantic interoperability.

+ **Oversee large-scale knowledge migration and transformation projects** , ensuring minimal disruption and high data fidelity.

+ **Identify and resolve complex challenges in knowledge representation, inference, and retrieval** .

+ **Mentor junior team members in knowledge engineering principles** , ontology design, and semantic technologies.

**Experience:**

+ Bachelor's degree in computer science, library science, linguistic or related experience

+ Has 5 years experience developing or using knowledge organization systems; such controlled vocabularies, taxonomies

+ Has 5 years experience developing or using knowledge models based on W3C standards (RDF, OWL, SKOS, etc.)

+ Has 5 year experience integrating ontologies; such as Dublin Core, FRBR, FOAF, etc.

+ Has 5 year experience integrating linked data sets in application

+ Strong written and oral communication and presentation skills

+ Abstract thinker with the ability to conceptualize or generalize, and apply the corporate knowledge model to solve business problems in different domains

+ Experience in adoption of knowledge models to the legal, accounting or health domains is desirable

**Benefits:**

A comprehensive benefits package that begins your first day of employment. **Additional Information:** Wolters Kluwer offers great benefits and programs to help meet your needs and balance your work and personal life, including **Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave** . Full details of our benefits are available - https://www.mywolterskluwerbenefits.com/index.html

**Diversity Matters**

Wolters Kluwer strives for an inclusive company culture in which we attract, develop, and retain diverse talent to achieve our strategy. As a global company, having a diverse workforce is of the utmost importance. We've been recognized by employees as a European Diversity Leader in the Financial Times, as one of Forbes America’s Best Employers for Diversity in 2022, 2021 and 2020 and as one of Forbes America’s Best Employers for Women in 2021, 2020, 2019 and 2018. In 2020, we placed third in the Female Board Index, and were recognized by the European Women on Boards Gender Diversity Index. Wolters Kluwer and all of our subsidiaries, divisions and customer/departments is an Equal Opportunity / Affirmative Action employer.

\#LI-Hybrid

**Compensation:**

Target salary range CA, CT, CO, DC, HI, IL, MD, MN, NY, RI, WA: $145,500 - $203,900

This role is eligible for Bonus.

**Additional Information** :

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

**Job Description**

Join our Visual Compute and Graphics Lab as a Research Scientist Intern, where you'll have the opportunity to shape the future of graphics technology and experiences. This role is perfect for those passionate about exploring the intersection of graphics and machine learning. You'll collaborate with industry-leading experts to conduct research, analyze data, and develop innovative techniques in real-time 3D rendering and parallel algorithms. Your work will have the potential to influence Intel's graphics hardware and software products, as well as impact the broader industry and academia. This position offers a unique opportunity to innovate and make a significant impact in the field of graphics and machine learning with Intel's real-time graphics team.

**In this role, your** **r** **esponsibilities will include: **

+ Conduct research and develop new techniques in real-time 3D rendering and parallel algorithms.

+ Collaborate with a team of experts to explore innovative graphics and machine learning solutions.

+ Analyze data and present findings through technical reports and publications.

+ Contribute to the development of Intel's graphics hardware and software products.

+ Stay updated with the latest advancements in graphics and machine learning to drive innovation.

**Qualifications**

You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

**Minimum Qualifications: **

+ Currently pursuing a Master's or PhD in Computer Science, Electrical Engineering, or a STEM-related with an emphasison computer graphics and machine learning (ML).

**At least 1** **+** **year of experience in** **the following areas** :

+ Modern C/C++ and Python programming.

+ Broad range of AI algorithms, principles, and ML frameworks such as PyTorch.

+ Developing advanced graphics algorithms, including raster graphics, ray tracing, physically based light transport, and more.

+ Graphics APIs (e.g., OpenGL, Vulkan, DirectX), shading languages (e.g., GLSL, HLSL), and/or GPGPU (CUDA, SYCL, OpenCL).

**Preferred Qualifications:**

+ Pursuing a PhD degree.

+ Publications in top-tier computer graphics conferences and/or journals.

+ Mathematical background, including linear algebra, numerical optimization, and probabilistic estimation.

+ Relevant research or software engineering experience, including internships, coding competitions, or contributions in open-source repositories (e.g. GitHub).

+ Experience applying machine learning techniques to real-time graphics.

+ Knowledge of GPU architecture and performance characteristics.

+ Experience using profilers and debugging tools for performance analysis.

**Inside this Business Group**

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

**Posting Statement**

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

**Benefits**

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

Annual Salary Range for jobs which could be performed in the US $63,000.00-$166,000.00

*Salary range dependent on a number of factors including location and experience

**Working Model**

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. *** Job posting details (such as work model, location or time type) are subject to change.**

The Scientist within the Research Department team will serve as a subject matter expert for various production composite propellants and liners. The individual will conduct and supervise projects involving formulating, raw ingredient testing, lab scale mixing, batch size scale up, propellant property testing, and data reduction/analysis.

The position will report to and take direction from the Director of Research but will also work closely with the cross-functional program teams to support production programs.

How you will be awarded as a Research Scientist – Rocket Propellants, Explosives and Pyrotechnics

• Monday-Thursday work week working four 10-hour days

• Off on Fridays

• Generous paid time off and Holiday Pay

• Medical, Dental and Vision Insurance

• 401(K), employee assistance programs, flexible spending account

Primary Responsibilities:

• Apply chemical principles to safely analyze and conduct experiments on propellants, pyrotechnics, and/or explosives to meet program requirements or to make production improvements.

• Develop and/or modify formulas, processes, procedures, and techniques to manufacture propellant.

• Develop methods and analyzes and to create tests compositions to understand and modify chemical, physical, mechanical, ballistic, and hazard properties.

• Establish optimal trade-off of propellant properties by modifying composition to achieve objectives.

• Serve as a principal investigator to resolve propellant production issues.

• Follow standard laboratory practices and safety procedures.

• Coordinate and schedule support work for other departments.

• Make oral presentations outlining/summarizing progress on selected projects and programs to both internal and external customers.

• Prepare technical reports detailing work progression and results.

• Provide labor, equipment, and material estimates for laboratory work required to support production projects.

• Assign/delegate work to technicians and junior chemists.

• Provide training to technicians to perform chemical weigh out, small scale propellant mixing, laboratory testing, mechanical property testing, and burn rate testing.

• Review results of experiments and analyses performed by other scientists or technicians.

• Perform Statistical Process Control charting and predictive modelling to identify propellant performance and/or property trends.

Job Qualifications:

• Proficient with Microsoft Office, Word, Excel, and Power Point.

• Experience with various lab instruments for analysis and testing of energetic materials.

• Working knowledge of energetic material regulations and safe handling/measurement.

• Ability to work effectively and communicate well with the cross-functional NDS Mesa Team.

• Must have a strong work ethic and be well organized to manage multiple projects simultaneously.

• Must be able to wear safety equipment such as respirators or self-contained breathing apparatus.

• Must be able to exert up to 50 lbs. of force in the course of normal work.

• Must have the ability to obtain and maintain ATF Processor license.

**Note**: Due to US Export Control laws and regulations; applicants selected for employment must show proof of a U.S. Person status before employment may begin.

**Job Description**

Intel AI Lab is a research organization pursuing fundamental and applied research in Machine Learning. The problems we solve span computer vision, efficient ML architectures, chip design, computational chemistry and more.

As a Research Scientist in Intel AI Lab, you will develop machine learning and optimization techniques to solve problems impacting semiconductor design and manufacturing. You will publish your findings, establish benchmarks, build open-source tools, and facilitate technology transfers.

We are looking for a machine learning researcher (contract position) with solid hands-on implementation skills. You will be working on complex, industrial scale problems that involve multi-objective constrained optimization. The solutions you will explore will require core machine learning techniques as well as classical combinatorial optimization and search techniques.

**In this role, examples of your responsibilities are: **

+ Develop foundational machine learning capabilities for diverse applications.

+ Develop machine learning techniques to accelerate optimization problems.

+ Impact semiconductor design and manufacturing through research.

+ Publish results in top-tier conferences and journals.

+ Establish new industrial and academic benchmarks.

+ Build open-source tools and facilitate technology transfers.

+ Collaborate with teams to integrate research into commercial design flows.

**Qualifications**

You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

**Minimum Qualifications: **

+ PHD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or STEM-related field.

+ 2+ years of experience and solid background in modern machine learning architectures: Transformers, Graph Neural Networks, Diffusion models, etc.

+ 2+ years of experience and solid coding skills in Python and C++.

+ 2+ years of experience and solid experience with machine learning frameworks like PyTorch.

**This position is not eligible for Intel immigration sponsorship.**

**Preferred Qualifications:**

+ Deep learning on graphs (e.g., general graphs, circuit graphs, molecular graphs, or trees).

+ Classical search and optimization techniques like Genetic Algorithms, Monte-Carlo Tree Search, Djikstra’s Algorithm, etc.

+ EDA tools, either commercial or open-source

+ Publications in top-tier venues in AI for chip design

**Inside this Business Group**

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

**Posting Statement**

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

**Benefits**

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

Annual Salary Range for jobs which could be performed in the US $52,000.00-$200,000.00

*Salary range dependent on a number of factors including location and experience

**Working Model**

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. *** Job posting details (such as work model, location or time type) are subject to change.**

**About this role:**

Wells Fargo is seeking a Senior Information Security Engineer within the Information Security Architecture team. The Senior Engineer will be part of a team performs the cryptographic evaluations and certifications of data protection technologies along with information protection architecture responsibilities. Additionally, will engage stakeholders, subject matter experts, vendors and management teams for evaluation, analysis, reporting, and summarizing data evaluation of hardware security modules (HSM) and Key/Certifications management. Lab analysis will be performed to complete summaries and evaluations. Will perform evaluations in Linux Server operating systems, Hardware Security Modules, Key Managers and/or data protection/encryption solutions. Will develop and create technical/engineering documentation. Will design and develop scripting and automation practices. Participates in interactions with encryption technology vendors – helps to ensure vendor product engineering is in line with the objectives and security requirements of Wells Fargo and coordinates with the vendor support team to ensure issues impacting Wells Fargo are resolved quickly and effectively. Participates in interactions with technical, engineering and non-technical partners across the Enterprise for technologies listed above.

**In this role, you will:**

+ In this role, you will:• Evaluate the cryptographic capabilities of multiple data protection technologies deployed across Wells Fargo networks, applications, public key infrastructure and authentication services. • Fluent in multiple scripting languages and best practices/ procedures for automation • Knowledge and understanding of Python, PowerShell, and Shell scripting• Perform deep-dive evaluations of encryption and other data protection technologies• Need to be capable of creating technical/engineering documentation and have excellent written and oral communication.• Participate in the research, analysis, design, testing and implementation of complex data protection technologies alongside other teams within our organization.• Participates in interactions with encryption technology vendors – helps to ensure vendor product engineering is in line with the objectives and security requirements of Wells Fargo• Work with partner Engineering Teams on identification and remediation of security vulnerabilities and may also conduct risk assessments of Infrastructure to ensure compliance with corporate security policies and adherence to best practices.• May provide technical guidance to less experienced staff. Given the nature of the encryption technologies, the team environment is very fast paced and requires the ability to drive to solutions as an individual and to work effectively with the team as well.

**Required Qualifications:**

• 4+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 2+ years of experience with Linux operating system engineering or automation

• 2+ years of experience with or strong conceptual understanding of encryption or related data protection technologies

• 2+ years experience with security technology product evaluation, proof of concepts, & testing.

**Desired Qualifications:**

• Proven written and verbal communication skills with both Business/Management and Technical/Engineering resources

• Experience with security technology product evaluation, proof of concepts, testing, etc.

• Experience with engineering and support of Vormetric, Thales, Voltage, Gemalto/SafeNet and FutureX technologies

• Knowledge and understanding of technology server: file encryption technology, encryption key management and information security policies

• Knowledge and understanding of cryptography and key management

• Knowledge and understanding of Python, Ruby,

**Job Expectations:**

+ Expected to be in office three days a week

+ 100% remote work option is not available

+ This position is not eligible for Visa sponsorship

**Locations:**

+ Charlotte, NC

+ Westlake, TX (Dallas Fort Worth area)

+ Minneapolis, MN

+ Chandler, AZ

**Pay Range**

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

$84,000.00 - $149,400.00

**Benefits**

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs (https://www.wellsfargojobs.com/en/life-at-wells-fargo/benefits) for an overview of the following benefit plans and programs offered to employees.

+ Health benefits

+ 401(k) Plan

+ Paid time off

+ Disability benefits

+ Life insurance, critical illness insurance, and accident insurance

+ Parental leave

+ Critical caregiving leave

+ Discounts and savings

+ Commuter benefits

+ Tuition reimbursement

+ Scholarships for dependent children

+ Adoption reimbursement

**Posting End Date:**

27 Mar 2025

***** **_Job posting may come down early due to volume of applicants._**

**We Value Diversity**

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

**Applicants with Disabilities**

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo (https://www.wellsfargojobs.com/en/diversity/disability-inclusion/) .

**Drug and Alcohol Policy**

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy) to learn more.

**Wells Fargo Recruitment and Hiring Requirements:**

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

**Req Number:** R-416013

**Why Mayo Clinic**

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans (https://jobs.mayoclinic.org/benefits/) – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.

**Benefits Highlights**

+ Medical: Multiple plan options.

+ Dental: Delta Dental or reimbursement account for flexible coverage.

+ Vision: Affordable plan with national network.

+ Pre-Tax Savings: HSA and FSAs for eligible expenses.

+ Retirement: Competitive retirement package to secure your future.

**Responsibilities**

The Research Scientist must play a key supporting role in the sponsoring research program. Will significantly contribute to grant writing and serve as co-principal investigator (if necessary) on extramural grant applications submitted by the principal investigator. May apply as the co-investigator or co-principal investigator with other investigators or principal investigator for an extramural grant or contracts if done in collaboration with his/her Mayo sponsor. The Research Scientist is expected to serve as the principal investigator's internal and external representative and resource contact person for the research program and may represent the principal investigator at national or international meetings if necessary. Brings a unique skill, technique or knowledge to the program and will significantly participate in personnel and resource management on behalf of the principal investigator. Will independently manage assigned projects and the projects of other program personnel. Will provide input for the direction and design of other's projects and direct teaching activities within the investigator's program.

**Qualifications**

A Research Scientist candidate must have a doctoral level degree and a minimum of 6 years of postdoctoral research training at Mayo or elsewhere. Must hold academic rank (i.e. Instructor, Assistant Professor) at Mayo at the time of accepting the Research Scientist position or achieve it immediately thereafter. The candidate must bring a unique skill, technique or knowledge to the sponsoring program as documented by professional accomplishments and publication record and will have made a career decision to pursue regular employment at Mayo in support of an established research staff program.

**Exemption Status**

Exempt

**Compensation Detail**

$97,136.00 - $145,704.00 / yr

Education, experience and tenure may be considered along with internal equity when job offers are extended.;

**Benefits Eligible**

Yes

**Schedule**

Full Time

**Hours/Pay Period**

80

**Schedule Details**

Monday - Friday (During Standard Business Hours)

**Weekend Schedule**

Some weekends possible.

**International Assignment**

No

**Site Description**

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. (https://jobs.mayoclinic.org/alllocations)

**Affirmative Action and Equal Opportunity Employer**

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.

**Recruiter**

Matt Burdick

**Equal opportunity**

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.