Mathematicians

Description

About the Company:

ANS provides industry-leading nutritional solutions to promote health and wellbeing, enabled by a world class team dedicated to service, excellence, quality, and innovation. As an organization we take pride in achieving our objective of “More than Supplements... Solutions”...Safely. We want to be a “solution” through an engaged, accountable and CARING culture.

If you are looking for an exciting career opportunity with a company that offers exceptional benefits packages, then you have come to the right place!

· Most Competitive Pay in the Industry

· 401K Program

· Paid holidays

· Paid Time Off

· Medical/Dental benefits

· Employee and Family Events

· Annual Awards Program

· Best Employee Referral Program

The Opportunity…

· Strong track record of internal promotions

· Comprehensive Training program to encourage promotions

· Detailed Progression model to outline promotional opportunities

· Cross-functional opportunities to multiple different areas in the company

Supports R&D Managers with day to day tasks as needed.

· Follow all company policies and procedures.

· Follow and ensure compliance to quality system and cGMP programs.

· Research of raw materials, allergens, country of origin, sub-ingredient list, vegetarian status, etc.

· Ensure that required Technical Specifications are completed and submitted to the appropriate Salesperson or customer.

· Complete, populate and maintain the Raw Material Specifications, document repository, etc.

· Complete, populate and maintain the Finished Good Specification Sheets (FGSS), document repository, etc.

· Reference and utilize internal and external databases and references to answer customer inquiries.

· Populate and maintain databases as assigned.

· Assists other groups within R&D as directed.

Qualifications:

· Non-supervisory role.

· Must have applicable Associate’s degree or minimum 2 years of relevant experience.

· No certifications or licenses required.

· Must have moderate math skills.

· Moderate reading skills required.

· Must have basic computer skills in MS Office.

· Must have moderate language skills.

· Must have moderate writing skills.

· Must be willing to learn new tasks and procedures.

· Ability to efficiently and effectively perform all essential position duties and responsibilities with or without reasonable accommodation without posing a direct safety threat to others or self.

· Maintains a regular and dependable work attendance record with few instances of unplanned and/or unexpected absence

Additional Information
Type of Employee
Direct Hire
Department
R&D
Shift
1st

**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.