5,255 Zoology jobs in the United States

Job Description

We are looking for an advanced physicist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.

Benefits:

• This is a full-time or part-time REMOTE position
• You’ll be able to choose which projects you want to work on
• You can work on your own schedule
• Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work

Responsibilities:

• Give AI chatbots diverse and complex physics problems and evaluate their outputs
• Evaluate the quality produced by AI models for correctness and performance

Qualifications:

• Fluency in English (native or bilingual level)
• Detail-oriented
• Proficient in mathematics, inductive/deductive reasoning, physical/temporal/ spatial reasoning
• A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Job Description

We are looking for an advanced physicist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.

Benefits:

• This is a full-time or part-time REMOTE position
• You’ll be able to choose which projects you want to work on
• You can work on your own schedule
• Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work

Responsibilities:

• Give AI chatbots diverse and complex physics problems and evaluate their outputs
• Evaluate the quality produced by AI models for correctness and performance

Qualifications:

• Fluency in English (native or bilingual level)
• Detail-oriented
• Proficient in mathematics, inductive/deductive reasoning, physical/temporal/ spatial reasoning
• A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

**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. Telecommute from anywhere in the U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 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
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/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

**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. Telecommute from anywhere in the U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 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
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/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

**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. Telecommute from anywhere in the U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 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
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/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

**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. Telecommute from anywhere in the U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 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
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/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

**Why Valvoline Global Operations?**
At **Valvoline Global Operations** , we're proud to be **The Original Motor Oil** , but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry. Today, as an affiliate of **Aramco** , one of the world's largest integrated energy and chemicals companies, we are driven by innovation and committed to creating sustainable solutions for a better future.
With a global presence, we develop **future-ready products** and provide **best-in-class services** for our partners around the world. For us, originality isn't just about where we began; it's about where we're headed and how we'll lead the way. **We are originality in motion.**
Our corporate values- **Care, Integrity, Passion, Unity, and Excellence** -are at the heart of everything we do. These values define how we operate, how we treat one another, and how we engage with our partners, customers, and the communities we serve. At Valvoline Global, we are united in our commitment to:
- Treating everyone with care.
- Acting with unwavering integrity.
- Striving for excellence in all endeavors.
- Delivering on our commitments with passion.
- Collaborating as one unified team.
When you join **Valvoline Global** , you'll become part of a culture that celebrates creativity, innovation, and excellence. Together, we're shaping the future of automotive and industrial solutions.
**How You'll Make an Impact**
As a **Research Scientist** this role will lead the development of Valvoline light duty lubricant products including passenger car engine oils, motorcycle oils, small engine oils and other related products. Collaborate closely with the regional product strategy team to innovate new product concepts and performance claims. Conduct necessary performance and quality testing to approve/license new formulations and renew existing products. Manage the creation and submission of necessary documentation for industry and OEM specification approvals. Support Valvoline's blending plants, providing production support and managing the introduction of new products, including new recipes and quality specifications as needed. Lead a team of scientists, providing direction and mentorship to support safety compliance, project delivery and professional development.
**Responsibilities Include**
+ Lead the development of new light-duty lubricant formulations by selecting and evaluating additives, base oils, and other raw materials to meet differentiated performance and product application requirements.
+ Design and manage novel testing protocols to validate new product formulations in support of differentiated claims, product licensing, OEM approvals, and regulatory compliance.
+ Support Strategy, Sales, Marketing, and Key Accounts by delivering technical expertise, product training, and guidance on performance claims.
+ Lead a team of scientists, ensuring safety compliance while providing direction and mentorship to support successful project execution and career growth.
+ Provide technical support to Valvoline's blending plants, including production troubleshooting, new product introductions, and updates to quality specifications.
+ Review and approve labels, PI Sheets, and other technical content to ensure accuracy in claims and alignment with specification requirements
**What You'll Need**
+ Minimum B.S. in Chemistry or Engineering Discipline
+ 20% travel requirement, some international travel.
+ Experience formulating finished lubricants, either for an oil marketer, additive supplier or base oil manufacturer. Knowledge of oil specifications and qualification procedures is advantageous.
+ Experience with analytical test methods and laboratory methods is beneficial.
+ Candidate should have experience managing complex projects and working with tight deadlines.
+ Knowledge of Engine Performance Testing
+ Strong communication/presentation skills
+ Computer Skills - specifically Excel, Power Point, SAP and QC software
+ Statistical methods and design of experiments
+ People management with a focus on empowerment and development
+ Collaborative skills to advance projects both internally and externally
+ Knowledge of the engine lubricant market, including competitors and product landscape
**What Will Set You Apart**
+ Masters or PhD strongly preferred
**Benefits That Drive Themselves**
- Health insurance plans (medical, dental, vision)
- HSA and flexible spending accounts
- 401(k)
- Incentive opportunity*
- Life insurance
- Short and long-term disability insurance
- Paid vacation and holidays*
- Employee Assistance Program
- Employee discounts
- Tuition reimbursement*
- Adoption assistance*
_*Terms and conditions apply, and benefits may differ depending on position._
Valvoline Global is an **equal opportunity employer** . We are dedicated to fostering an environment where every individual feels valued, respected, and empowered to contribute their unique perspectives and skills. We strictly prohibit discrimination and harassment of any kind, regardless of race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, gender identity, or any other legally protected characteristic.
We are committed to ensuring accessibility throughout our recruitment process. If you require a reasonable accommodation to participate in any stage of the recruitment or selection process, please contact us at:.
- **Email** :
This contact information is solely for accommodation requests. For inquiries about application status, please use the appropriate channels listed in your application materials.
**Are You Ready to Make an Impact?**
At Valvoline Global, we're looking for passionate and talented individuals to join our journey of innovation and excellence. **Are you ready to shape the future with us? Apply today.**
Requisition ID: 1455

**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. Telecommute from anywhere in the U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 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
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/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

**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. Telecommute from anywhere in the U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 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
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/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