15,315 Research jobs in the United States

**Minimum qualifications:**
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ Experience in machine translations or related Natural Language Processing tasks.
+ Experience with Machine Learning or Evaluations.
+ One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
**Preferred qualifications:**
+ 2 years of experience in coding.
+ 1 year of experience owning and initiating research agendas.
+ Experience with Machine Translation or Multilingual Natural Language Processing.
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Translate's mission is to reduce the language barrier by translating text, speech when needed, making content more accessible to people. Our team's main goal is to produce high quality translation models for Google Translate. These models are used by billions of users and integrated into products across Search, Cloud, Chrome, Android, Ads, and YouTube.
This posting is specific for the Translate Research sub-team which focuses on improving translation and non-English capabilities within LLMs including training multilingual LLMs from scratch.
In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
**Responsibilities:**
+ Work within a team on research problems that are important for Google Translate.
+ Research novel techniques for improving translation quality via modeling, data selection, and model tuning.
+ Design and conduct experiments for model quality improvements, analyze results, and determine steps for moving forward.
+ Develop and invent new machine translation techniques that improve the translation quality of Google Translate.
+ Invent reliable automatic and human evaluation methods for machine translation outputs, and integrate findings into the machine translation model.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

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.

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

**Research Scientist**
**Requisition Number:** 66485
**Location:** Boulder Colorado
**Employment Type:** Research Faculty
**Schedule:** Full Time
**Posting Close Date:** 01-Nov-2025
**Date Posted:**
**Job Summary**
The University of Colorado's Center for Health and Neuroscience, Genes, and Environment (CUChange) has a Full-Time Postdoctoral Research Associate position available. Principal investigators are Dr. Cinnamon Bidwell and Dr. Tim Curran.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
**Who We Are**
We are a motivated team that conducts transdisciplinary research exploring factors linked with health and risk behavior in regard to recreational and medicinal Cannabis use, anxiety, pain management, memory, and cognition. This position is well suited for a Ph.D. graduate pursuing a research career in cognitive science, psychology, neuroscience, translational human participant research, or other clinical or biomedical research.
**What Your Key Responsibilities Will Be**
Expected responsibilities:
+ We seek a full-time Postdoctoral Research Associate to aid with NIH-funded studies, including ERP studies of acute influences of THC and CBD on memory encoding and retrieval processes and clinical trials focused on biobehavioral health outcomes, such as substance use, pain, anxiety, sleep, and immune markers.
+ Primary responsibilities include the supervision, design, implementation, analysis, and publication of EEG and clinically relevant data.
+ The postdoctoral research associate will be responsible for coordinating with the Pl and investigative team in order to manage the collection of behavioral and biological data, correspondence with the IRB regarding updates and amendments to relevant protocols, and supervision and training of research staff.
+ The postdoctoral research associate will work closely with the PI to ensure data quality control and the assurance of data safety and monitoring, and in this role will assist the PI to conduct quarterly meetings with the external Data Safety and Monitoring Board.
+ Support for grant writing, data management and analysis, and manuscript preparation will also be expected.
+ Specifically, it is expected that the postdoctoral research associate will take a lead role in analyzing data, preparing data for presentation at professional conferences, and will collaborate with the PI and Co-Investigators to submit manuscripts for publication.
**What We Can Offer**
$63,000 - $68,000 (annual) depending on experience.
**Benefits**
The University of Colorado offers excellent benefits ( , including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder ( .
**Be Statements**
Be ambitious. Be groundbreaking. Be Boulder.
**What We Require**
Required qualifications include the following:
+ Ph.D. in psychology, cognitive science, neuroscience, or another related field
+ EEG/ERP experience
+ Research experience in cognitive psychology or related areas
**What You Will Need**
+ Experience with computer programming, computer networking, and MATLAB.
+ Experience conducting human participant research appointments and eligibility screenings.
+ Strong communication and organizational skills.
+ Ability to work collaboratively with study staff, postdoctoral researchers, undergraduates, principal investigators, and other laboratories.
**Special Instructions**
To apply, please submit the following materials:
1. Resume/CV
2. Cover Letter
If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources Department using an approved online vendor. However, if your degree was obtained outside of the United States, please submit an English-translated version as an Optional document.
Please apply by the 11/1/25 for consideration. Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs. ( compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
**To apply, visit ( 2025 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency ( University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.

**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