584 Machine Learning jobs in New York
Machine Learning Intern
Posted today
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Job Description
GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we're building a category-defining company at the intersection of AI and information integrity.
Our team comes from high-performing engineering cultures, including Uber, Meta, Perplexity, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.
What we're looking for
At GPTZero, we ensure that machine learning models are created for the benefit of humanity, not the other way around.
In this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders, creating industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders.
Responsibilities
Depending on the candidate, the role can be targeted more towards ML engineering or research (publication-focused)
- Design, train, and fine-tune state-of-the-art large language models
- Develop AI agents combined with retrieval-augmented language models
- Build efficient and scalable ML training and inference systems
- Stay up-to-date with the latest literature and emerging technologies to solve novel problems
- Work closely with product and design teams to develop intuitive applications that create societal impact
- Proficiency in Python and PyTorch
- Experience pushing or implementing the cutting-edge in machine learning
- Self-starter and hungry learner
- Highly motivated to make positive societal impact
- Ability to wear multiple hats
- Visa for work in Canada or US
- Bonus:
- strong open-source portfolio
- publications at top-tier ML venues
- experience working in an early-stage startup environment
- understanding of how machine learning models fail in the wild
Our Team
You will be working directly with
- Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML
- George (our AI research lead) PhD from University of Toronto and ex-AWS research.
- Olivia (our head of design) on translating your research into outputs for millions of users.
- Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.
Together, we are committed to making a permanent impact on the future of writing, and on humanity.
Our Angels and Advisors
- Tom Glocer (Legendary Reuters CEO)
- Mark Thompson (Legendary NYT CEO and current CNN chief executive)
- Jack Altman (CEO of Lattice, brother of Sam Altman)
- Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI's original GPT paper)
- Emad Mostaque (CEO of Stability AI)
- Doug Herrington (CEO of Worldwide Amazon Stores)
- Brad Smith (President of Microsoft)
- Tripp Jones (Partner at Uncork Capital)
- Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)
- Russ Heddleston (CEO of Docsend)
- Alex Mashrabov (Snapchat, Director of AI)
- Faizan Mehdi (Affinity, Director of Demand Generation)
- Health, dental, and mental health benefits
- Hybrid work in Toronto and NYC offices
- Competitive salary
- Flexible PTO
- Regular company retreats
- Mentorship opportunities with our world-class team, advisors, and investors
- Wellness and learning stipend
Machine Learning Intern
Posted today
Job Viewed
Job Description
Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks or months to run, and as a result it costs millions of dollars and takes years to design a molecule that is ready for testing in humans.
At Inductive Bio, we're using AI to build in silico models that can more accurately predict how molecules will behave in experiments. By predicting complex molecular properties directly from the molecular structure, our platform helps scientists make better decisions faster-ultimately bringing safer, higher-quality medicines to patients more quickly. We are enabled by a unique and growing proprietary data set, and we are already applying our methods to dozens of active drug discovery programs. Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery.
We are seeking Machine Learning Engineering Interns to join our talented, ambitious, and kind team for a few months. You'll have the opportunity to innovate on methods, work with leading drug discovery scientists, and apply your work immediately to drug programs at some of the most innovative biotechs in the world. You may also have the opportunity to publish on your work.
Types of projects you might work on:
- Improving methods for predicting molecular properties from chemical structures
- Improving generative chemistry methods
- Building agents that can synthesize complex information from drug programs and applying that information toward molecular optimization
- Engaging directly with our scientific users, incorporating their feedback into your work
- You are an advanced undergraduate or graduate student and have done research on machine learning methods, ideally (but not necessarily) related to machine learning for chemistry, biology, or more general work with LLMs
- You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches
- You are proficient in standard Python-based ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
- You have exceptional written and oral communication skills
Working at Inductive
At Inductive Bio, we know that the people on the team are what make us great. We offer competitive compensation for our interns. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees, including interns, should have full lives beyond their career.
Machine Learning Engineer
Posted 7 days ago
Job Viewed
Job Description
As a Machine Learning Engineer in the Digital Intelligence team, you will leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. Your expertise will promote the team to solve complex relevance and ranking problems, develop scalable features, and manage ML Ops for building innovative systems that benefit our customers across all lines of business.
**Job Responsibilities:**
* Oversee the analysis of complex datasets to inform decisions on real-world applications.
* Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
* Supervise data analysis activities and ensure effective visualizations are provided.
* Ensure the writing and deployment of software code in production systems is efficient and meets standards.
* Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
* Communicate complex issues clearly and credibly to senior management and stakeholders.
* Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.
**Required qualifications, capabilities and skills:**
* Master's degree in computer Science, Machine Learning or related field with 3 years of relevant experience Ph.D in computer Science, Machine Learning, or a related field with 1 year of experience.
* Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
* Solid understanding of core CS concepts, including common data structures and algorithms.
**Preferred qualifications, capabilities and skills:**
* Experienced in conducting design and code reviews.
* Proficient in cloud environments such as AWS, GCP, or Azure.
* Experienced in managing and deriving insights from large, both unstructured and structured datasets.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
**Base Pay/Salary**
Palo Alto,CA $128,250.00 - $95,000.00 / year; New York,NY 128,250.00 - 195,000.00 / year
Machine Learning Researcher
Posted 7 days ago
Job Viewed
Job Description
As a member of our Machine Learning team, you'll deal with DNA, RNA, small molecule design, materials design, and/or quantum physics. Previous experience in these domains is not required, but an interest in learning is.
**Who will love this job:**
+ An engineer who can run independent projects end to end and is familiar with tensorflow, pytorch, Pandas, and sklearn
+ A self-directed researcher who can wade through technical domains to get to "the real problem"
+ An excellent communicator who loves collaborating in a team environment
**What you'll do:**
+ Collaborate closely with scientists, developers, and drug hunters to deliver new research that meet business and product goals
+ Given a clean slate, assess the merit of an idea and help the team decide whether to develop it into a full feature
+ Use your own judgment and with support from teammates to architect and implement proof-of-concept solutions
+ Participate in a code reviewing environment that encourages learning and high code quality
**What you should have:**
+ Basic understanding of statistics
+ Ability to work with multi-dimensional data and solve data munging problems with python
+ BS, MS, or PhD, in Computer Science, Software Engineering, Machine Learning, Mathematics, Physics, or Chemistry
**We'd prefer to hire someone with.**
+ Familiarity with source control (GIT, SVN, etc.)
+ Understanding of continuous integration
+ Background in large-scale distributed computing (pbs, slurm, etc.)
+ Experience with building systems that operate on more than ten machines
+ Knowledge of log processing and data analysis
+ An independent interest in science (an undergraduate major or minor is a plus!)
**Pay and perks:**
Schrödinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces.
Sound exciting? Apply today and join us!
Estimated base salary range: $120,000 - $160,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.
_As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability._
Machine Learning Engineer
Posted 7 days ago
Job Viewed
Job Description
Hiring: W2 Candidates Only
Machine Learning Engineer
Posted 14 days ago
Job Viewed
Job Description
Hiring: W2 Candidates Only
Machine Learning Engineer
Posted 19 days ago
Job Viewed
Job Description
As a Machine Learning Engineer in the Digital Intelligence team, you will leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. Your expertise will promote the team to solve complex relevance and ranking problems, develop scalable features, and manage ML Ops for building innovative systems that benefit our customers across all lines of business.
Job Responsibilities:
* Oversee the analysis of complex datasets to inform decisions on real-world applications.
* Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
* Supervise data analysis activities and ensure effective visualizations are provided.
* Ensure the writing and deployment of software code in production systems is efficient and meets standards.
* Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
* Communicate complex issues clearly and credibly to senior management and stakeholders.
* Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.
Required qualifications, capabilities and skills:
* Master's degree in computer Science, Machine Learning or related field with 3 years of relevant experience Ph.D in computer Science, Machine Learning, or a related field with 1 year of experience.
* Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps.
* Solid understanding of core CS concepts, including common data structures and algorithms.
Preferred qualifications, capabilities and skills:
* Experienced in conducting design and code reviews.
* Proficient in cloud environments such as AWS, GCP, or Azure.
* Experienced in managing and deriving insights from large, both unstructured and structured datasets.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Base Pay/Salary
Palo Alto,CA $128,250.00 - $95,000.00 / year; New York,NY 128,250.00 - 195,000.00 / year
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Software Engineer (Machine Learning)
Posted today
Job Viewed
Job Description
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:
Software Engineer (Machine Learning) Responsibilities:
-
Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
-
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
-
payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
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Working on problems of diverse scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
-
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
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Demonstrates good judgment to develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
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Receiving little instruction from supervisor, code deliverables in tandem with the engineering team.
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Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
-
distributed clusters, multicore SMP, and GPU).
Minimum Qualifications:
Minimum Qualifications:
-
Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field and 36 months in the job offered or computer-related occupation
-
Requires 36 months of experience involving the following:
-
- Machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
-
- Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
-
- Scripting languages such as Perl, Python, PHP, or shell scripts 4. Python, PHP, or Haskell
-
- Relational databases and SQL
-
- Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
-
- Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
-
- Build highly-scalable performant solutions
-
and, 9. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
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
Software Engineer, Machine Learning
Posted today
Job Viewed
Job Description
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:
Software Engineer, Machine Learning Responsibilities:
-
Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
-
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
-
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
-
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
-
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
-
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
-
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Minimum Qualifications:
Minimum Qualifications:
-
Requires a Master's degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
-
Requires completion of a university-level course, research project, internship, or thesis in the following:
-
- Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
-
- Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
-
- Translating insights into business recommendations
-
- Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
-
- Developing and debugging in C, C++, and Java
-
- Scripting languages: Perl, Python, PHP, or shell scripts
-
- C, C++, C#, or Java
-
- Python, PHP, or Haskell
-
- Relational databases and SQL
-
- Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
-
- Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
-
- Build highly-scalable performant solutions
-
- Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
-
- Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
-
- Distributed systems
Public Compensation:
$218,402/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
Software Engineer, Machine Learning
Posted 1 day ago
Job Viewed
Job Description
Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
2. Implement custom user interfaces using latest programming techniques and technologies
3. Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
4. Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
5. Architect efficient and scalable systems that drive complex applications
6. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
7. Work on a variety of coding languages and technologies
8. Establish ownership of components, features, or systems with expert end-to-end understanding
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
11. Demonstrated experience driving change within an organization and leading complex technical projects
12. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
**Preferred Qualifications:**
Preferred Qualifications:
13. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
14. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
15. Understanding of information retrieval concepts, such as indexing, querying, and ranking
16. Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
**Public Compensation:**
$85.10/hour to $251,000/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