Data scientist jobs in the United States (7,875 jobs)

Find data scientist jobs across the United States. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 7,875
Employers: 2,819

Advertised starting pay

Average starting payUSD / year: $147,551Across 1,443 listings
Average starting payUSD / hour: $62.74Across 257 listings
Average starting payUSD / month: $8,669Across 12 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 11%870 listings
Hybrid: 6%501 listings
On-site: 13%1,027 listings

Not specified: 70% (5,477 listings)

Employers hiring include Salesforce.com (285), Apple (146), Walmart (117).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in the United States

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Added 27 days ago
R
Machine Learning Engineer
Ramp
New York City, NY
- $200,000 to $330,000 USD / year
The problems are high-stakes, data-dense, and unforgiving.
Added 27 days ago
R
Data Scientist
Ramp
New York City, NY · San Fransisco, CA
- $137,120 to $297,330 USD / year
The problems are high-stakes, data-dense, and unforgiving.
Added 27 days ago
MG
Data Scientist, Marketing Analytics
Match Group
NY · Los Angeles, CA
- $130,000 to $160,000 USD / year
Added 27 days ago
Staff Data Scientist– Pricing Science
CSC Generation
Remote, United States
…transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience,…
Added 27 days ago
Senior Machine Learning Engineer, Causal & Decision Systems
CSC Generation
Austin, TX
…transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience,…
Added 27 days ago
O
Machine Learning Engineer, Core Experimentation
OpenAI
Seattle, WA
- $437,000 to $485,000 USD / year
Added 27 days ago
O
Data Scientist, B2B Strategy & Intelligence
OpenAI
San Francisco, CA
- $347,000 to $510,000 USD / year
We are hiring a Data Scientist to help build OpenAI's B2B ecosystem and go-to-market data science capability. You will turn ambiguous commercial questions into evidence, recommendations,…
Added 27 days ago
O
Data Scientist, Real Estate & Workplace
OpenAI
San Francisco, CA · Mountain View, CA
- $266,000 to $385,000 USD / year
We’re hiring a Data Scientist to support Real Estate & Workplace (REW), a fast-moving global team focused on creating workplaces that help OpenAI’s people do their best work while scaling…
Added 27 days ago
O
Machine Learning Engineer, Multimodal Perception and Authentication
OpenAI
San Francisco, CA
- $342,000 to $399,000 USD / year
Added 27 days ago
O
Data Scientist, SMB Ads Growth
OpenAI
San Francisco, CA
- $293,000 to $515,000 USD / year
OpenAI's ads platform is experiencing rapid global scale. As the Lead Data Scientist for SMB Ads Growth, you will architect the analytics function end-to-end - driving strategy across…
Added 27 days ago
O
Data Scientist, Ads Demand
OpenAI
San Francisco, CA
- $293,000 to $515,000 USD / year
OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value…
Added 27 days ago
O
Data Scientist, Safety
OpenAI
San Francisco, CA
- $265,000 to $380,000 USD / year
We are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly. We are hiring Data Scientists across severa
Added 27 days ago
O
Data Scientist, Core Experimentation
OpenAI
Seattle, WA
- $347,000 to $385,000 USD / year
Added 27 days ago
O
Data Scientist, FinEng
OpenAI
San Francisco, CA
- $293,000 to $515,000 USD / year
Added 27 days ago
O
Machine Learning Engineer, API Multicloud
OpenAI
San Francisco, CA
- $223,000 to $423,000 USD / year
Added 27 days ago
O
Machine Learning Engineer, Monetization AI/ML
OpenAI
San Francisco, CA
- $381,000 to $555,000 USD / year
Added 27 days ago
O
Data Scientist, B2B Demand Generation, Growth & Measurement
OpenAI
San Francisco, CA
- $293,000 to $385,000 USD / year
Job Description: Data Scientist, B2B Demand Generation, Growth & Measurement
Added 27 days ago
Senior Machine Learning Engineer
Awetomaton
Beavercreek, OH
Added 27 days ago
UM
Data Scientist (Cost Optimization)
US Mobile
United States
- $140,000 to $190,000 USD / year
Added 27 days ago
A
Staff Machine Learning Engineer
Atoms
San Francisco, CA
- $273,000 to $345,000 USD / year
Added 27 days ago
Senior Machine Learning Engineer
Atoms
San Francisco, CA
Added 27 days ago
A
Senior Machine Learning Engineer
Atoms
Mountain View, CA · NY
- $190,000 to $250,000 USD / year
Added 27 days ago
Senior Data Scientist – Payload & SAT-RAN
AST SpaceMobile
Lanham, MD
The Senior Data Scientist – Payload & SAT-RAN defines, builds, and operationalizes SAT-RAN data models across Payload, Gateway (GW), and Cellular/RAN subsystems. T
Added 27 days ago
Fleet Scheduler Data Scientist
AST SpaceMobile
Lanham, MD
We are seeking a Fleet Scheduler Data Scientist to define, build, and operationalize algorithms that optimize and control this network. This role will lead the des
Added 27 days ago
R
Senior Machine Learning Engineer
Replicant
Remote, United States
- $170,000 to $210,000 USD / year

OpenAI

Machine Learning Engineer, API Multicloud

San Francisco, CA, United States

$223,000 to $423,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $223,000 to $423,000 USD / year
Experience: 3+ years of professional engineering experience in relevant ML, infrastructure, or product-driven engineering roles.
Posting language: English
Posted: Aug 12, 2026

Original job description

ABOUT THE TEAM

OpenAI’s API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS https://openai.com/index/openai-on-aws/. The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied.

The team is focused on bringing core developer and enterprise capabilities into cloud-native environments, including AWS-hosted Codex, model customization / post-training as a service, and new stateful runtime environments for agentic workloads. This work sits at the intersection of production ML systems, developer platforms, model behavior, and large-scale infrastructure.

ABOUT THE ROLE

We’re hiring Machine Learning Engineers to build and improve the AI systems that help strategic partners adapt OpenAI models to important use cases in cloud-native environments. This role spans post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration.

You’ll work at the boundary between partner needs and core ML systems: helping teams understand what is and isn’t working, diagnosing issues in training and evaluation workflows, and turning those learnings into improvements to the underlying platform. You should enjoy working with external technical partners, extracting the real goal from messy requests, and pushing back or reframing when the requested experiment is not the highest-leverage path. You’ll collaborate closely with Research, Applied, Safety Systems, infrastructure teams, and external technical partners to solve ambiguous model-performance problems. When you succeed, strategic partners and internal teams will be able to improve model behavior with confidence, driving measurable product improvements while the systems behind that work become more reliable, scalable, and effective over time.

IN THIS ROLE, YOU WILL

Partner with strategic customers and internal teams to define target model behaviors, diagnose failure modes, and translate real-world needs into training, evaluation, and system requirements.
Build and scale production ML systems for model customization, post-training, and fine-tuning-as-a-service workflows.
Design, run, and interpret experiments to see whether training and customization workflows are producing the intended outcomes, and identify changes to data, evaluation, training, or infrastructure that improve performance.
Partner with backend and infrastructure engineers to integrate ML capabilities into AWS-native API environments.
Feed learnings from partner deployments back into the platform by proposing and implementing improvements to post-training systems, tooling, APIs, and developer workflows.
Work closely with Research and Applied teams to bring model improvements, training workflows, and evaluation best practices into production.
Help design systems that allow strategic partners and enterprise customers to safely customize OpenAI models for high-value use cases.
Debug and improve complex systems spanning model behavior, training data, APIs, distributed infrastructure, and customer-facing product surfaces.
Operate with high ownership in a 0→1 environment where requirements are ambiguous, systems are evolving quickly, and reliability matters.

YOUR BACKGROUND MIGHT LOOK SOMETHING LIKE:

Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
3+ years of professional engineering experience in relevant ML, infrastructure, or product-driven engineering roles.
Strong ML engineering experience building, training, fine-tuning, evaluating, or deploying production AI systems, with hands-on experience in deep learning, transformer models, and frameworks like PyTorch or TensorFlow.
Hands-on experience with training and fine-tuning large language models, including methods like supervised fine-tuning, distillation, preference optimization, reinforcement learning, or other post-training techniques.
Strong software engineering fundamentals, including data structures, algorithms, systems design, and high-quality production code in Python, Rust, or similar languages.
Experience with model customization, evaluation systems, data pipelines, distributed systems, cloud infrastructure, or production ML platform tradeoffs.
Ability to operate across model behavior, APIs, and infrastructure, while collaborating closely with Research, Safety, product engineering, infrastructure, and external technical partners.
Comfort moving quickly through ambiguity, owning problems end-to-end, and learning whatever is needed to get the job done.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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More about this job

Skills

Machine learning
AWS
Research
ML
Computer science
Deep learning
PyTorch
TensorFlow
Python
Rust
Grading systems

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