ML / AI Jobs in United States
There are 4,485 open ML / AI jobs in United States on freehire right now. 1,045 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| USD | year | $194,895 | $227,500 | $262,500 | 805 |
| USD | hour | $45 | $70 | $90 | 69 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 95%
- ai 82%
- python 71%
- pytorch 47%
- llm 45%
- cloud 44%
- deep-learning 32%
- tensorflow 31%
How the work is done
- Remote 832 · 19%
- Hybrid 553 · 12%
- Onsite 521 · 12%
Visa sponsorship offered in 56% of the 514 postings that state a position on it.
Seniority
- Senior 1,104
- Staff 441
- Lead 312
- Intern 244
- Principal 202
- C-level 139
Who is hiring
- 1000+ employees 556
- 501-1000 employees 145
- 11-50 employees 67
- 51-200 employees 51
- 201-500 employees 15
- 1-10 employees 4
Senior Machine Learning Scientist
Build and deploy cutting-edge LLM, multimodal LLM, and computer-vision models for cloud, devices, and robotics to enhance law-enforcement and public-safety applications.
Senior Machine Learning Engineer I
Senior ML Engineer owning the full infrastructure stack—data pipelines, training/eval infra, inference serving, vector search, and orchestration—for agentic video and multimodal reasoning systems, using Python, PyTorch/TensorFlow, and cloud platforms.
Senior Machine Learning Engineer
Builds and deploys small language models that enforce real-time AI governance policies, undoing harmful agent actions while optimizing for latency and cost in enterprise environments.
Spring 2027 AI/ML Engineering Intern
Build AI features and agents for a nuclear-energy startup’s operating system, shipping models for site evaluation, scheduling, and anomaly detection used by reactor construction teams.
Summer 2027 AI/ML Engineering Intern
Build AI agents and LLM-driven workflows for a reactor-construction OS used by teams deploying next-gen nuclear plants, shipping models and features to production.
Senior AI/ML Engineer
Position Overview The Senior AI/ML Engineer designs, develops, deploys, and operates production-grade artificial intelligence and machine learning solutions that deliver measurable business outcomes. This role combines…
AI/ML Engineering Lead
Leads one or more AI/ML prototyping teams delivering GenAI pilots (including Google Gemini-based solutions) for a U.S. Customs and Border Protection program, acting as the primary technical contact for government stakeholders. Day-to-day: set GenAI technical direction (RAG, agents, evaluation), run code/design reviews and Agile delivery, and mentor engineers. Mostly remote with ~1 day/week on-site
AI/ML Engineer (Mid-Level)
Mid-level AI/ML engineer at a small federal subcontractor builds GenAI features — RAG pipelines, prompt-driven workflows, and LLM API integrations — for a mission-critical DHS/CBP program. Hybrid (~1 day/week on-site in Ashburn, VA); core stack is Python plus JavaScript/TypeScript or Java with SQL/NoSQL. Requires U.S. citizenship and a DHS/CBP Public Trust.
Senior AI/ML Engineer
Senior AI/ML Engineer building GenAI features (RAG, tool calling, agents) on Google Gemini for a federal CBP program, and integrating them into full-stack apps from Angular front ends to back-end services, APIs, and databases. Hybrid role based in Ashburn, VA; U.S. citizenship required.
Senior ML/AI Engineer
Senior ML/AI Engineer at a healthcare startup building the ML/AI systems and real-time decision platform that guide specialty care for joint, back, and muscle conditions. Day to day: taking predictive and GenAI models from prototype to production on Databricks and AWS — deployment, retraining, monitoring, and streaming integrations.
Staff Software Engineer - AI/ML Platform
Staff engineer owning the architecture and hands-on delivery of Fanatics' internal AI platform: the LLM gateway, agent/MCP runtime, retrieval layer, evaluation loops, and governance/cost controls. Core stack is Python/FastAPI on AWS (Bedrock), Kubernetes/Terraform, and petabyte-scale data infrastructure.
Sr. Applied Machine Learning Engineer
Senior applied ML engineer at Plug, an automotive fintech startup running a used-EV marketplace, building and running production models for instant offers, pricing/volume forecasting and battery state-of-health, plus LLM pipelines for document data extraction. Python, PyTorch/XGBoost, SQL, Snowflake/dbt; onsite in LA.
AI/ML Engineer
Build and deploy AI/ML models that personalize banking experiences for millions of users using financial and behavioral data, working with transformers and deep learning in a hybrid fintech environment.
Senior Software Engineer, Machine Learning Platform
Senior engineer on Chime's Machine Learning Platform team, designing and operating scalable ML/AI infrastructure on AWS — model training, feature stores, real-time inference, LLM access, and agentic orchestration. Core stack: Python/Go/Scala/Java, Spark/Ray, Terraform, Kubernetes, and streaming tools like Kafka and Flink.
Tech Lead Manager, Machine Learning, Growth and Marketing
Leads a team of data scientists and ML engineers at Chime building growth and marketing models — LTV prediction, churn risk, segmentation, attribution, and referrals — to drive customer acquisition and retention. Hands-on work with Python, SQL, and a modern ML/data stack (AWS, Kafka, Airflow, Spark, Snowflake).
Staff AI/ML Engineer
Staff AI/ML Engineer on Chime's Lending and Cashflow team, building and deploying deep learning and classical ML underwriting models that turn members' transaction and cash flow data into credit decisions for products like MyPay, Instant Loans, and SpotMe. Day to day: owning models end to end (training, evaluation, deployment, monitoring) plus feature pipelines and real-time inference, using Pytho