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
Staff Machine Learning Engineer - Semantics - AV Labs
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for…
ML Engineer
Own the AI layer's learning loop at Alloy Robotics: build trusted evaluation systems, state-of-the-art retrieval over messy robot-fleet data, and drive inference costs down via routing, caching, and distillation, plus train task-specific models. Applied ML with LLMs and production Python, shipped weekly from a lean Sydney-based startup adding its first US hires.
Senior Data & Machine Learning Engineer
Senior engineer to own the end-to-end ad recommendation system — retrieval, ranking, vector search, feature stores, and dbt/Snowflake-scale data pipelines — plus subscriber tagging with foundation models, working directly with the CEO/CTO and growing toward leading an ML team. Hybrid role in New York City at a consulting firm.
Machine Learning Engineer (ML for Chip Design)
ML engineer who trains, fine-tunes, and post-trains LLMs for chip design and verification — building data pipelines, evaluation methods, and agentic AI workflows, and running experiments on large GPU clusters. Core stack: Python, PyTorch, Hugging Face, vLLM/SGLang, CUDA, Ray; on-site in San Jose 5 days a week.
PhD Autonomy Engineer Intern - Deep Learning / Computer Vision, 2027
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence,…
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models to improve our aerospace products and services. You will work closely with a…
AI/ML Software Engineer $140K–$190K – Sarasota, FL | Apply Now
🚨 Now Hiring: AI/ML Software Engineer in Sarasota, FL! Apply now with 24/7 PT. ✅ Responsibilities: - Design, develop, and implement AI/ML solutions for decision-making and SIGINT processing needs - Work with…
Senior Python Developer/ML Engineer
Senior Python Developer with ML Expertise Are you a passionate Python developer with a knack for machine learning? Selekit is on the hunt for a talented individual to join our innovative team remotely from anywhere in…
Senior Machine Learning Engineer
Senior Machine Learning Engineer who designs, builds, and optimizes scalable ML models and production systems, collaborating with data scientists and engineers across supervised, unsupervised, deep learning, and reinforcement learning techniques. Requires 3+ years of ML development experience and a CS/Math-related degree.
Senior Machine Learning Engineer, New Verticals Agentic Foundations
Senior ML engineer on DoorDash's New Verticals Agentic Foundations team, owning and improving LLM-based production agents (starting with the Ask grocery assistant) through eval-driven iteration, fine-tuning open-weights/SLM models, and balancing quality, latency, and cost. Works in Python with PyTorch/TensorFlow; hybrid role based in Seattle.
Staff Machine Learning Engineer, Personalization
Staff ML engineer on DoorDash's Personalization team designing, implementing, and shipping production machine learning for growth and personalization in grocery/retail consumer search, using causal inference and recommendation systems. Hybrid role in San Francisco; core stack is Python with PyTorch/TensorFlow.
Staff Machine Learning Engineer, Fulfillment Planning
Staff ML Engineer on DoorDash's Fulfillment Planning team, building and operating large-scale production ML systems for real-time delivery assignment, routing, batching, and ETA/fulfillment estimation. Day-to-day is hands-on Python and deep learning framework work, plus setting modeling standards and mentoring engineers.
Staff Software Engineer, Machine Learning
Staff ML engineer at DoorDash building production machine learning for the ads platform (budget pacing, automated bidding, audience targeting/embeddings) and the catalog product knowledge graph, owning the full ML lifecycle from training through deployment and experimentation. Stack includes PyTorch, PySpark, and Snowflake; hybrid role in Seattle.
Senior Machine Learning Engineer, Drive
Senior ML Engineer on DoorDash's Drive team, owning machine learning systems end-to-end for delivery/pickup ETA prediction, merchant prep-time estimation, order release optimization, and LLM/VLM-powered delivery quality signals, using Python, PyTorch, Spark and Airflow; based in San Francisco, Sunnyvale, or Seattle.
Senior Software Engineer, Machine Learning
Senior ML engineer on DoorDash's grocery/retail delivery team, building algorithmic and machine learning improvements to the catalog system and product knowledge graph. Owns the full ML lifecycle—training, deployment, experimentation, monitoring—using tools like PyTorch, PySpark, and Snowflake.
AI/ML Engineer (Computer Vision & Robotics)
Builds, optimizes, and deploys production computer vision models (PyTorch) onto edge hardware with ultra-low latency using CUDA/TensorRT, containerized with Docker/Kubernetes, for robots, drones, and unmanned systems. US-citizen hybrid role, NJ or Washington DC preferred.
Ai Ml Developer With Python
Mphasis is hiring a Python AI/ML developer in the United States to build AI-driven applications, data pipelines, and microservices. The work centers on Generative AI — RAG, LLM integrations, and agent orchestration with LangChain/LangGraph/CrewAI — deployed via Docker on AWS, Azure, or GCP.
Machine Learning and Python Subject Matter Expert
On-site Machine Learning and Python Subject Matter Expert in Chantilly, VA, supporting advanced data analytics, NLP, and ML initiatives for US Government customers. Builds, evaluates, and optimizes models with Python, spaCy/NLTK, PyTorch/TensorFlow, HuggingFace Transformers, and SQL, and presents findings to senior leadership. Requires an active security clearance with polygraph.