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
Lead Bioinformatics & Machine Learning Scientist
Natera is seeking a Lead Bioinformatics & Machine Learning Scientist to join our Bioinformatics Research team and help build the machine learning models behind Natera's tissue-free, methylation-based assay. These will…
Lead Bioinformatics & Machine Learning Scientist
Natera is seeking a Lead Bioinformatics & Machine Learning Scientist to join our Bioinformatics Research team and help build the machine learning models behind Natera's tissue-free, methylation-based assay. These will…
Senior Staff Machine Learning Engineer, Consumer
Leads AI-driven personalization for DoorDash’s consumer shopping journey, designing and deploying ML models to enhance search, discovery, and recommendations across food, grocery, and retail—scaling teams and mentoring engineers to modernize recommendation systems.
Machine Learning Engineer
Machine Learning Engineer on Lucid Motors' GeoAI team building auto-labeling and perception systems for ADAS/autonomous driving: training camera/LiDAR detection, segmentation, and tracking models, 3D scene reconstruction (3DGS), and foundation-model-driven data automation using Python/C++, PyTorch, and distributed GPU/cloud infrastructure.
Machine Learning Engineer, Radar
Build and deploy deep learning models to detect and prevent fraud in real-time for Stripe's global payment network, using Python, PyTorch, and Spark.
Staff Machine Learning Engineer – (ADAS/Autonomous Driving)
Leads the integration and deployment of advanced perception models into production ADAS and autonomous driving systems, optimizing performance on automotive-grade hardware using C++, Python, CUDA, and TensorRT.
Machine Learning Engineer, Search Quality
Build and improve Glean’s enterprise search and AI assistant by training ranking models, personalizing results, and adapting LLMs to customer data.
Senior Machine Learning Engineer, Inference
Senior Machine Learning Engineer, Inference Job Summary For our client, a fast-growing AI company building realtime voice and LLM technology, we are looking for a Senior Machine Learning Engineer with strong expertise…
Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)
Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to…
Senior Staff Machine Learning Engineer, Perception, Simulation Realism
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo…
Anthropic Fellows Program, AI Safety & Security
4-month research fellowship building AI safety/security projects with public outputs, mentored by Anthropic researchers using open-source tools and compute budgets.
Machine Learning Engineer, Platform Architecture
At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You’ll collaborate with engineers across Apple to design how our technologies work in unison,…
Principal Machine Learning Engineer, Ads & Promos Delivery
Lead AI-driven ranking and relevance systems for DoorDash’s ads marketplace, designing and deploying ML/LLM models to personalize ad delivery in real time across global markets.
Senior Staff Machine Learning Engineer, Ads
Leads AI-driven ads and promotions delivery systems at DoorDash, designing real-time ranking/relevance models using deep learning, LLMs, and sequence modeling to optimize merchant-consumer matching across search/discovery platforms.
Staff Machine Learning Engineer, Causal Inference
A Staff Machine Learning Engineer focuses on causal inference at DoorDash, building production systems for uplift models, counterfactual evaluation, and connecting experiments with ML to drive decisions across new verticals like grocery and retail.
Staff Machine Learning Scientist, Applied Causal Inference
Designs, builds, and productionizes causal ML systems (uplift models, heterogeneous treatment effect, counterfactual evaluation) for DoorDash's New Verticals (grocery, retail, etc.) to influence marketplace decisions like promotions and recommendations.
Principal Machine Learning Engineer, Causal Decisioning
Principal-level technical leader for DoorDash's Causal ML pod in New Verticals (grocery, convenience, retail): sets multi-year causal ML strategy, defines a company-level causal value metric, and builds production causal decisioning systems (treatment effect estimation, counterfactual policy evaluation, surrogate metrics) connecting experiments, observational data, and ML for promotions, ranking,
Machine Learning Intern (Masters) - Summer 2027
A 12-week Summer 2027 machine learning research internship for Masters students at DoorDash. The intern conducts applied ML/AI research (ranking, recommender systems, computer vision, causal inference, ads) to improve discovery, ads, forecasting, fulfillment, and search, using Python or systems languages and ML frameworks like TensorFlow/PyTorch.
Machine Learning Intern (PhD) - Summer 2027
DoorDash is hiring PhD students for a 12-week Summer 2027 machine learning internship in San Francisco, Sunnyvale, NYC, or Seattle. Interns conduct applied ML research (recommender systems, ranking, ads, computer vision, causal inference) to improve DoorDash's discovery, ads, search, forecasting, and fulfillment experiences.
Software Engineer, Machine Learning Platform - Gen AI
Engineer on DoorDash's GenAI Platform team building production ML infrastructure: real-time GPU serving and high-throughput batch inference for open-weight LLMs/VLMs, plus fine-tuning (SFT/DPO/LoRA), LLM Gateway, evals, guardrails and cost attribution. Core stack: Python, distributed systems, GPU inference engines, Kubernetes, AWS/GCP.