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
Machine Learning Engineer Intern
A 12-week summer 2027 internship on Coinbase's Machine Learning team in San Francisco (hybrid), where the intern owns a research-to-production project building and deploying ML models and pipelines for platform security, personalization, and crypto use cases using PyTorch/TensorFlow and production-quality Python.
Staff Machine Learning Engineer, AI Platform & Agentic Apps
Staff-level ML engineer building the agent harness behind every AI agent at Robinhood: orchestration, tool integrations, context/memory, trajectory-level evals, and action guardrails shipped as platform primitives for internal and customer-facing agents. Core stack is Python, LLMs, and distributed systems; hybrid role in Menlo Park, CA.
Hardware Machine Learning PhD Research Internship
A PhD research internship at IMC Trading in Chicago focused on deploying machine learning onto custom hardware (FPGAs/ASICs) for low-latency ML inference. The intern owns a research project end-to-end, works hands-on with hardware engineers, and leaves behind a prototype or benchmark using tools like PyTorch/TensorFlow, VHDL/SystemVerilog, HLS, hls4ml, FINN, and Vitis AI.
Machine Learning Engineer Intern - Summer 2027
A 10-week summer 2027 internship at proprietary trading firm IMC in New York, building systems that train and deploy large-scale ML models using GPU acceleration and distributed computing to support trading strategies. Includes mentorship, training, housing, and a path to a graduate role for strong performers.
Deep Learning Researcher
Research and deploy ML models to generate trading signals and optimize portfolios, collaborating with quants and engineers using Python and PyTorch/TensorFlow.
Staff Machine Learning Engineer
Staff ML engineer on Coinbase's CX Intelligence team, owning end-to-end design and delivery of production machine learning systems (LLMs, deep learning, graph neural networks, classical ML in Python) that power customer support routing, classification, evaluation, and safety. Also mentors engineers and drives technical strategy with cross-functional stakeholders.
Staff Software Engineer, AI/ML
Staff-level IC on DigitalOcean's Applied Research team, owning the technical direction for feedback-driven learning in agentic AI systems — reward modeling, preference optimization (RLHF, DPO, PPO, GRPO), and evaluation infrastructure — shipping research to production. Hybrid role in Seattle; 8+ years of production AI/ML experience required.
Principal Engineer, AI/ML Security
Leads DigitalOcean's AI/ML security: owns the AI security strategy and multi-year roadmap, builds in-house ML guardrails and security tooling, runs AI red-teaming and threat modeling across the ML lifecycle, and owns AI risk & governance. Core stack: Python, Go, adversarial ML, LLM/RAG security, MITRE ATLAS and NIST AI RMF.
Senior Technical Account Manager, AI/ML
Senior Technical Account Manager at DigitalOcean partners with key business customers to design cloud architectures, optimize deployments, and drive long-term growth using AI/ML and cloud technologies.
Senior Solutions Architect II, AI/ML
Senior Solutions Architect role advising DigitalOcean's largest customers on AI/ML cloud infrastructure, including deploying and fine-tuning LLMs (DeepSeek, Llama, Claude), optimizing GPU workloads with CUDA/TensorRT, and designing scalable AI applications using Kubernetes and NFS. Works closely with Sales and Customer Success teams to drive retention and expansion.
Staff Machine Learning Engineer - Game Tech Group, ML Platform
Architect and scale ML infrastructure for game AI systems, focusing on model serving, orchestration, and deployment workflows to move models from experimentation to production reliably.
AI/ML Modeling Team Lead
Leads an AI/ML modeling team building predictive maintenance models for the U.S. Air Force CBM+ program, fusing historical aircraft maintenance records with real-time sensor telematics in the Advana platform to forecast component failures and optimize fleet maintenance. Requires an active DoD Secret clearance and 6+ years in data science/ML.
Senior Machine Learning Engineer, Discovery Recommendations
Senior ML engineer who designs, builds, and optimizes the recommendation systems powering Fortnite's Discover experience — retrieval, ranking, and reranking models over a fast-changing creator-content catalog, using PyTorch (TorchRec, Transformers), Ray, Databricks, and AWS, with A/B experimentation and ML serving infrastructure. Based in Cary, NC.