ML / AI Jobs in United States
There are 4,265 open ML / AI jobs in United States on freehire right now. 784 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 | $190,600 | $223,000 | $256,500 | 1,033 |
| USD | hour | $30 | $40 | $60 | 36 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 90%
- ai 77%
- python 61%
- pytorch 40%
- cloud 38%
- llm 37%
- deep-learning 27%
- tensorflow 27%
How the work is done
- Remote 695 · 16%
- Hybrid 531 · 12%
- Onsite 383 · 9%
Visa sponsorship offered in 63% of the 1,015 postings that state a position on it.
Seniority
- Senior 1,215
- Staff 466
- Lead 218
- Principal 205
- Intern 104
- C-level 58
Who is hiring
- 1000+ employees 1,182
- 501-1000 employees 278
- 11-50 employees 127
- 51-200 employees 101
- 201-500 employees 26
- 1-10 employees 5
Senior Software Engineer, Map Ads Machine Learning
Senior Software Engineer on Google Maps Ads ML, building and improving ML models for ad retrieval, pre/post-click quality, and pricing using Python or C++ with strong backend engineering skills.
Senior Software Developer – AI/ML Engineering
On our Corporate Systems AI team you’ll develop, customize, and integrate opportunities where AI can enhance operational efficiencies for in-house and third-party applications utilized across teams that span Human…
Senior Machine Learning Engineer
Build and deploy AI systems for public safety, including computer vision, speech recognition, NLP, and generative AI, across cloud and edge devices.
Lead Audio ML Engineer
Lead the design, training, and on-device deployment of audio ML models for wake-word detection, voice enhancement, and speech processing in Hark’s AI-powered hardware products.
Specialist Solutions Architect - AI/ML
Design and deploy production AI/ML architectures on Databricks, including GenAI, LLMs, and MLOps pipelines, while guiding customers and shaping product roadmaps.
Senior, ML Engineer - 3D Reconstruction
Build and deploy ML systems that reconstruct 3D lane lines and maps from noisy sensor data (cameras, LiDAR, radar, GPS/IMU) to power autonomous truck perception and HD mapping.
Senior, ML Engineer - 3D Reconstruction
Build and deploy ML models for 3D scene reconstruction, lane detection, and HD map creation using LiDAR/camera data to auto-generate high-quality annotations for autonomous trucks.
ML Engineer, II - Simulation Enablement
Build and scale Torc Sim, a simulation platform that replays and evaluates autonomy models against real and synthetic driving data, enabling teams to debug and improve ML models for self-driving trucks.
ML Engineer, II - App Engine
Develops a C++ SDK/framework for composing and running autonomous-truck software on embedded Nvidia devices, focusing on performance, safety, and resource constraints.
ML Engineer, II - New AI Initiatives
Build and deploy ML models for autonomous trucking, focusing on data pipelines, deep learning, and production deployment while exploring cutting-edge AI initiatives.
Senior Machine Learning Engineer, Recommendations
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft…