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 AI/ML Test and Evaluation Engineer
Senior engineer who builds and runs benchmark and evaluation harnesses for AI models and agentic workflows, pairing automated metrics with structured human expert judgment to produce defensible reports for government stakeholders. Hands-on work in Python, PyTorch, and the Hugging Face ecosystem on an open-source toolchain.
Senior AI/ML Engineer
The Senior AI/ML Engineer will build and scale complex multi-agent AI systems and RAG architectures using Python, AWS, and modern generative AI frameworks. The role focuses on developing, fine-tuning, and deploying AI solutions within a financial infrastructure environment.
Hardware Machine Learning Engineer
Design and deploy ML models directly onto custom hardware, co-architecting solutions with traders and engineers while optimizing for latency and resource constraints.
ASIC Design Verification Engineer, Machine Learning
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML…
Machine Learning Engineer, Physical Sciences AI
Senior ML engineer builds and deploys scalable AI pipelines for materials, chemistry and physical sciences, using PyTorch, cloud infra and production-grade MLOps.
Senior / Staff Machine Learning Engineer, Applied AI
Senior/Staff ML engineer on LILA's Applied AI team, adapting the company's scientific AI models to real customer workflows: training and evaluating LLMs, building evaluation loops, debugging model behavior, and moving capabilities into production systems. Core stack: Python, PyTorch/JAX, distributed training frameworks (DeepSpeed, Ray), and agentic LLM systems.
Machine Learning Scientist I / II, Protein Design
A machine learning scientist who designs protein-based therapeutic molecules on active biologics programs, building AI design workflows, reasoning/orchestration systems, and evaluation benchmarks that generalize across programs. Core work spans protein ML models, evaluation infrastructure, and high-throughput computational design.
Senior / Principal Chemist, AI Safety
A chemist on LILA Sciences' AI safety team maps chemical dual-use misuse risks from increasingly capable scientific AI — building safety strategy, evaluations, and mitigations while preserving beneficial chemistry. Requires deep chemistry expertise (PhD or equivalent) and dual-use risk assessment experience; base salary $148k–$208k USD.
Principal Machine Learning Engineer, Applied AI
A senior IC role adapting LILA's scientific AI models to customer workflows through post-training (SFT, RLHF-style methods like DPO/PPO/GRPO), building evaluation loops, and debugging production model behavior. Core stack is Python and PyTorch with deep LLM/multi-modal/agentic AI expertise.
Senior / Staff Machine Learning Engineer, Applied AI
Adapts LILA's frontier AI models to customer-specific scientific workflows: running post-training (SFT, DPO/PPO/GRPO), building evaluation loops, and integrating model behavior into end-to-end production products alongside AI research and software teams. Core stack is Python, PyTorch, and LLM/multi-modal/agentic AI systems.
Manager / Senior Manager, AI Safety Data and Evaluation Program
Leads AI safety data and evaluation programs at LILA Sciences: translating safety research briefs into executed expert-data, red-teaming, and evaluation campaigns, coordinating internal and external scientific contributors, and enforcing data-quality standards to produce the evidence base for safety decisions.
Staff / Principal Research Engineer, AI Safety Mitigations
Research engineer on LILA's AI safety team, building and testing safeguards that mitigate risks from increasingly capable closed-loop scientific AI — spanning model training, post-training, classifiers, monitoring, access controls, and runtime interventions. Works hands-on with frontier models, agents, and lab-connected workflows alongside science, evaluation, and platform teams.
Staff Software Engineer, AI Safety
Builds the shared software behind LILA Sciences' AI Safety team: reusable services, evaluations and red-teaming tooling, data pipelines, and researcher-facing apps to reduce risks from scientific superintelligence. Core stack is Python backend engineering with APIs, databases, and execution pipelines.
Senior / Principal Computational Biologist, AI Safety
Conducts original computational biology research on LILA's AI safety team, studying how LLMs, specialized biological models, agents and automated labs change what is biologically feasible, and translating risk judgments into evaluations, safeguards and dual-use policy boundaries. Requires deep computational biology expertise and strong scientific programming skills.
Senior / Principal Materials Scientist, AI Safety
LILA Sciences is hiring a Senior/Principal Materials Scientist for its AI safety team to map dual-use and misuse risks from increasingly capable scientific AI systems. Day to day: assessing materials-science threat landscapes, translating risk judgments into safeguards and policy boundaries, and collaborating across science, engineering, and policy.
Senior Python AI/ML & Generative AI Engineer
Job Description – Senior Python AI/ML & Generative AI Engineer Job Title: Senior Python AI/ML & Generative AI Engineer Location: Sunrise, Florida Experience: 5+ Years Job Summary We are seeking an experienced Python…
Senior Software Engineer, AI/ML, Technical Delivery, Google Public Sector
As an AI Engineering Software Engineer, you will design, build, and deploy Google AI solutions tailored for national security, public sector, and high-assurance enterprise missions. You will specialize in developing…
AI/ML Engineer – Azure
Role Description: • Design, train, deploy, and maintain machine learning models for document intelligence and computer vision solutions. • Develop OCR, signature verification, document classification, and object…
Senior Software Engineer, Machine Learning, Discover Interest Modeling and Retrieval
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive…
Senior Machine Learning Engineer, Fraud Detection
Build and deploy ML models to detect account-sharing fraud in real time for a global anime streaming platform, using anomaly detection and cloud-based MLOps pipelines.