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 II
Mid-level machine learning engineer at Kensho (S&P Global's AI innovation hub) in New York, building end-to-end RAG and agentic search pipelines: retrieval models, embeddings, vector databases, and LLM orchestration over large unstructured financial datasets. Core stack includes Python, PyTorch, LangChain, PGVector/OpenSearch, and AWS/Kubernetes.
Sr. Engineer, Machine Learning/Artificial Intelligence
Senior AI/ML engineer at STARZ, a premium TV/streaming entertainment company, mining large telemetry and operational datasets across a Snowflake data warehouse. Day to day: build ML models (anomaly detection, classification, clustering, time-series forecasting) and apply generative AI/LLMs to surface signals from video playback, customer care, device, and authentication data.
Senior Security Engineer, AI/ML
Senior engineer who both builds and attacks AI systems: develops GenAI apps, agentic pipelines, and RAG architectures (LangChain, LlamaIndex, vector DBs, Python) for threat detection, while red-teaming those same systems for prompt injection and adversarial threats. Sits on Qualys's security team doing hands-on ML engineering plus offensive AI security research.
Machine Learning Researcher - Springtail
ML researcher on Astera Institute's Springtail project, working on data-efficient model induction: new attention architectures, bootstrapped program synthesis, and systems that synthesize their own learning algorithms. Day-to-day is math- and experiment-driven deep learning research in PyTorch/JAX/CUDA/Triton, hybrid from the Emeryville, CA office.
Software Engineering Manager-AI/ML
KLA is hiring a Software Engineering Manager in Ann Arbor, MI to lead a team building AI/ML solutions — ML pipelines and LLM applications like RAG and agents — for its semiconductor inspection and metrology products. Requires 10+ years in software/AI engineering and 4+ years managing technical teams; pays $114.1k–$194k.
Machine Learning Lead, Bellwether
Hands-on machine learning lead on X's Bellwether team, building geospatial ML products that help predict severe weather and climate impacts like wildfires. The role spans architecting GCP-based production systems, ML development and MLOps, and mentoring engineers, using Python, PyTorch/TensorFlow/JAX, and Google Cloud Platform.
Senior Machine Learning Operations Engineer
Build and operate Mercury's ML platform for fraud/risk decisioning: a real-time low-latency model inference service, model registry and deployment with CI/CD, staged rollouts, and observability including drift detection. Core stack is Python (FastAPI/Flask), SQL, Redis/DynamoDB, and Kafka-style streaming pipelines.
Amazon Sr Technical Product Marketing Manager, AI/ML Product Marketing, AWS AI Marketing
Senior technical product marketing manager at AWS (Santa Clara) who owns positioning, messaging, and launches for AI products like Amazon SageMaker AI. Day to day: market and customer analysis, launch execution, technical content, and evangelism, backed by deep understanding of foundation model training and inference.
Staff Machine Learning Engineer
Hands-on staff-level ML lead at Kikoff, a consumer credit fintech: owns the ML platform and modeling roadmap end to end, spanning underwriting, fraud/risk, and personalization. Day to day: architecting feature stores, training/serving pipelines, and model governance, while personally leading credit underwriting models in Python.
ML Engineer Specialist - Freelance AI Trainer Project
A freelance machine learning engineer trains and evaluates advanced AI models by solving applied ML tasks, designing benchmarks, and improving datasets for next-generation language models.
Machine Learning Researcher, Multimodal LLMs
Builds Bland's next-generation multimodal LLM stack — combining speech, text, tools, and real-time reasoning — that powers enterprise AI phone agents, taking models from research idea through production systems. Core work spans prompting, fine-tuning, alignment, neural audio codecs, and streaming voice systems.
Machine Learning Researcher, Audio
Machine Learning Researcher at Bland doing foundational research across the voice AI stack — text-to-speech, speech-to-text, LLMs, and neural audio codecs — taking models from theory through large-scale training to real-time production inference for enterprise AI phone agents.
Staff / Principal Machine Learning Engineer, Inference - USA
Inworld, an AI research lab and inference provider serving realtime LLM/speech models at massive scale (10T+ tokens/month), is hiring a Staff/Principal ML Engineer in Mountain View to optimize model inference and serving infrastructure. Core work spans serving frameworks like vLLM/TRT-LLM, GPU performance tuning in C++/CUDA/Rust, and distributed scaling on Kubernetes/Ray. Onsite role with relocati
Senior / Staff Machine Learning Engineer, ACAI Training & Inference Platform
The ACAI Training & Inference Platform team is seeking a Senior / Staff Software Engineer with strong distributed systems expertise and deep experience in AI training and inference. As part of Apple Cloud AI (ACAI)…
Senior Machine Learning Engineer
Senior ML engineer on Taboola's R&D team in Downtown Los Angeles building the recommendation and ranking models behind Realize, Taboola's performance ad platform serving 600M+ daily users. Day-to-day is end-to-end model ownership in Python/Java with PyTorch/TensorFlow, plus evaluation harnesses and Hadoop/Spark/Kafka big-data pipelines; hybrid, 3 days in-office.
Engineering Manager, Machine Learning
An engineering manager at Apella who leads three technical teams (ML engineering for computer vision and forecasting, plus a Data Platform team) building applied machine learning for surgical healthcare operations. Day to day: hiring and mentoring engineers, owning ML architecture and deployment, and getting models reliably from research into production.