Guide
What is a ML / AI Engineer?
1,862 open roles across 782 companies right now · updated daily
ML / AI Engineers build, train, and ship machine-learning systems — from models and data pipelines to the production infrastructure that serves them. It's one of the highest-demand, highest-paid engineering tracks of the AI era. This board aggregates open ML/AI engineering roles daily from company ATS feeds and links to the original posting.
Frequently asked questions
What does an ML / AI Engineer do?
Designs, trains, evaluates, and deploys ML models; builds data and inference pipelines; and increasingly works on LLM/GenAI systems — across the line from applied research to production (MLOps).
ML Engineer vs. Data Scientist?
Data scientists focus on analysis, experimentation, and insight; ML engineers focus on building and shipping models as reliable production systems — it's an engineering-heavy track.
How much do ML / AI Engineers earn?
US mid-to-senior roles commonly land around $160k–$300k+ total comp, often with equity; it varies by company and level. Check each posting.
Compensation
In the US, ML / AI Engineer roles typically fall in the range of $192,500–$270,000 in base salary, with a median of $225,000 based on 817 roles with published salary data (46% coverage). See the ML / AI Engineer salary page for full data.
Top companies hiring ML / AI Engineers right now
782 companies have open ML / AI Engineer postings tracked by latchhire. Top employers by open headcount:
- 1. NVIDIA 66 open roles
- 2. OpenAI 65 open roles
- 3. Anthropic 43 open roles
- 4. Pinterest 24 open roles
- 5. Reddit 22 open roles
- 6. Scale AI 18 open roles
- 7. Workday 18 open roles
- 8. DoorDash 16 open roles
- 9. Databricks 13 open roles
- 10. Roblox 13 open roles
1,862 open ML / AI Engineer roles, updated daily
Direct from company ATS feeds — no aggregator lag.