Remote Data Science, ML & AI Jobs
Data science, machine learning, data engineering, analytics and applied-AI roles, remote across the US and Canada. The boom in LLMs and agentic systems means AI labs and product companies are hiring ML engineers, research scientists, data platform engineers and analytics leads — these listings come straight from each company's own careers board, refreshed daily.
- open roles
- 385
- open roles
- companies
- 75
- companies
- new this week
- 150
- new this week
- pay bands (242)
- $77k–$551k
- pay bands (242)
top companies hiring
latest data & ai roles
Senior Software Engineer - AI Platform Team
newEngineering - BackendCoinbase·Full-time·USA·Senior
Senior Staff Data Scientist - Consumer Relevance
newConsumer Data ScienceReddit·Full-time·United States·Lead·$233k - $326k
Analytics Engineer
newConsumer Data ScienceReddit·Full-time·United States·$164k - $230k
Staff Technical Product Manager, Ads ML Platform
newAds ProductReddit·Full-time·United States·Lead·$217k - $304k
Senior Analytics Engineer
newData ScienceReddit·Full-time·United States·Senior·$191k - $267k
Senior AI Enablement Specialist - FE
newITAll Cost CenterKong·Full-time·United States·Senior
People Data Analytics Lead
newHuman ResourcesHuman ResourcesHarvey·Full-time·Remote·Lead
Staff Machine Learning Systems Engineer, Embeddings Platform
newMachine LearningReddit·Full-time·United States·Lead·$253k - $355k
Machine Learning Engineer II, Computer Vision Applied Science
newATGPinterest·Full-time·San Francisco, CA, US; Remote, US·$139k - $286k
Data Analyst II, Core Ops
newBusiness IntelligenceAlma·Full-time·Contiguous US·$101k - $115k
Sr. Staff Machine Learning Engineer, Agentic Ads
newMonetizationPinterest·Full-time·San Francisco, CA, US; Remote, US·Lead·$228k - $469k
Staff Engineer, AI Productivity
newEngineeringHightouch·Full-time·North America·Lead·$180k - $400k
Software Engineer II, ML Platform, tvScientific
newtvScientificPinterest·Full-time·San Francisco, CA, US; Remote, US·$124k - $255k
Sr. Software Engineer, ML Platform, tvScientific
newtvScientificPinterest·Full-time·San Francisco, CA, US; Remote, US·Senior·$156k - $320k
Head of Machine Learning
newEngineeringHightouch·Full-time·North America·Lead·$230k - $400k
Software Engineer, AI Agents
newEngineeringHightouch·Full-time·North America·$180k - $400k
Machine Learning Engineer
newEngineeringTwilio·Full-time·US·$156k
Staff Technical Program Manager ML/AI Platform
newOversight EngineeringPinterest·Full-time·San Francisco, CA, US; Remote, US·Lead·$146k - $300k
Director, Machine Learning Engineering – Content & User Understanding
newCore EngineeringPinterest·Full-time·San Francisco, CA, US; Remote, US·$267k - $551k
Forward Deployed AI Engineer
newEngineeringEngineeringSardine·Full-time·United States
Senior Software Engineer - Data Platform
newPlatformSamsara·Full-time·Canada·Senior·$126k - $163k
Senior Data Engineer I
newPlatformSamsara·Full-time·Canada·Senior·$136k - $160k
Data Engineer II
newRevenue OperationsSamsara·Full-time·US·$102k - $154k
Senior Program Manager, Sales Programs – AI
newRevenue OperationsSamsara·Full-time·US·Lead·$102k
Senior/Principal Product Manager - Safety AI
newSafetySamsara·Full-time·Canada·Lead·$139k - $179k
Senior Manager, Safety AI
newSafety AISamsara·Full-time·US·Lead·$179k - $319k
AI Engineer
newBusiness SystemsSamsara·Full-time·Canada·$105k - $135k
Sr Staff / Staff Applied Scientist
newPlatformSamsara·Full-time·US·Lead·$200k - $358k
Senior Machine Learning Engineer - Platform
newPlatformSamsara·Full-time·US·Senior·$243k - $286k
Staff Machine Learning Engineer - Edge AI
newPlatformSamsara·Full-time·US·Lead·$179k - $319k
about remote data & ai work
What remote AI and machine learning roles are in demand?
ML engineers for recommendation and ads systems, LLM/agent engineers, data platform engineers, and analytics/data-science generalists. Staff-level ML roles at public tech companies frequently disclose bands above $220k base.
Do I need a PhD for remote data and AI jobs?
Mostly no. Research-scientist roles at labs may prefer one, but the bulk of listings — ML engineering, data engineering, analytics — value shipped production systems, strong Python/SQL and modern tooling over academic credentials.