Mid-level SaaS AI & ML Engineer jobs in San Francisco
AI engineer, machine learning engineer, applied scientist and AI research roles at SaaS companies.
Machine Learning Research Scientist, Evaluations
People Research Scientist
Software Engineer, AI accelerator Runtime
Software Engineer, AI Connections (Developer Platform)
Research Engineer / Research Scientist, Health
Machine Learning Engineer, Multimodal Perception and Authentication
Research Scientist, Life Sciences (Chemistry)
Machine Learning Engineer, API Multicloud
AI Infrastructure Operations, Demand Planning
Researcher, Frontier Risk Mitigations
Applied AI Architect, Enterprise Tech
Researcher, Recursive Self-Improvement Safety
Research Engineer / Research Scientist / AI Systems Engineer, RSI
Researcher, Alignment CoT Monitorability
Researcher, Frontier Cybersecurity Risks
Research Engineer / Research Scientist – Post Training, Personalization
Research Engineer / Research Scientist – Post Training, Memory
Researcher, Multimodal Safety
Frontier Agents Engineer (Applied AI)
Applied AI Software Engineer, GTM Growth Engineering
Research Engineer
Research Engineer/Research Scientist- Post Training, Model Experience
Member of Technical Staff — Research, Physics
Research Program Manager, Human Data Campaigns
Top companies hiring for AI & ML Engineer
All 21 companies →Remote AI & ML Engineer jobs by region
AI & ML Engineer jobs by country
AI & ML Engineer jobs by city
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About these roles
AI & ML Engineer jobs at SaaS companies
AI and machine learning engineers build the models and systems behind AI features: training and fine-tuning models, retrieval and evaluation, inference infrastructure and agents built on large language models. Research roles at AI labs focus on new methods, alignment and safety.
For what SaaS companies pay AI & ML Engineer roles by level, location and company, see the AI & ML Engineer salary guide.
Pay depends heavily on level and location. Where companies publish a range, the typical role on this page lists $272k–$385k in the US (median published minimum and maximum). About 93% of the roles here include a salary; use Salary listed first to see those at the top.
Remote roles make up 1% of the openings on this page. Most remote roles are limited to a region for tax and time-zone reasons, so check the location chips before you apply.
21 SaaS companies are hiring for these roles right now, led by OpenAI, Anthropic, and Causal.
Questions about Mid-level SaaS AI & ML Engineer jobs
Where do these Mid-level SaaS AI & ML Engineer jobs come from?
Every job is pulled from the company’s own hiring system (Greenhouse, Lever, Ashby, Workable or Rippling) once an hour. We do not accept paid or reposted listings, so each role links back to the company’s live careers page.
What happens when I click Apply?
You go straight to the job on the company’s careers site and apply there. We never host applications and never see or store your details.
Why don’t all jobs show a salary?
We only show pay when the company publishes it in the job post. Around 93% of the roles on this page include a range today. Sort by “Salary listed first” to see those roles at the top.
How do I know a job is still open?
We check every company’s job board hourly. When a role is removed from the careers page, we remove it here within the hour and point you to similar open roles.
How much do SaaS AI & ML Engineer roles pay?
Where companies publish a range, the typical open role here lists $272k–$385k in the US (median published minimum and maximum). Pay rises with level and varies by location; the AI & ML Engineer salary guide breaks it down.
Are all of these roles based in San Francisco?
Each role has at least one office or hiring location in San Francisco. Some postings list several locations or also allow remote work; the location chips on each job show the full picture.
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