Mid-level SaaS AI & ML Engineer jobs in San Francisco
AI engineer, machine learning engineer, applied scientist and AI research roles at SaaS companies.
Research Program Manager, Data Acquisition
Research Scientist, Life Sciences
Software Engineer, Monetization ML Infrastructure
Applied AI Engineer, Startups
Performance Engineer, Inference Systems
AI Systems Engineer, Codex Agents
Software Engineer, Developer Productivity – Inference Runtime
Research Engineer, Post-Training Model Evaluations
Applied AI Engineer
Applied AI Architect, Commercial
Software Engineer, Kernel Performance & AI Tooling
Applied AI Scientist
Applied AI Engineer, Codex Core Agent
Research Scientist, AI Safety and Alignment
Transformative AI Research Economist, Economic Research
Software Engineer, Agentic AI
Infrastructure Software Engineer, Enterprise GenAI
Software Engineer, AI Gateway
Applied AI Architect, Enterprise
Applied AI Architect, Digital Natives
Applied AI Architect, Digital Natives (Strategics)
Research Program Manager – Adversarial Model Research
Software Engineer, Research – Human Data
Research Engineer, Visual Knowledge Work
Top companies hiring for AI & ML Engineer
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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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