Baseten
AI Engineer
San Francisco · Mid
Sponsorship not specifiedDetected 36 days ago
BigQueryDatabricksMachine LearningSparkSalesforceCRMForecastingResearchLeadership
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About the role
- Baseten's Compute org is in hyper growth.
- As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do.
- We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast.
Responsibilities
- Ship AI-powered workflows for Compute and C3: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation.
- Get insights in front of the team: turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on. A build isn't done until the team is using it.
- Audit the stack and generate your own backlog: Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap.
- Ship team-productivity workflows fast: triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday.
- Think in systems, not solutions: every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later.
- Document what you build: if people can't find it, understand it, or trust it, it doesn't matter how well it works.
- We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital.
- Join us and help build the platform engineers turn to ship AI products.
- build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation.
Requirements
- 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company
- Direct experience with a CRM or system-of-record platform (Salesforce or similar)
- A track record of owning end-to-end AI and automation workflows
- Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks
- Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments
Nice to have
- Familiarity with GPU infrastructure, capacity planning, or fleet management concepts
- Experience with high-stakes, operationally complex environments where mistakes have real business impact
- Challenging work and exposure to the operational core of a fast-scaling AI infrastructure company
Skills
- Integrate third-party
Compensation
- Competitive compensation, including meaningful equity
Benefits
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
- If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
- By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production.
Company info
- turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on.
- A build isn't done until the team is using it.
- Audit the stack and generate your own backlog:
- Compute runs on a mix of tooling with real overlap and real gaps.
- Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap.
- At Baseten, we are committed to fostering a diverse and inclusive workplace.
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