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ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. 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. We're growing quickly and recently raised our $300M Series E https://www.baseten.co/blog/announcing-baseten-s-300m-series-e/, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE:
You’ll join a small team building new products at Baseten. This role is for an infrastructure-leaning, product-minded engineer who likes owning ambiguous problems end-to-end: from shaping an API and system design, to operating it in production with clear SLOs.
You’ll build core platform capabilities that power how researchers, developers and partners ship and operate AI products at scale: API gateways, auth/keys, quotas and metering, multi-tenant isolation, observability, and the workflows around deploying and managing model-backed services.
EXAMPLE INITIATIVES:
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Model APIs for frontier models https://www.baseten.co/products/model-apis/
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Model training built for production inference https://www.baseten.co/products/training/
RESPONSIBILITIES:
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Own and lead projects and product areas end-to-end, including architecture, implementation, rollout, and long-term operations.
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Design ergonomic, developer-friendly APIs and abstractions for infrastructure capabilities.
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Build and operate reliable backend services (rate limiting, auth, quotas, metering, migrations) with clear SLOs.
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Drive performance and reliability improvements through profiling, tracing, load testing, and capacity planning.
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Mentor teammates through code reviews, design docs, and technical leadership.
REQUIREMENTS:
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5+ years of experience building and operating backend systems, distributed systems, or large-scale APIs.
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Proven track record owning low-latency, reliable services (auth, rate limiting, quotas, usage metering, migrations).
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Strong infrastructure instincts: observability, incident response, SLOs, and capacity management.
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Comfort working across the stack when needed (backend-first, but willing to dive into frontend/CLI to unblock the product).
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Strong written communication, including clear design docs and effective cross-functional collaboration.
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Interest in AI/ML infrastructure and willingness to learn (ML expertise not required).
NICE TO HAVE:
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Experience with API gateways, service meshes, Kubernetes, or distributed scheduling.
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Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows.
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Experience with inference platforms, LLM runtimes, or performance-sensitive systems.
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Familiarity with multi-tenant isolation patterns (fair queuing, noisy-neighbor controls, admission control).
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Frontend experience (React/TypeScript) or strong product UX instincts for developer tools.
BENEFITS:
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Competitive compensation, including meaningful equity.
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100% coverage of medical, dental, and vision insurance for employee and dependents
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Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
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Paid parental leave
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Company-facilitated 401(k)
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Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! 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.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
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About Baseten

Baseten
Series CBaseten provides a platform for deploying and scaling machine learning models in production environments. The company offers infrastructure and tools for ML engineers to build, deploy, and monitor AI applications.
51-200
Employees
San Francisco
Headquarters
$1.0B
Valuation
Reviews
3.8
41 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
3.9
Career
4.0
Management
3.6
73%
Recommend to a Friend
Pros
Supportive team and management
Opportunity for career growth
Good work-life balance and flexible environment
Cons
Career progression could be clearer
Internal communication could improve
Work-life balance varies by team
Salary Ranges
0 data points
Junior/L3
L2
L3
L4
L5
L6
Junior/L3 · Recruiter
0 reports
$183,600
total / year
Base
-
Stock
-
Bonus
-
$156,060
$211,140
Interview Experience
52 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer Rate
42%
Experience
Positive 66%
Neutral 21%
Negative 13%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
News & Buzz
Baseten to be acquisitive as AI inference heats up, co-founder says - Axios
Source: Axios
News
·
5w ago
NVIDIA (NVDA) Invests $150 million in Baseten - Yahoo Finance
Source: Yahoo Finance
News
·
6w ago
Baseten Raises $300M at a $5B Valuation to Power a Multi-Model Future - Business Wire
Source: Business Wire
News
·
6w ago
Baseten nabs $300M from IVP, CapitalG to challenge Together AI in inference - Tech Funding News
Source: Tech Funding News
News
·
6w ago