Baseten
Software Engineer - Training Infrastructure
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco
Employer listed it 13 months ago · Added 4 days ago
Been open since 13 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$165,000–$330,000
Location
Hybrid · San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, New York, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, New York, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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 $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Software Engineer on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack
EXAMPLE INITIATIVES
Take a look at what we’ve built so far:
Overview of the product so far
Training docs overview
Story of the Training product
Research we've done
RESPONSIBILITIES
Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking)
Partner closely with developers and research engineers to translate complex training requirements into technical solutions
Design and architect a global training scheduler
Design and architect reinforcement learning systems and continuous learning pipelines
Drive long-term improvements to improve reliability of systems and velocity of development
Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure
Make critical architectural decisions balancing performance with system reliability
Lead technical discussions and mentor junior engineers on infrastructure best practices
Contribute to long-term technical strategy and infrastructure roadmap
REQUIREMENTS
Bachelor’s degree or higher in Computer Science or related field
5+ years of experience
Proficiency in Go, with
Requirements
- ·Bachelor’s degree or higher in Computer Science or related field
- ·5+ years of experience
- ·Proficiency in Go, with
- ·Deep expertise with Kubernetes in production environments
- ·Advanced understanding of distributed systems concepts and performance tuning
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
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Baseten, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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