Software Engineer - Training Product
Remote • San Francisco • FullTime
Posted 7mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Baseten is seeking a customer-obsessed software engineer to join their team and contribute to the development of mission-critical AI inference platforms. In this role, you will own features from conception to launch, working across the entire technology stack from API and UI down to the infrastructure layer. You will have the opportunity to fine-tune models, gain a deep understanding of user workflows, and collaborate closely with research engineers to build cutting-edge experiences that accelerate model development and address real-world pain points. If you are excited about diving deep into AI model training and building impactful products, this is the role for you.
Responsibilities
- Design ergonomic APIs and abstractions for complex resources and lifecycles.
- Implement features across the full stack, including API, backend, database, and infrastructure.
- Fine-tune and deploy models to understand training workflows.
- Collaborate with model developers and research engineers to address post-training workflow challenges.
- Drive long-term improvements in system reliability and development velocity.
- Resolve customer issues and fix bugs with urgency.
Requirements
- 5+ years of experience building software applications.
- Deep knowledge of web stack, databases, and distributed systems.
- Experience developing developer tooling or infrastructure products.
- Good product sense, especially for developer-oriented tools.
- Interest in ML/AI infrastructure and a willingness to learn.
- High agency and ownership.
- Strong communication skills to bridge technical depth and business needs.
Benefits
- Competitive compensation and meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents.
- Flexible PTO policy with company-wide Winter Break.
- Paid parental leave.
- Fertility and family-building stipend.
- Company-facilitated 401(k).
- Exposure to a variety of ML startups for learning and networking.