Software Engineer, Platform, Tinker
Technologies
Python · Rust · RBAC · ABAC · OAuth · SAML · SSO · SCIM · Metronome · event-driven architectures · stream processing
About Thinking Machines Lab
Builds frontier multimodal AI systems and Tinker, a managed training API that lets researchers fine-tune open models without running distributed GPU infrastructure.
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Job description
The full responsibilities and requirements are on the employer’s site.
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Internal deployment & tooling · Evidence for this classification:
Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About Tinker Tinker is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs — opening access to capabilities that have previously been concentrated in a handful of labs. We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs. Tinker is
More from the job description
Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About Tinker Tinker is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs — opening access to capabilities that have previously been concentrated in a handful of labs. We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs. Tinker is rapidly adding new customers, features, and novel use-cases. We’re hiring to grow the platform alongside the Tinker community. About the Role We're looking for a software engineer to own the platform systems that enable Tinker — billing and usage metering, permissions and access control, organizations and teams, data exports, audit logging, and the admin surfaces that tie them together. This role partners with everyone from product to legal, as every new feature, pricing change, and enterprise deal [... source excerpt omitted ...] and teams model: seat management, SSO/SAML, workspace isolation, and invite flows. Implement data export and deletion pipelines that meet enterprise compliance and data residency requirements. Build audit logging so customers and internal teams have clear visibility into who did what, when. Skills and Qualifications Minimum qualifications: Bachelor’s degree or equivalent experience in computer science, engineering, or similar. Proficiency in at least one backend language (we use Python or Rust). Experience with at least one of: billing/payments infrastructure, identity and access control (RBAC/ABAC, OAuth, SAML), or multi-tenant platform systems. Thrive in a highly collaborat [... source excerpt omitted ...] s. A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships. Preferred qualifications — we encourage you to apply if you meet some but not all of these: 4+ years building backend systems in production. Experience building billing or metering systems at scale (Metronome pipelines, usage-based pricing, invoicing pipelines). Familiarity with enterprise-readiness patterns: SSO/SCIM provisioning, audit trails, data residency, custom contracts, role hierarchies. Strong opinions on building correct financial systems — idempotency, exactly-once semantics, reconciliation. Experience
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