A profitable AI startup with many enterprise clients is hiring a Machine Learning Tooling Engineer to join their growing Bay Area team to design, train, and ship ML tools that directly support AI operations and data workflows.
Requirements
- 4+ years of software or ML engineering experience, ideally in applied ML or product-facing roles
- Strong Python skills with experience training/debugging models and building LLM-based applications
- Ability to design and ship end-to-end systems (backend APIs, lightweight frontends, and agentic platforms)
- Experience building automation, fraud detection, or quality assessment tools
- Familiarity with modern ML frameworks (PyTorch, HuggingFace, LangChain)
Responsibilities
- design, train, and ship ML tools that directly support AI operations and data workflows
- act as a full-stack ML product builder
- developing automation and workflow tools
- building lightweight LLM applications
- creating tools that streamline data quality checks and accelerate delivery to leading enterprise clients
- sit at the intersection of model development and real-world application
- design and ship end-to-end systems (backend APIs, lightweight frontends, and agentic platforms)
Other
- Product intuition and ability to bridge delivery ops with ML development needs
- Opportunity to shape a high-impact role
- Remote flexible for local candidates
