AI/ML Engineer - Build Core Intelligence for a New Class of Enterprise AI Products (Santa Rosa)

Qualifications

• Collaborating across engineering, product, and research to rapidly experiment and iterate
• Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures)
• Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems
• Candidates coming from top CS programs or AI-first startups where theyve shipped real, user-facing ML/AI features
• People who enjoy working in ambiguous, zero-to-one environments and want significant ownership
• Curious thinkers who care about model performance, reliability, and how their work impacts real users
• Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale
• Youll partner closely with experienced founders and senior engineers who value autonomy and deep thinking
• Youll have room to experiment, influence architecture, and meaningfully impact technical direction
• A culture that balances speed with thoughtful engineering
• Mission-driven work with clear real-world utility

Benefits

• A high-ownership engineering role with scope to grow into senior or staff pathways
• Competitive compensation, strong equity, and flexibility in how you build

Responsibilities

• Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment
• Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights
• Transforming research concepts into scalable production systems used by enterprise customers
• Architecting efficient, privacy-conscious model-serving infrastructure
• Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter
• Your work will directly shape how customers interact with and benefit from AI

Full Description

Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale.

Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned.

They're growing quickly and looking for engineerswith strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings.

If youre energized by early-stage ownership and solving hard problems that matter, youll thrive here.

What Youll Work On

• Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment

• Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights

• Transforming research concepts into scalable production systems used by enterprise customers

• Architecting efficient, privacy-conscious model-serving infrastructure

• Collaborating across engineering, product, and research to rapidly experiment and iterate

• Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter

Who Thrives Here

• Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures)

• Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems

• Candidates coming from top CS programs or AI-first startups where theyve shipped real, user-facing ML/AI features

• People who enjoy working in ambiguous, zero-to-one environments and want significant ownership

• Curious thinkers who care about model performance, reliability, and how their work impacts real users

• Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale

Why This Role Is Compelling

• Youll build foundational AI systems at a moment where the company is scaling quickly

• Your work will directly shape how customers interact with and benefit from AI

• Youll partner closely with experienced founders and senior engineers who value autonomy and deep thinking

• Youll have room to experiment, influence architecture, and meaningfully impact technical direction

• Youll join early enough to feel the upside, but after core customer traction is already proven

What's On Offer

• A high-ownership engineering role with scope to grow into senior or staff pathways

• A culture that balances speed with thoughtful engineering

• Mission-driven work with clear real-world utility

• Competitive compensation, strong equity, and flexibility in how you build

If youre excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, wed love to talk.