AI​/ML Engineer

Overview

We’re partnered with a well-funded Series A vendor building an AI-powered data analytics platform used by OpenAI, Meta & Google to make critical financial decisions.

This is a production-first ML engineering role
. The research foundation already exists - your job is to get models reliably into production
, operating at scale, with real customers depending on them every day.

If you care more about how models behave in the real world than publishing papers or building one-off demos, this role is the one for you!

• Taking ML and LLM systems from prototype to production and owning them end to end
• Deploying and operating models in AWS / GCP / Azure environments
  , including hybrid and on-prem setups
• Working with modern LLMs (e.g. ChatGPT, Claude, Gemini) as part of larger ML systems
  - not prompt-only work
• Building and maintaining production ML pipelines
  , monitoring performance, reliability, and drift
• Partnering closely with product and engineering to ship features used by high-value enterprise customers
• Operating in a fast-moving environment where models, tools, and assumptions evolve constantly

• Strong ML fundamentals and a deep understanding of model behavior, limitations, and trade-offs
• Proven experience deploying ML models into production (this is essential)
• Comfort working with real-world data systems and analytics workflows
• Experience with Python and modern ML frameworks (PyTorch, JAX, etc.)
• Cloud experience (AWS and/or GCP strongly preferred; Azure exposure a plus)
• Backgrounds from both startups or larger tech companies are welcome
• Advanced degrees and publications are valued but not required - impact matters
• Small, senior team with high ownership
• This role starts as a pure IC role with room to grow as the team scales
• You’ll work directly with experienced ML leadership and influence core technical decisions
• In-person collaboration is valued (2-3 days/week onsite in Palo Alto)

• Real ML problems with real production constraints
• No “innovation theater” - what you build gets used
• Well-capitalized with strong runway and growing enterprise customers
• Competitive compensation and meaningful equity

If you’re an ML engineer who enjoys shipping, owning, and improving production systems
, this is a rare opportunity to do impactful work early in a company’s growth.