About the role
We build AI that ships — not demos that fall over in front of customers. As a Senior AI / ML Engineer you'll own intelligent features end to end, from problem framing and data work through training, evaluation and production rollout.
You'll work directly with founders and product teams on a mix of LLM applications, retrieval pipelines, computer vision and classic ML — picking the right tool for each problem rather than chasing hype.
What you'll do
- Design and build LLM-powered apps, RAG pipelines and AI agents that run reliably in production.
- Train, fine-tune and evaluate models, and define the metrics that prove they actually work.
- Own MLOps: deployment, monitoring, evaluation harnesses and cost/latency optimization.
- Partner with product and design to turn fuzzy ideas into shippable, measurable features.
- Mentor other engineers and raise the bar on ML craft across the studio.
What we're looking for
- 5+ years building software, with 3+ years focused on ML/AI in production.
- Strong Python and hands-on experience with PyTorch or TensorFlow.
- Practical experience with LLMs — prompting, RAG, fine-tuning and evaluation.
- Solid grasp of data pipelines, vector stores and model serving.
- Clear communicator who can explain trade-offs to non-technical stakeholders.
Nice to have
- Experience with computer vision or NLP at scale.
- Familiarity with the Anthropic / OpenAI APIs and agent frameworks.
- Published research, open-source contributions or strong side projects.
What we offer
Fully remote-friendly work, top-tier pay with equity, full health coverage, unlimited PTO (4-week minimum), a home-office budget, 10% learning time, and twice-yearly team retreats. See the full list on the careers page.
Ready to brew the future?
Apply for the Senior AI / ML Engineer role, or reach out if you have questions — we'd love to meet you.