ML Technical Lead, Agentic Interactions
Required skills
- ML Technical Lead
- Agentic Interactions
- Stream
- large-language model evaluation
- post-training
- shipping ML-based products
- technical direction
- multidisciplinary teams
Nice to have
- audio ML
- voice ML
- human-computer interaction
Role summary
Sandbar, an interface company in New York City, is seeking an ML Technical Lead to design agentic interactions for their product, Stream. This hands-on role involves setting technical direction, building user-facing ML experiences, and leading a small team. The ideal candidate will have 6+ years of ML experience, a proven track record of shipping ML-based products, and expertise in LLM evaluation and post-training. Experience in audio/voice ML and a passion for HCI are a plus. The role requires comfort with production-grade software development and experience driving execution with multidisciplinary teams.
About Sandbar
Sandbar is an interface company in New York City. We aim to augment individuals so we can each think, act, and move more freely. Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.
Our first product, Stream, is a self extension—a private voice ring and conversational interface. Stream has been featured in WSJ, Bloomberg, & Wired, and begins shipping in Summer '26.
Join us in creating technology that extends human thinking.
About
We're looking for a tech lead to design self-aligned agentic experiences in Stream, and lead the tightly focused team building it. Stream is a self extension, where personalization, privacy, and individual control are paramount.
This is a hands-on lead role for a consumer product, not a platform or research role. You will set the technical direction, build the end-user experience, and be responsible for an that agent works in the hands of general customers. You will work directly with the founders and the backend, iOS, and ML engineers building Stream.
Responsibilities
Lead architecture, strategy, and tradeoffs for our ML-based products
Design and improve user-facing model-based experiences, including agentic control, conversational interactions, and information retrieval.
Develop infrastructure to rapidly develop, evaluate, and deploy models
Optimize inference pipelines for latency, reliability, and concurrency
Work closely with other ML/AI engineers, infrastructure engineers, designers, and cofounders on existing and future products
Qualifications
6+ years in machine learning experience
Experience shipping ML-based products is required
Experience in large-language model evaluation and post-training is required
Experience in audio / voice ML is a plus
Comfortable writing production-grade software
Passion for human-computer interaction
Experience setting technical direction and driving execution with multidisciplinary teams
FTE Benefits
Health, vision, and dental benefits
Company-sponsored 401(k)
Unlimited PTO and sick time
Early stage equity
