Why This Role Stands Out
As an ML Technical Lead at Sandbar, you'll shape the future of agentic interactions for a groundbreaking consumer product, driving technical strategy and directly impacting user experiences. This hands-on role is perfect for a motivated individual eager to contribute to innovative technology within a highly reputable company and collaborate closely with founders and a talented engineering team.
Quick Overview
Job Description
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