Job description

About Sandbar Sandbar is an interface company in New York City. We aim to expand human thinking. Our team has built software, ML, hardware, and consumer products across Meta, CTRL-labs, Apple, Peloton, and Equinox. Our first product is Stream, is private voice ring that extends your thinking. Stream has been featured in WSJ, Bloomberg, Wired, and Time's Best Inventions of the Year. 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

Requirements

Must-haves

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
6+ years in machine learning experience
Experience shipping ML-based products is required
Experience in large-language model evaluation and post-training is required
Comfortable writing production-grade software
Passion for human-computer interaction
Experience setting technical direction and driving execution with multidisciplinary teams
FTE Benefits
Early stage equity

Nice-to-haves

Experience in audio / voice ML is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlaimachine learning

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto