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ML Technical Lead, Agentic Interactions

SandbarNew York City🇺🇸United States

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

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationNew York City, United States
iOSMachine Learning

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, a 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

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