Lead ML Engineer
Sandbar
Location
New York City
Employment Type
Full time
Location Type
On-site
Department
Machine Learning
Compensation
- $170K – $240K • Offers Equity
About Sandbar
Sandbar is an interface company in New York City. We aim to bridge gaps, to better navigate the world around & inside each of us. Our north star is self extension.
Our team has built consumer products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.
Our first product, Stream, is a new way to capture thoughts—a private voice ring and conversational notepad.
Stream has been featured in WSJ, Bloomberg, Fast Company, and Wired, and begins shipping in Summer '26.
About
We’re looking for a senior machine learning engineer to help build Stream, a new conversational interface. As a senior machine learning engineer, you will develop a system which spans actions, memory, and voice, with a deep focus on the end-user experience and human-computer interaction.
Responsibilities
Lead architecture, strategy, and tradeoffs for our ML-based products
Design and improve user-facing model-based experiences, including real-time actions, dialogue, and, memory.
Develop infrastructure to rapidly develop, evaluate, and deploy models
Optimize inference pipelines for latency, reliability, and concurrency
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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
Unlimited PTO and sick time
Early stage equity
Compensation Range: $170K - $240K