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 an experienced infrastructure engineer to help build Stream, a new conversational interface. You will be responsible for developing a highly scalable real-time production service with various steps of ML and data processing. You’ll work closely with other mobile and firmware engineers to deliver the foundations for new human-computer interactions.
Responsibilities
Architect a high-uptime, low-maintenance, and reliable distributed inference system
Lead observability and oncall
Achieve very low latency & jitter with attention to P99 performance
Develop a safe rollout to production process in partnership with ML, SW, and mobile engineers
Implement data pipelines for user-facing features and internal tooling
Qualifications
Proficient in Python and Javascript
Experience in shipping consumer facing interactive real-time services
2+ years owning a live production system in a small team, for large N of users
2+ years working in a big infra teams (Google / Meta / etc)
Technical leadership for building a robust process with the team
Strong ownership on healthy live service
FTE Benefits
Health, vision, and dental benefits
Company-sponsored 401(k)
Unlimited PTO and sick time
Early stage equity
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Sandbar builds performant anti-money laundering (AML) software to more accurately identify illegal activity. Criminals launder an estimated $4 Trillion every year, yet less than 1% of this is caught. To provide better results, we ingest millions of messy data points, standardize that data, and run a complex suite of proprietary calculations designed to detect suspicious activity. Our product automatically monitors activity and empowers risk teams by putting necessary information at their fingertips. We provide information accessibility, build intuitive workflows, and allow for custom processing. Doing better can help cut off funding for kidnappers, human traffickers, terrorists, scammers, and other bad actors as well as reduce the effort and costs associated with developing and maintaining internal AML programs. We are a small but growing team that values creativity, collaboration, and innovation. We're backed by Lachy Groom, Abstract Ventures, BoxGroup, and over 40 other founders, early employees, and executives of Ramp, OpenAI, Stripe, Square, Plaid, and more.