ML Tech Lead, Agentic Interactions @ Sandbar
Blazetalent · blazetalent.com
New YorkOn-siteLead / Manager6+ yrs
Subscribers got this job on 20 October 2026.
New jobs reach them at 8 am and 6 pm, 5 days before they open here. Get the next one first
The job in short
Machine learning agent systems leadership.
iOSMachine learningAgentic
Details
- Found
- 5 d ago · posted 2026-10-19
- Location as listed
- New York, United States
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
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 the Role
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
Compensation
The base pay range for this role is $230,000 – $290,000 per year.
Machine Learning / AI Engineer jobs in New York, New York · Machine Learning / AI Engineer jobs in the United States · All Blazetalent jobs