ML Technical Lead, Agentic Interactions
At a glance
Senior Engineering Leadership role at Sandbar. New York · full-time · $230,000–$290,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Set the technical approach and make tradeoffs for machine-learning products, while leading a focused team
- Shape customer-facing model experiences across agent control, conversation and information retrieval
- Build the systems used to develop, assess and release models quickly
- Improve model-serving pipelines for speed, dependability and concurrent use
- Work with ML, infrastructure and iOS engineers, designers and founders on current and upcoming products
What you bring
- At least six years working in machine learning
- A track record of releasing ML-powered products to users
- Hands-on experience assessing and post-training large language models
- You can write production-ready software and steer technical decisions with multidisciplinary teams
Who this fits
This is a hands-on senior technical lead role focused on a consumer product, rather than platform or research work. You’ll guide a small team and work directly with the founders and engineering colleagues. The role is onsite in New York City.
From the employer
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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Engineering Leadership$230k+
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