ML Technical Lead, Agentic Interactions
New York City, NYFull-time$230–290K/yrPosted 2w agoStill listed 4 days ago
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At a glance
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Job overview
Sandbar is seeking a hands-on technical lead to set direction and build self-aligned agentic experiences for Stream, its private voice ring. The role focuses on consumer-facing ML products, including personalization, privacy, and individual control, and works directly with the founders and backend, iOS, and ML engineers. The lead will guide a focused team and ensure the agent works for general customers.
Skills & qualifications
Skills
Qualifications
Benefits
Full 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
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Lead architecture, strategy, and tradeoffs for our ML-based products
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Design and improve user-facing model-based experiences, including agentic control, conversational interactions, and information retrieval.
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Develop infrastructure to rapidly develop, evaluate, and deploy models
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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
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6+ years in machine learning experience
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Experience shipping ML-based products is required
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Experience in large-language model evaluation and post-training is required
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Experience in audio / voice ML is a plus
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Comfortable writing production-grade software
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Passion for human-computer interaction
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Experience setting technical direction and driving execution with multidisciplinary teams
FTE Benefits
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Health, vision, and dental benefits
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Company-sponsored 401(k)
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Unlimited PTO and sick time
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Early stage equity
How this job compares
Set against the 2,172 open Machine Learning jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$230–290K/yr
- New York median$171–249K/yr161 salary ranges
- US median$154–253K/yr1,570 salary ranges
This range's midpoint, $260K, is 22% above the New York median midpoint ($213K) — in the top quarter of Machine Learning salary ranges in New York.
- Openings
- Olive Jobs lists 204 open Machine Learning jobs in New York and 2,172 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- Capital One21 open
- Amazon12 open
- JPMorgan Chase12 open
- Experience
- This posting asks for at least 6 years of experience; Machine Learning postings that state a minimum ask for 5 years at the median (1,630 postings).
- Education
- 788 of the 2,172 open Machine Learning jobs (36%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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