# ML Technical Lead, Agentic Interactions at Sandbar

> Onsite · United States · Staff · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Asandbar%3A3cccdc86-b105-4e88-b4f3-5a50bebcc28b (read 2026-11-11).

## Facts (observed)

- Company: [Sandbar](https://alderhq.app/companies/sandbar)
- Location text: New York City
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York City")
- Posted: 2026-10-17 (25 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/sandbar/3cccdc86-b105-4e88-b4f3-5a50bebcc28b
- Skills listed (inferred): Swift/iOS

## Pay and sponsorship

- Posted pay: $230k–$290k per year (from the listing's pay field)
- Market band for similar posted roles (New York, n 42): p25 $236k, median $273k, p75 $280k

## Description (the employer's text)

### 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

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Asandbar%3A3cccdc86-b105-4e88-b4f3-5a50bebcc28b and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.