# Research Engineer - Voice Intelligence at Open Vision Engineering

> Onsite · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Apocket%3A2a0ac675-8091-47dd-9ffc-bb5234ee5926 (read 2026-11-05).

## Facts (observed)

- Company: [Open Vision Engineering](https://alderhq.app/companies/open-vision-engineering)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2026-10-20 (15 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/pocket/2a0ac675-8091-47dd-9ffc-bb5234ee5926
- Skills listed (inferred): LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 397): p25 $200k, median $245k, p75 $300k

## Description (the employer's text)

### About the role

Pocket is building a category-defining platform for ambient intelligence. Voice is the highest-signal interface we have — and we’re looking for a research-minded engineer to push what’s possible with voice end-to-end: capture → understanding → real-time experiences → evaluation.

### What you'll own

Invent and ship improvements to our voice stack: diarization, VAD, noise robustness, transcription quality, speaker ID, and post-processing.

Build new voice-powered product capabilities: better memory, better meeting/voice summaries, better action extraction, better personalization.

Run tight research loops: define metrics, build eval sets, iterate on models/algorithms, and productionize what works.

Improve real-time performance and reliability: streaming pipelines, latency budgets, fallbacks, and graceful degradation.

Partner closely with product + design to translate voice capabilities into features people feel immediately.

### What success looks like

Step-function improvements in voice quality and perceived intelligence (measured and felt).

A clear evaluation harness (offline + online) that prevents regressions and accelerates iteration.

Voice features that ship reliably at scale with predictable latency.

### What we're looking for

Have 6–10+ years of experience shipping production systems with strong technical ownership.

Are strong in applied ML/research engineering and can turn prototypes into robust product.

Understand audio/voice fundamentals (signal processing basics helpful) and modern model/eval workflows.

Care deeply about performance and reliability.

### Nice-to-haves

Experience with streaming audio pipelines and real-time systems.

Experience with LLM post-processing, structured extraction, and evaluation.

Experience building tooling for labeling, dataset curation, and QA.

### What we offer

Work directly with us and learn fast

Direct impact on how the company operates day to day

High-trust, high-responsibility environment

Competitive compensation

### About Pocket

Pocket is a Y Combinator W26 company building a premium hardware plus software product in the AI voice recorder space. We are obsessed with quality and speed. We are scaling very fast in the US and now European markets and building a device experience that can become the category leader.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Apocket%3A2a0ac675-8091-47dd-9ffc-bb5234ee5926 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.