# Founding ML Research Engineer at True Talent Solutions Partners

> Onsite · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Atrue-talent-solutions-partners%3A42e24f94-d583-4bf4-9dab-d8dfd11704a2 (read 2026-11-12).

## Facts (observed)

- Company: [True Talent Solutions Partners](https://alderhq.app/companies/true-talent-solutions-partners)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2026-11-12 (0 days ago)
- First seen by alder: 2026-11-12 · last verified: 2026-11-12
- Reposted: 2 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/true-talent-solutions-partners/42e24f94-d583-4bf4-9dab-d8dfd11704a2
- Skills listed (inferred): Python, PyTorch

## Pay and sponsorship

- Posted pay: $180k–$230k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 560): p25 $200k, median $245k, p75 $300k

## Description (the employer's text)

### About the Role

Join an early-stage industrial AI team building wearable AI copilots for field technicians working in critical infrastructure. You will own core parts of the multimodal AI stack, from production vision-language pipelines to edge inference and real-time voice and video experiences.

### What You'll Do

Build and ship agentic vision-language pipelines for smart glasses, including multi-step visual reasoning and tool use in industrial workflows.

Develop evaluation frameworks, capture failure cases, and create customer-data fine-tuning loops to improve model quality over time.

Adapt field connectivity and edge inference through model orchestration, runtime optimization, and graceful fallbacks for varying latency and network conditions.

Create real-time voice and video interfaces, including conversational and proactive alert experiences tailored to end users.

Fine-tune and optimize multimodal models for enterprise and on-premise deployment.

### What We're Looking For

Two to six years of experience shipping production vision-language or multimodal AI systems, with Python and PyTorch.

Experience owning model and orchestration layers end to end, and delivering AI products with measurable user outcomes.

Hands-on experience with multi-step agents that use tools, evaluation design, data feedback loops, and applied model fine-tuning such as SFT or RLHF.

Strong applied computer vision and vision-language model experience, rather than pretraining research alone.

Startup, founding-engineer, greenfield product, or similarly high-ownership experience, plus a CS, ML, or engineering degree.

Experience with edge or on-prem deployment is valuable, including vLLM, Triton, TensorRT, quantization, or constrained hardware; wearable, AR, or autonomous-driving experience is also relevant.

Genuine interest in computer vision, wearables, and industrial AI.

### Compensation & Benefits

Base salary is $180,000 to $230,000 USD annually. Visa sponsorship is available.

### Location

On-site, five days per week in San Francisco, California, United States.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Atrue-talent-solutions-partners%3A42e24f94-d583-4bf4-9dab-d8dfd11704a2 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.