Founding ML Research Engineer
Key details
- Salary
- $180K–$230K/yr
- Location
- San Francisco, CA, United States
- Work style
- Onsite
- Level
- Mid level
- Job type
- Full-time
- Experience
- 2–6 yrs
- Function
- Software engineering
- Focus area
- AI / ML
- Visa sponsorship
- Available
- Posted
- 3h ago
Skills
About the role
About the Role
Join an early-stage industrial AI team building wearable AI copilots for field technicians in critical infrastructure. You will own key parts of the multimodal stack, from production vision-language systems and evaluation 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 visual reasoning and tool use across real industrial workflows.
Develop evaluation systems, capture failure cases, and create data and fine-tuning workflows that improve model quality over time.
Adapt model orchestration and edge inference to changing connectivity, latency, and hardware constraints.
Create real-time voice and video interfaces, including conversational and proactive alert experiences.
Fine-tune and optimize open-weight multimodal models for enterprise and on-premise deployments.
What We're Looking For
Two to six years of experience shipping production vision-language or multimodal AI systems, using Python and PyTorch.
Experience owning model and orchestration layers, delivering end-user products, and taking responsibility for product outcomes.
Hands-on work with multi-step agents and tool use, evaluation design, data flywheels, and fine-tuning methods such as SFT or RLHF.
Strong applied computer vision and vision-language experience, with production deployment beyond research or pretraining alone.
Startup, founding-engineer, or similarly high-ownership experience, plus a track record of driving greenfield work independently.
A relevant bachelor's or master's degree, or equivalent engineering experience; experience with wearables, AR, autonomous systems, edge inference, or on-premise serving is valuable.
Familiarity with tools such as vLLM, Triton, Ray Serve, ONNX, TensorRT, Hugging Face Transformers, and model quantization.
Compensation & Benefits
Base salary is $180,000 to $230,000 annually. Visa sponsorship is available. Equity details were not provided.
Location
On-site, five days per week in San Francisco, California, United States.
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