Founding ML Researcher
true-talent-solutions-partners
- $180,000–$230,000 per year
- Onsite
- Full Time
About the role
About the Role
Join an early-stage industrial AI startup building wearable AI assistants for field technicians in critical infrastructure. You will help develop and ship the multimodal AI systems that power real-time assistance on smart glasses.
What You'll Do
Build production agentic vision-language pipelines that use visual reasoning and tools to support industrial workflows.
Develop evaluation frameworks, capture model failures, and use field data to improve model quality over successive releases.
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 open-weight multimodal models for enterprise deployments, including supervised fine-tuning, preference optimization, and quantization.
What We're Looking For
0 to 3 years of experience shipping production vision-language or multimodal AI systems, with Python and PyTorch.
Experience owning model and orchestration layers end to end, building multi-step tool-using agents, and delivering product outcomes for end users.
Applied computer vision expertise, including visual reasoning and, where relevant, detection or segmentation; experience with fine-tuning and evaluation rather than only pretraining from scratch.
Familiarity with model serving and deployment tools such as vLLM, Triton, Ray Serve, ONNX, TensorRT, Hugging Face Transformers, and quantization methods.
Startup or high-ownership engineering experience, with a strong foundation in computer science, machine learning, or engineering, or equivalent production experience.
Interest or experience in wearables, AR, industrial AI, autonomous systems, or edge and on-premise deployment is valuable.
Must be authorized to work without new employer visa sponsorship.
Compensation & Benefits
Base salary is $180,000 to $230,000 annually. Visa sponsorship is not available.
Location
On-site in San Francisco, United States.