Founding ML Research Engineer

True Talent Solutions Partners; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Visa sponsorship available

Job summary

True Talent Solutions Partners is seeking a founding engineer in San Francisco to build an industrial AI multimodal system for wearable field assistants. You will own the production vision-language stack, from orchestration to on-device deployment.

You will ship AI products with ownership of outcomes, working in a fast-paced startup setting. Strong Python/PyTorch skills and experience with vLLM, ONNX, TensorRT, Docker, and Hugging Face Transformers are expected.

Qualifications

• Two to six years of experience shipping production vision-language or multimodal AI systems.
• Strong Python and PyTorch skills, plus experience with tools such as vLLM, Triton, Ray Serve, ONNX, TensorRT, Hugging Face Transformers, Docker, and quantization methods.
• Applied experience with supervised fine-tuning, RLHF, evaluation design, model serving, and deployment; pretraining from scratch is not the focus.
• Experience building multi-step agents with real tool use, evaluation harnesses, and data improvement loops.
• A record of shipping AI products for end users and taking ownership of product outcomes and technical decisions.
• Background in computer science, machine learning, or engineering, with strong fundamentals; startup or other fast-paced product experience is valuable.
• Interest or experience in computer vision, wearables, industrial AI, edge inference, or on-premise model deployment.

Responsibilities

• Build production vision-language pipelines that support multi-step visual reasoning and tool use in industrial workflows.
• Develop evaluation frameworks, capture model failures, and create data and fine-tuning loops to improve model quality.
• Adapt model orchestration and edge inference to variable connectivity, latency, and deployment constraints.
• Create real-time voice and video interfaces, including conversational and proactive assistance features.
• Fine-tune and optimize open-source multimodal models for enterprise and on-premises deployments.

Skills

Vision-language systems

Multimodal AI

Python

PyTorch

vLLM

Triton

Ray Serve

ONNX

TensorRT

Docker

Quantization

Education

CS/Engineering background

Tools

Docker

ONNX

TensorRT

Hugging Face Transformers

Ray Serve

Triton

Job description

About the Role

Join an early-stage industrial AI startup as a founding engineer building the multimodal AI system for wearable assistants used in field operations. You will own key parts of the production vision-language stack, from model orchestration and evaluation to deployment on real-world hardware.

What You'll Do

• Build production agentic vision-language pipelines that support multi-step visual reasoning and tool use in industrial workflows.
• Develop evaluation frameworks, capture model failures, and create data and fine-tuning loops to improve model quality.
• Adapt model orchestration and edge inference to variable connectivity, latency, and deployment constraints.
• Create real-time voice and video interfaces, including conversational and proactive assistance features.
• Fine-tune and optimize open-source 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, with ownership of model and orchestration components.
• Strong Python and PyTorch skills, plus experience with tools such as vLLM, Triton, Ray Serve, ONNX, TensorRT, Hugging Face Transformers, Docker, and quantization methods.
• Applied experience with supervised fine-tuning, RLHF, evaluation design, model serving, and deployment; pretraining from scratch is not the focus.
• Experience building multi-step agents with real tool use, evaluation harnesses, and data improvement loops.
• A record of shipping AI products for end users and taking ownership of product outcomes and technical decisions.
• Background in computer science, machine learning, or engineering, with strong fundamentals; startup or other fast-paced product experience is valuable.
• Interest or experience in computer vision, wearables, industrial AI, edge inference, or on-premise model deployment.

Compensation \& Benefits

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

Location

On-site in San Francisco, United States.