Machine Learning Engineer

What you'll do

• Build production image- and video-reasoning pipelines with multiple steps and tool calls; create evaluation and customer-feedback loops.
• Optimize edge inference and runtimes, including model fallback for connectivity and latency constraints.
• Train and fine-tune open-source models for on-premise deployment and develop interactive audio and visual interfaces.

What they ask for

• Production experience delivering vision-language or other multimodal systems for real users, including models and orchestration.
• Experience in an early-stage startup or another high-intensity engineering environment, with visible builder experience.
• Bachelor's or Master's degree in computer science, machine learning, or engineering, or equivalent proof through shipped production AI systems.
• Hands-on experience with fine-tuning, evaluation design, model orchestration, multi-step agent workflows using real tools, and deploying open-weight models on constrained or on-premise hardware, including quantization; able to work on-site five days a week.

Nice to have

• Production experience with AR, wearable AI, or autonomous-driving computer vision.
• Master's work involving vision or multimodal research; proficiency in Python and PyTorch.

Pay

USD 180,000 to 230,000 per year (base salary)

Tools

Python, PyTorch

AI focus

Production multimodal AI for a hardware product, including image and video reasoning, agent workflows, fine-tuning, evaluation, and optimized edge deployment.