Senior ML Engineer — Vision & 3D AI for Robotics

Kinetic Automation; Costa Mesa (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and equity package

Comprehensive health and dental insurance

Retirement savings plan

Paid time off and holidays

Job summary

Menlo Ventures is seeking a Machine Learning Engineer to join Kinetic Automation's production-minded team in Costa Mesa. The role involves implementing training loops, curating datasets, and driving high-priority experiments in vision models for vehicle repair automation. Candidates should have hands-on experience with deep learning, familiarity with PyTorch and AWS, and strong independent thinking abilities. Benefits include a competitive salary and comprehensive health insurance.

Qualifications

• Hands-on experience training and evaluating deep models for segmentation and detection (PyTorch).
• Understanding how Transformer/LLM building blocks map to vision.
• Practical exposure to 2D/3D data, point clouds, and camera geometry.
• Experience with dataset curation and quality checks.
• Strong independent thinking and debugging skills.

Responsibilities

• Implement training loops and curate datasets.
• Drive high-priority experiments and partner with cross-functional teams.
• Run experiments to track metrics and write clear experiment notes.
• Provide production support by exporting models and writing inference code.

Skills

Deep ML / CV Fundamentals

Curiosity & Strict Attention to Detail

AI‑Empowered, Not AI‑Dependent

Transformer and LLM building blocks applied to vision

Proficiency in Python

Experience with Python services (FastAPI/Flask)

Strong communication skills

Tools

PyTorch

Detectron2

Hugging Face Transformers

Docker

AWS services

Job description

Menlo Ventures is seeking a Machine Learning Engineer to join Kinetic Automation's production-minded team in Costa Mesa. The role involves implementing training loops, curating datasets, and driving high-priority experiments in vision models for vehicle repair automation. Candidates should have hands-on experience with deep learning, familiarity with PyTorch and AWS, and strong independent thinking abilities. Benefits include a competitive salary and comprehensive health insurance.