# Senior Machine Learning Engineer at Kinetic

- Company: Kinetic
- What the company does: About Kinetic Kinetic Automation is building a network of automated repair centers for modern vehicles. The auto industry is transitioning from mechanically complex vehicles to mechanically simple ones with complex software and technology. Backed by Menlo.
- Company website: https://www.kinetic.auto/
- Type: Startups (AI role)
- Level: Senior
- Location: Costa Mesa, CA
- Work setup: On-site
- Posted: 2026-05-11
- Apply by: 2026-10-08
- Apply: https://ats.rippling.com/kinetic/jobs/afab2e8b-6b01-4482-98d3-62d918ffcbdd
- Page: https://www.1752.vc/careers/jobs/kinetic-senior-machine-learning-engineer/

## About the role

You will be a part of a small, production-minded ML team based in Orange County/Oakland. You’ll collaborate with other engineers and researchers to develop, evaluate, and help deploy vision models for tasks like semantic/instance segmentation and object/damage detection across 2D and 3D data.

## What they're looking for

- Curiosity & Strict Attention to Detail: You are obsessed with corner cases. You have a sharp eye for data anomalies, run rigorous ablations, keep meticulous experiment logs, and can clearly communicate trade-offs
- Working knowledge of transformer and LLM building blocks applied to vision, including self-attention, positional encodings, tokenization, and mapping these ideas to vision models (e.g., ViT, DETR, Mask2Former)
- Practical exposure to 3D/depth data, including familiarity with point clouds, camera geometry (intrinsics/extrinsics), basic calibration, and multi-view geometry
- Proficiency in Python and the relevant tech stack: PyTorch, torchvision, Detectron2 or MMDetection/Segmentation, and Hugging Face Transformers
- Experience with Python services (FastAPI/Flask), Docker, and AWS services (S3, Batch/EC2, ECR) is preferred
- Strong communication skills with the ability to write tidy PRs, experiment logs, and short design notes to ensure reproducibility

Tags: Engineering