Senior Machine Learning Engineer, Kinetic

Salary not provided

+ Equity

AWS

Docker

Python

Flask

PyTorch

FastAPI

ChatGPT

Senior and Expert level

Los Angeles

Office located in Costa Mesa, CA

Tech-enabled vehicle repair

Open for applications

Tech-enabled vehicle repair

21-100 employees

B2CB2BArtificial IntelligenceElectric VehiclesMachine LearningSaaSAutomation

Open for applications

Salary not provided

+ Equity

AWS

Docker

Python

Flask

PyTorch

FastAPI

ChatGPT

Senior and Expert level

Los Angeles

Office located in Costa Mesa, CA

21-100 employees

B2CB2BArtificial IntelligenceElectric VehiclesMachine LearningSaaSAutomation

Company mission

To be the primary infrastructure-as-a-service for servicing future vehicles with robotic repair centers, powered by proprietary software and AI.

Job

Company

Role

Who you are

Deep ML / CV Fundamentals: You need hands-on experience training and evaluating deep models for segmentation and detection (PyTorch). You must understand how Transformer/LLM building blocks map to vision (ViT/DETR/Mask2Former) and have practical exposure to 2D/3D data, point clouds, and camera geometry
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
AI-Empowered, Not AI-Dependent: We strongly encourage leveraging AI tools (Copilot, ChatGPT, Claude) to maximize your efficiency. However, you must 100% understand the underlying details of the code you ship. We are looking for strong independent thinkers and debuggers, not someone who simply passes along AI outputs without deep comprehension
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

What the job involves

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
The Work: Implement training loops, curate datasets, drive high-priority experiments, and partner with cross-functional teams to close feedback loops from edge cases
The Stack: PyTorch, Detectron2 / MMDetection / Segmentation, Hugging Face Transformers, Python (FastAPI), Docker, AWS
Collaborate on model development by implementing training loops, losses, augmentations, and evaluations using PyTorch
Keep current with the industry by summarizing relevant papers and PRs, and proposing small, testable improvements
Contribute to datasets by helping define labeling guidelines, curating splits, running quality checks, and maintaining data versioning
Run experiments to track metrics, perform ablations, write clear experiment notes, and present findings
Provide production support by exporting models, writing basic inference code, adding tests, and assisting with performance profiling
Work cross-functionally, partnering with backend engineers on APIs, containers, and CI, and with ops/labeling teams on edge cases and feedback loops

Our take

As electric and autonomous vehicles become more prevalent, Kinetic is looking to support this mobility transformation with tech-enabled vehicle repairs.

The company operates a network of service centers that deliver digital maintenance and servicing for EVs and AVs. The centers are manned by certified technicians and powered by Kinetic's own AI, computer vision and robotics technology.

As cars become more software-reliant, vehicle repair needs a change - and Kinetic's solution certainly has the potential to shake things up. The company has raised substantial funds that will allow it to expand to meet the growing demand for EV and AV digital maintenance and servicing and support its newly launched San Francisco location.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Jun 2024

$21m

SERIES B

Oct 2023

$10m

SERIES A

Total funding: $31m

Company HQ

Tustin Legacy, Tustin, CA

Leadership

Nikhil Naikal

(Co-Founder & CEO)

Former VP of Software Engineering at Velodyne Lidar, CEO at Mapper.AI and Computer Vision Engineer at Flyby Media. Was also a Graduate Researcher at UC Berkeley.

Sander Marques

(Co-Founder & CTO)

Previously Principal Engineer at Velodyne Lidar, System Engineer at mapper, Powertrain Controls Engineer at Obsidian Motorsport Group and Lead Calibration Engineer at Custom Performance Engineering.

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