Kinetic · 1 month ago
Machine Learning Engineer
Kinetic is a venture-backed startup focused on building a network of automated repair centers for modern vehicles. The role involves collaborating with engineers and researchers to develop and deploy vision models for tasks such as semantic segmentation and object detection.
ArtHardwareRobotic Process Automation (RPA)RoboticsSoftware
Responsibilities
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
Qualification
Required
BS or MS in CS, EE, Math, or a related field with solid deep-learning coursework or projects (e.g., grad-level ML/CV/DL or equivalent independent work)
Hands-on experience training and evaluating deep models for segmentation and detection in PyTorch (or similar), including data prep, augmentations, losses, and metrics (IoU/AP)
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
Strong communication skills with the ability to write tidy PRs, experiment logs, and short design notes to ensure reproducibility
Preferred
Experience with Python services (FastAPI/Flask), Docker, and AWS services (S3, Batch/EC2, ECR)
Benefits
Competitive salary and equity package
Comprehensive health and dental insurance
Retirement savings plan.
Paid time off and holidays
Company
Kinetic
Kinetic is ushering in the next generation of mobility (EVs, AVs) with a network of highly automated service centers.
H1B Sponsorship
Kinetic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2023 (6)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$31MKey Investors
Menlo Ventures
2024-06-20Series B· $21M
2023-10-05Series A· $10M
Recent News
automotiveventures.com
2025-02-11
Company data provided by crunchbase