Machine Learning Engineer jobs in United States
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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
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H1B Sponsor Likelynote

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

Deep learningPyTorchComputer visionPython3D/depth dataDockerAWS servicesCommunication

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

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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 Stage
Total Funding
$31M
Key Investors
Menlo Ventures
2024-06-20Series B· $21M
2023-10-05Series A· $10M

Leadership Team

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Nikhil Naikal
CEO and co-founder
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Sander Marques
Co-Founder and CTO
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Company data provided by crunchbase