Senior Machine Learning Engineer – Computer Vision

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Design, train, and deploy models for damage detection and segmentation, overseeing the process from dataset curation to deployment.

• Contribute to the technical strategy regarding model architecture, including Convolutional Neural Networks (CNNs) and transformers.

• Utilize Large Language Models (LLMs), Vision Language Models (VLMs), and agentic workflows to enhance dataset mining and collection.

• Collaborate with our annotation teams to develop the datasets necessary for these models to function effectively.

• Implement models in production environments on both server and mobile platforms in cooperation with other teams.

• Assist in establishing high technical standards for the team's coding practices, experimental methods, and reproducibility.

• Occasional travel for meetings, conferences, or visits to production facilities may be necessary.

⛳️ Requirements

• One of the following qualifications: Bachelor’s degree with 4+ years of relevant industry experience, Master’s degree with 2+ years, PhD with 1+ year, or 16 years of industry experience without a degree.

• Degrees should be in Computer Science, Engineering, Mathematics, or a related discipline.

• At least 2 years of experience in machine learning, specifically with a focus on Computer Vision.

• Demonstrated experience in developing machine learning models for detection, segmentation, and/or classification.

• Strong technical communication skills.

• Proficiency across the complete stack of a machine learning system, encompassing data, training, and evaluation.

• Extensive hands-on experience with OpenCV and NumPy for image processing and data preparation using classical computer vision algorithms.

• C++ experience for performance-critical applications (preferred).

• Experience with mobile deployment for Android and/or iOS (preferred).

• Background in multi-view geometry, Structure-from-Motion, or 3D reconstruction (preferred).

• Familiarity with machine vision cameras and hardware (preferred).

🏝️ Benefits

• Comprehensive health insurance (medical, dental, vision).

• Retirement planning options (401(k)).

• Paid time off benefits (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).

• Flexibility to take paid vacation in line with responsibilities.

• Seven paid holidays throughout the year.

• Up to 160 hours of paid wellness time annually for personal or family wellness needs.

• Additional paid time off options (bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave).