Lead Software Engineer

Work Environment

• This is a fully remote position within the U.S., offering you the flexibility to design your workday to maximize productivity and balance. We provide you with the autonomy to work in a way that suits you best as long as you’re able to collaborate effectively with our team, particularly during Pacific Time zone business hours.
• While our team is distributed across the country, we believe in the power of face-to-face connections. You’ll have the opportunity to meet with colleagues in person at least once a year, fostering deeper collaboration and camaraderie. These occasional in-person meetings will be scheduled with plenty of advance notice, and we’ll cover all travel expenses, making sure you’re comfortable and prepared.
• In addition to a competitive salary, we offer comprehensive health benefits, flexible time away from work, and support for ongoing professional development. We prioritize your well-being and personal growth as much as your professional success.

Responsibilities

• Train, improve, evaluate, integrate and deploy machine learning models for a variety of computer vision use cases such as: feature detection/matching, place recognition, structure from motion, depth estimation and completion, mesh reconstruction, point cloud filtering, NeRFs, gaussian splats.
• Optimize the performance of ML systems for speed, accuracy, and efficiency.
• Take ownership of deliverables from design, implementation, release, and support as a self-driven engineer.  Be willing to pick up whatever knowledge you’re missing to get the job done.
• Stay up-to-date with the latest 3D ML and vision advancements and evaluate their potential application to our workflows.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with 5+ years of professional experience in 3D Machine Learning and Computer Vision
• Experience designing, building, integrating, deploying, debugging and maintaining large-scale production 3D computer vision systems.
• Ability to timebox experiments, iterate effectively and leverage excellent problem-solving skills to triage routes to success.
• Experience training and improving models for feature detection/matching, depth estimation or mesh reconstruction
• Experience with modern ML in Pytorch, Keras, TensorFlow or equivalent
• Experience building and improving models like Mask2former, MaskRCNN, Resnet, Unet
• Experience with CI/CD tools (e.g., Jenkins, GitHub CI)
• Experience as effective remote employee able to overlap standup AM meetings PST
• Strong communication and leadership skills.

Preferred Qualifications & Expertise

• Proficiency in developing and debugging C++
• Experience running and monitoring multiple ML experiments in cloud environments concurrently. 
• High degree of comfort with training and inference on cloud instances cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).