Senior Applied Research Engineer, 3D Computer Vision

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, train, assess, and deploy 3D reconstruction systems throughout our pipeline — including gaussian splats, foundational 3D models, SfM, MVS, monocular depth, and mesh reconstruction.

• Lead the integration of contemporary reality capture techniques (splatting, foundational models) into our production stack — making decisions on what is ready for release and what requires further development.

• Take ownership of the most challenging technical inquiries in your domain, from initial assessment through production deployment and ongoing support.

• Enhance 3D systems for speed, precision, and efficiency at a production scale.

• Employ the most suitable tool for each challenge — utilizing classical 3D computer vision when effective, and learned methodologies when advantageous.

• Remain updated with advancements in 3D vision research and assess promising techniques against our workflows.

• Maintain a high technical standard for your own contributions — delivering high-quality designs, thoroughly tested code, and production-ready shipping practices.

• Contribute to the team through code reviews, collaborative programming, and design feedback.

• Document debugging and investigation strategies into reusable resources.

• Utilize AI tools on a daily basis throughout the SDLC, exercising discretion on their effectiveness.

• Create agent skills or tools that are utilized by other engineers; contribute to the collective skills library of the team.

• Perform thorough evaluations of new AI tools and share beneficial patterns with the team.

• Review code generated by agents with the same thoroughness as code written by humans.

• Monitor the AI tooling landscape and share useful patterns with the team.

⛳️ Requirements

• Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field, along with 5+ years of professional experience in 3D Computer Vision or 3D Machine Learning, or a PhD in Computer Vision, Machine Learning, or a closely related field.

• Practical experience with modern reality capture — particularly gaussian splatting and/or foundational 3D reconstruction models (MASt3R, VGGT, or similar). At least one of these should be from direct hands-on experience (production, startup, or other industry context), rather than theoretical knowledge.

• Proven history of developing and deploying 3D reconstruction systems — in production, at a startup, or in another applied industry context (not limited to research or prototype work).

• Extensive experience with the broader 3D perception toolkit — familiarity with at least three of the following: feature detection and matching, SfM, MVS, monocular depth estimation, mesh reconstruction, SLAM. Published research or open-source contributions in any of these areas is advantageous.

• Comfortable navigating the classical versus learned spectrum — you choose the appropriate tool rather than the trendiest one.

• A genuine record of engaging in agentic development.

• Strong proficiency in C++ — as much of our photogrammetry pipeline operates in C++, you will be working in it daily.

• Excellent ability to timebox experiments, iterate effectively, and identify successful pathways when challenges arise.

• Proficient in modern ML frameworks (PyTorch, TensorFlow, or similar) and contemporary training stacks.

• Capability to work efficiently as a remote engineer, with overlap in AM standups and PST time zones.

• Strong written and verbal communication skills; you can translate technically complex investigations to PMs, leadership, and fellow engineers.

• Open-source agent skills, plugins, or prompts that are utilized by others.

• Experience in running and monitoring multiple concurrent ML experiments in cloud environments.

• Familiarity with cloud training and inference (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

• Background in geospatial systems or aerial imagery pipelines.

🏝️ Benefits

• Culture of Innovation & Collaboration – Thrive in an environment that values creativity and teamwork.

• Drone Certification – Get certified and gain unique, hands-on skills with our full backing.

• Flexible Work Arrangements – Enjoy autonomy with remote-first options and schedule flexibility.

• Paid Family Leave – Take the time you need to support your family during life’s most important moments.

• Comprehensive Healthcare Coverage – Plans designed to support your well-being.

• Career & Growth Development – Build new skills and unlock opportunities through continuous learning.

• Flexible PTO – Take time off when you need it to recharge—we trust you to manage your time well.

• Employee Referral Bonus – Know someone great? Refer them and earn a bonus when they join our team.