Computer Vision / Machine Learning Engineer

Computer Vision / Machine Learning Engineer

Remote, USA

Engineering /

Full-Time /

Remote

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About the Role

We're looking for an experienced Computer Vision/Machine Learning Engineer to join our team, where you will apply your expertise to solve real-world computer vision problems. You'll play a key role in building, deploying, and integrating ML solutions into large-scale software systems, working collaboratively with all teams to help define the technical roadmap for our products. This position is ideal for someone who wants to work on critical software that has a real-world impact.

Responsibilities

• Apply machine learning and computer vision techniques to add new analytical capabilities to our products, as well as enabling modern CV processing within our 3D reconstruction pipeline
• Design, build, train, and experiment with ML models using PyTorch
• Deploy ML models into production and integrate them into a large C++ codebase
• Write and oversee code quality, testing, development standards, and best practices, ensuring robust, clean, and maintainable codebases
• Work collaboratively with the Reveal team to define and execute the technical roadmap for current and future products
• Contribute to technical documentation, design reviews, and code reviews to ensure maintainability and knowledge sharing
• Stay up to date with the latest research and industry trends in CV, ML, and 3D data processing, applying relevant advancements where appropriate
• Debug, identify root causes, and implement and test fixes for problems
• Develop technical materials from conceptual ideas

Requirements

• 3-5 years of experience applying machine learning to solve real-world computer vision problems
• Must be eligible to obtain and maintain a U.S. Top Secret security clearance
• Deep understanding of computer vision fundamentals, including classical and ML-based approaches
• Experience building, training, and experimenting with models using PyTorch
• Experience deploying ML models to production environments
• Familiarity with the ONNX framework
• Experience with and willingness to work on software implementation and integration of ML solutions into large codebases
• Experience with C++ and Python development in Linux or other command-line-based environments
• Solid understanding of linear algebra
• Ability to quickly understand and navigate complex systems and established codebases
• Familiarity with representations of 3D data, such as point clouds, polygonal meshes, and depth maps, and algorithms for generating and processing them
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact

Nice to Haves

• Working knowledge of classical 3D Computer Vision concepts such as camera models, stereo vision, camera calibration, SfM, SLAM
• Familiarity with modern 3D CV advancements such as neural rendering techniques (NERFs, Gaussian Splatting), and related approaches for 3D reconstruction and scene representation
• Experience building software solutions involving significant amounts of data processing and analysis

Compensation

• Salary ($150,000 - $175,000) + Equity
• Salary is determined by the applicant's experience, knowledge, skills, abilities, internal equity, and alignment with market data.

Benefits

• Medical, Dental, Vision coverage
• HSA/FSA options
• Parental Leave
• 401(k): 200% match for the first 6% contributed
• Unlimited Paid Time Off
• Home Office Stipend

About Reveal Technology

Founded in 2019, Reveal is a dynamic startup revolutionizing field operations by providing software tools and insights to individuals in remote, disconnected, and extreme environments. Our products include Farsight, a 3D processing and mission planning tool, and Identifi, which enables secure and rapid identity verification. Reveal is deeply committed to supporting defense, security, and safety missions. Having recently closed a $30M Series B funding round, we're growing our team to meet expanding demands and opportunities.

This position will be open on or our website until it is successfully filled. To submit your application, please click the “Apply” button and follow the steps as directed.

Proof of identity and eligibility to work in the United States is required for all hires.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Note: This job posting is intended for direct applicants only. We do not accept any unsolicited applications and request no outside recruiters contact us regarding this role.

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