We are looking for a Staff Algorithm Engineer to join our core Algorithm team - a high-autonomy group responsible for the algorithm and ML systems at the heart of 4M's mapping engine. This is a role for engineers who think in systems, bring cutting-edge computer vision and algorithmic thinking to ambitious real-world challenges, and own problems end-to-end with an entrepreneurial drive.
In the AI era, being a strong engineer means more than writing great code. It means operating as both an architect and a team lead - designing the solution with clarity, then guiding AI agents to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.
You will work across computer vision and algorithm disciplines - researching solutions, designing experiments, and delivering production-grade implementations - while collaborating closely with data engineering and product teams.
What You'll Do
Research and implement novel computer vision and algorithmic solutions for challenging real-world problems - spanning perception, learning, optimization, and graph-based reasoning.
Own algorithm quality end-to-end: design experiments, evaluate results, and drive iterations until production reliability targets are met.
Work across disciplines - sharing models, methods, and insights with algorithm, data engineering, and product teams.
Monitor production model health proactively; identify degradation early and lead remediation efforts.
Integrate AI tools into your workflow and grow into the role of architect and team lead - designing the solution, then directing agents to build it.
Raise the bar on the team's technical culture through code reviews, knowledge-sharing, and rigorous algorithmic thinking.
Requirements: Relevant B.Sc./M.Sc. with 10+ years of experience as a Computer Vision or Algorithm Engineer, OR relevant Ph.D. with 7+ years of relevant industry experience.
Broad and deep computer vision background, with strong algorithmic foundations - comfortable working across CV and adjacent algorithm domains.
Deep proficiency in deep learning frameworks (PyTorch preferred).
Proficiency in Python - writes clean, production-grade code.
Proven E2E ownership: has taken CV problems from research to production, not just model experimentation.
Strong problem-solving skills - comfortable with ambiguous, non-textbook problems.
Self-motivated and entrepreneurial: identifies gaps, drives solutions, and takes accountability for outcomes.
Mentor and upskill team members, including knowledge sharing and strategic technical development.
Good communication skills - can clearly explain complex algorithmic decisions to both technical and non-technical stakeholders.
This position is open to all candidates.