Staff Algorithm Engineer

Description The 4M story is likely one you haven’t heard before: We are on a mission to reveal the world below us—to do for the world below ground what Google Maps did for the world above. By leveraging cutting-edge technology, we are mapping the subsurface infrastructure to make reliable, real-time utility data accessible to the construction industry - completely transforming a traditional industry. We’re a growing startup with 100 employees currently based in Tel Aviv, Israel, and Austin, Texas. The Opportunity 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 Required Qualifications 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. AI-First Mindset We are building an AI-first engineering culture, and we're looking for engineers who are genuinely excited about working this way. You don't need to arrive with a fully formed AI workflow — but you should have the curiosity and the drive to develop one. In practice, this means: You're already experimenting with AI tools in your work — code assistants, LLMs, or AI-augmented workflows — and you want to go further. You're open to learning how to operate as both an architect and a team lead: holding a clear picture of the solution, then directing AI agents to get there. You see AI not as a threat to engineering craft, but as a multiplier of it. Specific tools and methods can be learned together. What matters is the mindset and the motivation to grow into this way of working. Preferred Qualifications (not required!) Experience with GIS datasets or geospatial computer vision tasks. Familiarity with GNN / graph-based algorithms. Experience with AWS cloud services (SageMaker, S3, EC2). Background in active learning or AI-assisted annotation pipelines. Why Join 4M If you want to apply cutting-edge computer vision and algorithmic thinking to ambitious, unsolved real-world problems — and see your work directly shape a product that is redefining an industry — this is that role! Hard, original problems spanning computer vision and algorithm design that push the field forward. No textbook solutions, no incremental improvements on existing products. CV and algorithms are the core technology driving 4M's mission — your work is the product. Full end-to-end ownership: from research spike to production, you see the full impact of your work. You'll grow into operating as both architect and team lead — a scope of influence that compounds over time in ways traditional engineering roles don't offer. High-autonomy culture that trusts engineers to lead — real responsibility from day one, no micromanagement. Pre-scale startup (~100 people): your influence on the technical culture, the stack, and the direction is real and lasting.