Role Overview
Bucket Robotics is hiring a Machine Learning Engineer to push the frontier of CAD-native computer vision for manufacturing. You’ll work on the core ML systems that turn 3D geometry and synthetic data into reliable, production-grade vision models deployed on factory floors.
This role is perfect for someone who gets genuinely excited about new research ideas, enjoys deep analytical thinking, and wants to see those ideas survive contact with reality—edge deployment, distribution shift, weird lighting, and all.
You’ll operate at the boundary between research and production: exploring new approaches, validating them rigorously, and shipping the ones that work.
Responsibilities
- Design, train, and evaluate computer vision and ML models for inspection and perception
- Develop novel approaches for learning from CAD, synthetic data, and limited real-world data
- Run rigorous experiments to understand model behavior, failure modes, and tradeoffs
- Improve model robustness across lighting, materials, viewpoints, and manufacturing variation
- Optimize models for edge deployment (latency, memory, reliability)
- Collaborate closely with engineering to integrate models into production systems
- Build evaluation frameworks and metrics that reflect real-world manufacturing requirements
- Stay current with cutting-edge research and proactively test promising ideas
Required Qualifications
- 3+ years experience developing ML systems in research or production environments
- Strong foundation in machine learning fundamentals and statistical reasoning
- Hands-on experience training deep learning models (e.g. PyTorch)
- Strong Python skills and comfort working in experimental codebases
- Enjoys deep problem-solving, experimentation, and analytical thinking
- Comfortable operating in ambiguity and iterating quickly
Preferred Qualifications
- Experience in computer vision, 3D vision, or geometry-aware ML
- Familiarity with synthetic data generation, simulation, or domain randomization
- Experience deploying models to edge or resource-constrained environments
- Background in robotics, manufacturing, or physical-world ML systems
- Authored technical reports, blog posts, or peer-reviewed research
- Previous startup or early-stage company experience
What We Offer
- Competitive salary & meaningful equity – help define the core ML systems of the company
- Comprehensive benefits – health, dental, and vision insurance
- Professional development budget – conferences, courses, and research exploration
- A chance to work on hard problems – ML that has to work in the real world, not just benchmarks
Our Values
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Innovation First: We push the boundaries of what's possible in ML and advanced manufacturing
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Ownership Mentality: We take responsibility and act like founders
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Collaborative Spirit: We work together to solve complex challenges
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Continuous Learning: We're always growing and improving
Bucket Robotics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
About Bucket Robotics
Bucket Robotics builds AI vision infrastructure for manufacturing.
Manufacturers lose billions every year because quality inspection systems are difficult to deploy, hard to scale across factories, and too dependent on manual labor. Most vision systems require months of labeling, tuning, and retraining before they become production-ready.
Bucket Robotics solves this by turning CAD files and sample footage into deployable inspection systems — without requiring massive labeled datasets.
Our platform uses synthetic data generation, simulation, and edge deployment tooling to create custom computer vision systems for manufacturing environments, including defect detection, object classification, segmentation, and robotic guidance. Customers can deploy vision models in days instead of months.
We’re building the trust layer for industrial quality: inspection systems that are replicable across facilities, adaptable to changing production environments, and usable by operators on the factory floor from day one.
Our team comes from Michelin, Uber ATG, Argo AI, and Stack AV, where we built and operated large-scale autonomy systems in the real world. Today, Bucket Robotics is working with enterprise manufacturers across automotive and industrial production.
Compensation: $120K - $165K
Skills: ML, Python, Machine Learning, CUDA
Experience: 3+ years
