ML Engineer

Bucket Robotics; California (MO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary & meaningful equity

Comprehensive benefits – health, dent,

Professional development budget

Challenging real-world ML problems

Job summary

Bucket Robotics seeks a Machine Learning Engineer to push CAD-native computer vision for manufacturing. You’ll design, train, and deploy production-grade vision models that operate on edge devices, turning 3D geometry and synthetic data into reliable manufacturing insights.

You will explore new research ideas, validate them rigorously, and ship those that survive real-world constraints like lighting, distribution shift, and edge latency.

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.

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

Skills

ML systems

Python

PyTorch

Analytical thinking

Experimentation

Problem solving

Tools

PyTorch

Job description

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

• Innovation First: We push the boundaries of what's possible in ML and advanced manufacturing
• Ownership Mentality: We take responsibility and act like founders
• Collaborative Spirit: We work together to solve complex challenges
• 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.