Artificial Intelligence Innovator

About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our R&D team, you will be responsible for designing and developing state-of-the-art neural networks for vision, grasping, and robot autonomy tasks.

The ideal candidate will have experience developing computer vision software in C++ and Python, including algorithm design and systems software development. You will also have experience with machine learning, Bayesian filtering, information theory, and/or 3D geometry.

As a Machine Learning Engineer, you will work closely with our cross-functional team to develop large-scale neural networks using PyTorch, Tensorflow, Keras, etc. You will also have experience with MLOps, dataset development for computer vision tasks, including synthetic data generation.

In addition to your technical skills, you will have excellent communication and collaboration skills, with the ability to work effectively in an Agile development environment.

Key Responsibilities

• Design and develop state-of-the-art neural networks for vision, grasping, and robot autonomy tasks
• Develop software systems to interface neural networks with hardware to solve real-world physical problems
• Select and implement cutting-edge neural network algorithms directly from the latest research
• Read research papers, attend conferences, and share the latest advances in machine learning
• Supervise model and dataset development across multiple projects, teams, and geographical locations
• Develop new training and evaluation techniques to enhance an end-to-end neural network training and evaluation pipeline
• Develop new features for a self-optimizing, real and synthetic, data generation pipeline
• Develop real-time inference applications for embedded and mobile devices
• Develop front and back-end systems for client/server inference
• Create simulated environments for synthetic data generation
• Evaluate and recommend the latest hardware for vision and robotic platforms
• Maintain clear and transparent communication with cross-functional team, vendors, and clients
• Develop robust software utilizing industry best practices for code styling, version control, and development processes
• Engage with Software Development Life Cycle processes, including scoping, architecture creation, design reviews, peer programming, and collaboration with a multidisciplinary team

Requirements

• Bachelor's Degree in Computer Science, Computer Engineering or related technical field
• Preferred Masters or PhD in engineering with computer vision or neural network thesis/dissertation
• Experience developing computer vision software in C++ and Python, including algorithm design and systems software development
• Experience with machine learning, Bayesian filtering, information theory and/or 3D geometry
• Experience in developing large scale neural networks using PyTorch, Tensorflow, Keras, etc.
• Understanding of applied mathematics, numerical optimization, and Object/Pattern Recognition
• Experience with 2D and 3D Computer Vision algorithms
• Experience in dataset development for computer vision tasks, including synthetic data generation
• Experience with MLOps
• Ability to write proficient C++ and Python code
• Experience with Git and GitFlow process, including branching, pull-request, and release processes
• Experience with Software Engineering best practices
• Experience with unit testing, integration testing, deployment & support practices
• Strong software architecture background
• Exposure to Autonomous Vehicles, Robotics, Automation, ROS/ROS2 is a plus

Benefits

• Health, Dental, and Vision Insurance
• 401(k) Retirement Plan with a company match
• Vacation/Holiday Pay
• Tuition Reimbursement
• Flexible Work Schedules
• Volunteer Work
• Professional Associations, Conferences and Subscriptions
• Company Meetings & Events