Minimum Qualifications:
- Master’s degree in Machine Learning, Computer Vision, Robotics, Computer Science or a closely related field.
- 10+ years of experience in software development with a focus on machine learning.
- Experience leading small technical teams.
- Demonstrated capability to train and analyze machine learning models to solve real-world problems and achieve target KPIs in a production environment.
- Knowledgeable in modern deep learning techniques, such as CNNs/ViTs and vision language models (VLMs), as well as traditional machine learning techniques.
- Strong knowledge and experience in applying machine learning to solve computer vision and robot behavior problems in a production environment.
- Experience in complex problem-solving and evaluating different solutions, trade-offs, and perspective to make informed decisions on technical roadmap and execution thereof.
- Ability to work in teams, influence, and align with cross-functional team members to achieve optimal collaborative outcomes.
- Self-motivated with a positive attitude and capable of working with minimal supervision.
- Excellent communication skills.
- Capability to adapt to challenges in a fast-paced environment.
Preferred Qualifications:
- PhD in Machine Learning, Computer Vision, Robotics, Computer Science or a closely related field.
- Experience with advanced robotic manipulation systems and an understanding of the software/hardware ecosystem (e.g. arm vendors, perception sensors)
- Experience with RGB and depth image data and/or 3D point cloud data.
- Experience in curating datasets for annotation and using annotation tools for model improvements.
- Proficiency in automated testing and production deployments.
- Familiarity with developing technology roadmaps.
- Proven track record of successful contributions to products and projects.
- Experience in deep learning frameworks such as PyTorch.
- Strong programming skills in Python or C++.
- Proficient with data science tools and libraries like numpy, pandas, scipy, matplotlib, scikit-learn, and jupyter notebooks.
- Experience with experiment tracking and dataset management tools (e.g. Weights & Biases).
About The JobBerkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, and logistics. Our technology automates complex pick, pack, and sort operations.In the role of Software Engineering Manager, Machine Learning Lead, you will develop and oversee the deployment of cutting-edge machine learning solutions for advanced robotic solutions, enhancing their capabilities and efficiency. This position offers a unique opportunity to lead groundbreaking projects in machine learning, directly impacting our product lines and customer satisfaction.Responsibilities
- Develop and implement advanced machine learning algorithms for robotic manipulation.
- Provide technical leadership and mentorship to a dedicated team of engineers.
- Architect and oversee robust software solutions for deployment in global markets.
- Evaluate and integrate new technologies and libraries to enhance product features and performance.
- Coordinate with other software and hardware teams to ensure cohesive product strategies.
- Communicate technical priorities and progress across the company.
6110-2408AC
