Machine Learning Manager

Novarc Technologies Inc•Burnaby, BC

4h•CA$140,000 - CA$173,000•Onsite

About The Position

Our never-before-seen, adaptive welding products push the limit of what physical AI in general, and machine learning in particular, can do today. We are looking for an experienced and hands-on Machine Learning Manager to join our growing team and support existing products and help us develop new ones. As a Machine Learning Manager, reporting to the Senior Director of Robotics and AI, you will be responsible for developing amazing new features (from classic sensing classifications and segmentations all the way to artificial-intelligence-driven features) and strategizing AI development integrated with our welding intelligence package (known as NovAI). You are a critical link in the team and your creativity and knowledge will enable the continued success of our robots! In addition to managing a team of data scientists and engineers, you will be responsible for setting and executing on the technical direction of our machine learning developments. You will be responsible for deciding on short and long term machine learning technologies and roadmaps.

Requirements

Experience with managing a 5 to 10 individual contributors
Bachelor's degree in Electrical or Software or Computer Science or similar disciplines, master or PhD highly preferred
Strong knowledge and experience in various machine learning techniques, such as supervised and unsupervised learning, deep learning, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transfer learning
Strong understanding of computer vision concepts, including image processing, object detection, image segmentation, feature extraction, and recognition algorithms
Proficiency in C++ and Python esp. In robotic applications
Minimum 5 years experience with Pytorch, Tensorflow, OpenCV
Minimum 3 years experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
Strong software development skills to build efficient and scalable machine learning models and applications including version control (e.g., Git) and software architecture design
Familiarity with trajectory memorization and toolpath optimization for minimal mechanical stress, energy efficiency, and time.
Algorithmic thinking and the ability to devise and implement machine learning techniques to have outputs suitable for PLCs or robot programs
Strong communication and documentation skills
Strong organizational and time management skills
Strategic, critical thinking, and analytical skills for structured problem-solving rather than band-aid fixes.
Humble - Servant Leader, No arrogance, Less Ego, Listen > Talk
Hungry - Be Passionate, Never Give Up, Customer Focused, Continuous Learning, Do What You Say
Smart - High EQ, Challenge the Status Quo, Thought Leaders

Nice To Haves

Experience integrating an AI pipeline with a third party PC/PLC
Experience modeling real world problems with AI models
Experience with Physical AI
Experience with inference at the edge
Familiarity with welding

Responsibilities

Manage a team of 5 to 10 machine learning and data scientists and set up goals and performance reviews
Participate in interviews, onboarding, and building/scaling the team
Drive the development, fast prototyping, and testing in the following areas: Computer Vision (including segmentation, detection and tracking, pose estimate, image fusion, and, last but not least, traditional rule based algorithms), Machine Learning (Neural Network (DNN, CNN, RNN, MNN, Transformer), Classification, Random Forest, Decision Tree, Adaptive Learning and Design of Experiment, Transfer Learning and Feature Extraction, Physical AI), Signal Latencies and resolutions for motion control integration, Power and computing resources budget and cost implications, Maximize inference performance at the edge
Develop computer vision applications and data visualization with Pytorch/Tensorflow, Python/C++
Contribute to scientific papers and patents
Tools/model selection, testing, and integration of components
Test, validation and troubleshoot of products thorough debugging of end to end integration, diagnosing and resolving software or hardware issues to improve system performance and reliability
Work with controls and welding teams to integrate robotic systems with sensors, vision systems, and other automation equipment
Debug and commission machine learning solutions at our facility, during the system integration stage, and then remote support at the customer’s site during installation
Get to the root of one-time and repeating integration or customer Service issues and implement long-term, sustainable solutions.
Create and maintain state machine documentation, architecture diagrams, and user manuals for robotic systems
Travel as required to customer sites or conferences/trade shows to add to their knowledge of the product
Other responsibilities as assigned