Current jobs related to Machine Learning Lead, Edge AI Inferencing - Vaughan - Blumind
-
Lead, Grid Edge Solutions
3 weeks ago
Vaughan, Canada Alectra Utilities Inc. Full time161 Cityview Blvd, Vaughan, ON L4H 0A9, Canada • 395 Southgate Dr, Guelph, ON N1G 4Y1, Canada Job Description Posted Thursday, January 1, 2026 at 5:00 AM | Expires Tuesday, January 20, 2026 at 4:59 AM Lead, Grid Edge Solutions (Non-Union) (Temporary contract – 18 months) Full-time, 35 hours/week, Hybrid Location: Vaughan or Guelph Status: This position...
-
Lead, Grid Edge Solutions
6 days ago
Vaughan, Canada Alectra Utilities Inc. Full time161 Cityview Blvd, Vaughan, ON L4H 0A9, Canada • 395 Southgate Dr, Guelph, ON N1G 4Y1, Canada Job Description Posted Thursday, January 1, 2026 at 5:00 AM | Expires Tuesday, January 20, 2026 at 4:59 AM Lead, Grid Edge Solutions (Non-Union) (Temporary contract – 18 months) Full-time, 35 hours/week, Hybrid Location: Vaughan or Guelph Status: This...
-
Bridge Saw Operator
3 days ago
Vaughan, Canada Bevelled Edge Marble & Granite Full time**BRIDGE SAW Operator** Bevelled Edge Marble & Granite is a leading provider of stone countertop manufacturing in Canada. Bevelled Edge Marble & Granite continues to grow in size and visibility, and is represented by a large team of experienced employees. Bevelled Edge Marble & Granite offers a great opportunity for career growth and...
-
CNC Operator
2 weeks ago
Vaughan, Canada Bevelled Edge Marble & Granite Full time**CNC Operator** Bevelled Edge Marble & Granite is a leading provider of stone countertop manufacturing in Canada. Bevelled Edge Marble & Granite continues to grow in size and visibility, and is represented by a large team of experienced employees. Bevelled Edge Marble & Granite offers a great opportunity for career growth and...
-
Machine Operator
3 weeks ago
Vaughan, Canada Altium Packaging Full timeAltium Packaging, Our Culture Differentiates Us!We incorporate our Guiding Principles into all aspects and at all levels of the organization and use them as a framework for decision-making. We believe our Guiding Principles foster a culture of excellence that benefits both employees and customers.Our Guiding PrinciplesAct with Integrity & in ComplianceDrive...
-
Machine Operator
2 weeks ago
Vaughan, Canada Flint Packaging Full timeDue to business growth Flint packaging is currently looking for hard-working coachable and motivated individuals to join our team in the following positions for our Vaughn Facility**: **01. Flexo Machine Operators** **02. Assistant Flexo Machine Operators** The Machine Operator shall be responsible for setting up and safe operation of the machine as per...
-
AI & Data Platform Architect
4 weeks ago
Vaughan, Canada GEI Consultants, Inc. Full timeOverview AI & Data Platform Architect at GEI Consultants, Inc. The role designs and evolves GEI’s enterprise data and analytics foundations, including platforms, shared services, architectural patterns, and reusable components that enable scalable, secure, and responsible digital, analytics, and AI capabilities across the firm. Responsibilities Lead the...
-
AI & Data Platform Architect
4 weeks ago
Vaughan, Canada GEI Consultants, Inc. Full timeOverview AI & Data Platform Architect at GEI Consultants, Inc. The role designs and evolves GEI’s enterprise data and analytics foundations, including platforms, shared services, architectural patterns, and reusable components that enable scalable, secure, and responsible digital, analytics, and AI capabilities across the firm. Responsibilities Lead the...
-
Grid Edge Solutions Lead – Strategy
3 weeks ago
Vaughan, Canada Alectra Utilities Inc. Full timeA leading energy utility provider in Vaughan is looking for a Lead in Grid Edge Solutions to develop innovative projects and strategies in the energy sector. This full-time position offers a hybrid work model and is focused on advancing grid solutions. Ideal candidates should have a post-secondary education, at least 3 years of relevant experience, and...
-
Grid Edge Solutions Lead – Strategy
6 days ago
Vaughan, Canada Alectra Utilities Inc. Full timeA leading energy utility provider in Vaughan is looking for a Lead in Grid Edge Solutions to develop innovative projects and strategies in the energy sector. This full-time position offers a hybrid work model and is focused on advancing grid solutions. Ideal candidates should have a post-secondary education, at least 3 years of relevant experience, and...
Machine Learning Lead, Edge AI Inferencing
2 hours ago
About Blumind Blumind is a deep-tech startup at the forefront of the AI revolution. We are building a new class of semiconductor: ultra-low-power analog AI processors (AMPL™) designed for the extreme edge. Our technology enables complex AI, from "always-on" keyword spotting to advanced vision and language models, to run on a fraction of the power of traditional digital chips. We are on a mission to make high-performance, on-device AI ubiquitous, from wearables and smart home devices to automotive and industrial IoT. Role Overview: The Technical Challenge We are seeking a seasoned and innovative Machine Learning Lead to own the technical strategy and execute on optimizing and deploying next-generation neural networks on our unique analog hardware. Your primary challenge will be to bridge the gap between the world of large, complex models (hybrid SSM, transformers with compression, CNN, RNN) and the hard constraints of our ultra-low-power analog compute architecture. You will lead the effort with a combination of architectural insight and hands-on validation and deployment along with hardware architects and software developers to define the future of our ML model stack. This is a leadership role for a technical expert who is passionate about hardware-aware ML and eager to solve novel problems in model compression, quantization, and algorithm-hardware co-design. The work is exciting, fast-paced and highly collaborative. Key Responsibilities Technical Leadership & Strategy: Define and execute the roadmap for ML model support on Blumind's analog platform, with a special focus on advanced architectures like Transformers, CNNs, and RNNs. Hardware-Aware ML: Lead the research and implementation of cutting‑edge optimization techniques (e.g., hardware‑aware training, aggressive quantization, pruning, knowledge distillation, bitwise models, hybrid SSM/attention structures and quantum compression techniques). AI model with hardware co‑optimization to deliver market leading TOPS/watt, TTFT and tokens/sec is the end goal. Algorithm‑Hardware Co‑Design: Serve as the primary ML expert in discussions with the hardware team. Provide critical feedback to inform the design of future analog compute cores, ensuring they are optimized for the next wave of AI models. Team Leadership: Help recruit, lead, mentor, and grow a high‑performing team of ML engineers. Foster a culture of innovation, rigorous testing, and cross‑functional collaboration. Full Stack Development: Collaborate and guide the requirements for our ML "translator" tools, which map models from standard frameworks (PyTorch, TensorFlow) onto our proprietary analog processor. Benchmarking & Analysis: Establish and own the pipelines for benchmarking model performance, accuracy, power consumption, and latency on silicon. Use this data to drive improvements across both hardware and software. Required Qualifications Education: Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning. Experience: 6+ years in machine learning, with at least 2 years in a technical lead or senior/principal role. Deep Learning Expertise: Expert‑level knowledge of deep learning architectures, particularly Transformers (e.g., BERT, ViT), SSM (e.g., Mamba, Falcon) and CNNs, with a strong theoretical and practical understanding of their internal mechanics. Signal Processing: Familiarity with the fundamentals of signal processing and/or DSP. Model Optimization: Proven, hands‑on experience with model compression techniques, especially quantization (QAT, PTQ). Core ML Skills: Strong proficiency in Python and ML frameworks like PyTorch or TensorFlow. Leadership: Demonstrated experience leading projects, hiring and mentoring junior engineers, and setting technical direction. Preferred Qualifications Experience in the tinyML or edge AI ecosystem. A background in computer architecture, device physics, semiconductor design, or analog circuits. Experience in deploying models in production environments. Experience with C/C++ for embedded systems. A portfolio of published research in ML model compression, efficient AI, or hardware-aware ML. Location Preferred location is hybrid in Toronto/Ottawa or remote anywhere else in Canada. Candidates willing to relocate to Canada will also be considered. We thank all applicants for their interest. Only candidates being considered for the role will be contacted. #J-18808-Ljbffr
