Distillation Lead
CA$195K - CA$286K/yr
... engineers working in the distillation and model efficiency space, setting a high technical bar and ... fostering a culture of rigorous experimentation. - Champion best practices for model compression ...
Distillation Lead
CA$195K - CA$286K/yr
... engineers working in the distillation and model efficiency space, setting a high technical bar and ... fostering a culture of rigorous experimentation. - Champion best practices for model compression ...
This application is for Demetres Distillery District at 28 Gristmill Lane, in the heart of the Historical Distillery District.
This application is for Demetres Distillery District at 28 Gristmill Lane, in the heart of the Historical Distillery District.
Operating Engineer
Collingwood, ON · On-site
Come join the team at Collingwood Distillery! We are a small team of dedicated individuals who ... Second Class Operating Engineer certificate / credentials are required for this position. Second ...
Operating Engineer
Collingwood, ON · On-site
Come join the team at Collingwood Distillery! We are a small team of dedicated individuals who ... Second Class Operating Engineer certificate / credentials are required for this position. Second ...
Operating Engineer
Collingwood, ON · On-site
Company/Location Overview Come join the team at Collingwood Distillery! We are a small team of ... Second Class Operating Engineer required to operate, maintain and repair all Boilers, Pressure ...
Operating Engineer
Collingwood, ON · On-site
Company/Location Overview Come join the team at Collingwood Distillery! We are a small team of ... Second Class Operating Engineer required to operate, maintain and repair all Boilers, Pressure ...
Partner with the agent engineering team to ensure the model layer meets agent workload Requirements: * 5+ years software engineering; strong Python * Production fine-tuning or distillation of open ...
Partner with the agent engineering team to ensure the model layer meets agent workload Requirements: * 5+ years software engineering; strong Python * Production fine-tuning or distillation of open ...
$110 - $170/hr
Research engineers on our team drive projects from ideation to validation, with the goal of ... distillation, imbalanced classification and regression, tabular foundation models, etc. * For new ...
$110 - $170/hr
Research engineers on our team drive projects from ideation to validation, with the goal of ... distillation, imbalanced classification and regression, tabular foundation models, etc. * For new ...
Process Operations / Chemical Process Technology, Power Engineering (4th or 5th Class an asset), Environmental Technology / Wastewater Treatment * 3-5 years of experience in distillery, brewery ...
Process Operations / Chemical Process Technology, Power Engineering (4th or 5th Class an asset), Environmental Technology / Wastewater Treatment * 3-5 years of experience in distillery, brewery ...
Partner with engineering on delivery, reliability, and scale across multiple product lines ... Knowledge distillation, model compression, and SLM deployment under latency constraints * Synthetic ...
Partner with engineering on delivery, reliability, and scale across multiple product lines ... Knowledge distillation, model compression, and SLM deployment under latency constraints * Synthetic ...
Apply knowledge distillation techniques to compress large models into latency-constrained ... Partner with engineering on delivery, reliability, and scale across multiple product lines
Apply knowledge distillation techniques to compress large models into latency-constrained ... Partner with engineering on delivery, reliability, and scale across multiple product lines
AI Modeling Engineer
Toronto, ON · On-site
Design fine-tuning, preference optimization, distillation, or other post-training work when it offers a measurable advantage over simpler methods. * Partner with speech and real-time engineers to ...
Quick apply
AI Modeling Engineer
Toronto, ON · On-site
Design fine-tuning, preference optimization, distillation, or other post-training work when it offers a measurable advantage over simpler methods. * Partner with speech and real-time engineers to ...
Design fine-tuning, preference optimization, distillation, or other post-training work when it offers a measurable advantage over simpler methods. * Partner with speech and real-time engineers to ...
Design fine-tuning, preference optimization, distillation, or other post-training work when it offers a measurable advantage over simpler methods. * Partner with speech and real-time engineers to ...
Research Scientist, World Models
Toronto, ON · On-site +1
CA$155K - CA$269K/yr
Model distillation. - Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines. - Publish high-impact research at top conferences (CVPR, ECCV ...
Research Scientist, World Models
Toronto, ON · On-site +1
CA$155K - CA$269K/yr
Model distillation. - Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines. - Publish high-impact research at top conferences (CVPR, ECCV ...
Machine Learning Engineer
Toronto, ON · On-site
Sound software engineering practices, including automated testing, code review, version control ... knowledge distillation * Familiarity with edge inference tools such as ONNX Runtime, TensorRT
Quick apply
Machine Learning Engineer
Toronto, ON · On-site
Sound software engineering practices, including automated testing, code review, version control ... knowledge distillation * Familiarity with edge inference tools such as ONNX Runtime, TensorRT
Machine Learning Engineer
Toronto, ON · Hybrid
Sound software engineering practices, including automated testing, code review, version control ... knowledge distillation * Familiarity with edge inference tools such as ONNX Runtime, TensorRT
Machine Learning Engineer
Toronto, ON · Hybrid
Sound software engineering practices, including automated testing, code review, version control ... knowledge distillation * Familiarity with edge inference tools such as ONNX Runtime, TensorRT
... engineering, product teams, and AI Services. * Optimize LLMs and ML models for high-performance inference using techniques such as quantization, pruning, distillation, and hardware specific tuning
... engineering, product teams, and AI Services. * Optimize LLMs and ML models for high-performance inference using techniques such as quantization, pruning, distillation, and hardware specific tuning
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
Markham, ON · On-site
$114.40 - $164.40/hr
Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a member of ... distillation) and efficient inference algorithm * Strong background on compiler stack and ML system ...
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
Markham, ON · On-site
$114.40 - $164.40/hr
Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a member of ... distillation) and efficient inference algorithm * Strong background on compiler stack and ML system ...
AI Engineer
Toronto, ON · On-site
CA$90K - CA$100K/yr
Collaborate with product, design, and engineering to integrate AI models into customer-facing ... Optimize model performance and scalability (e.g., quantization, distillation, edge deployment)
AI Engineer
Toronto, ON · On-site
CA$90K - CA$100K/yr
Collaborate with product, design, and engineering to integrate AI models into customer-facing ... Optimize model performance and scalability (e.g., quantization, distillation, edge deployment)
AI Engineer
Toronto, ON · On-site
CA$90K - CA$100K/yr
Collaborate with product, design, and engineering to integrate AI models into customer-facing ... Optimize model performance and scalability (e.g., quantization, distillation, edge deployment)
Quick apply
AI Engineer
Toronto, ON · On-site
CA$90K - CA$100K/yr
Collaborate with product, design, and engineering to integrate AI models into customer-facing ... Optimize model performance and scalability (e.g., quantization, distillation, edge deployment)
Local candidates (GTHA) will be asked to join us at BIMM HQ (Distillery District) 2 days per week ... Own the prompt engineering lifecycle for assigned tools and skills, including version-controlled ...
Quick apply
Local candidates (GTHA) will be asked to join us at BIMM HQ (Distillery District) 2 days per week ... Own the prompt engineering lifecycle for assigned tools and skills, including version-controlled ...
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency) Markham, Ontario, Canada Machi
Markham, ON · On-site
$114.40 - $164.40/hr
Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a member of ... distillation) and efficient inference algorithm * Strong background on compiler stack and ML system ...
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency) Markham, Ontario, Canada Machi
Markham, ON · On-site
$114.40 - $164.40/hr
Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a member of ... distillation) and efficient inference algorithm * Strong background on compiler stack and ML system ...
Distillery Engineering information
What is distillery engineering?
A Distillery Engineering job involves designing, maintaining, and optimizing the equipment and processes used in alcohol production. Engineers in this field work with fermentation, distillation, and bottling systems to ensure efficiency, safety, and product quality. They may also focus on energy efficiency, automation, and regulatory compliance. This role requires expertise in mechanical, chemical, or process engineering, along with a strong understanding of brewing and distillation principles.
What are some typical challenges faced by professionals in distillery engineering roles?
Distillery engineers often work with complex systems where even minor production issues can impact product quality, yield, and safety, so troubleshooting and quick decision-making are daily challenges. The role frequently involves coordinating with cross-functional teams—including operators, quality control specialists, and maintenance crews—to implement process improvements and ensure seamless production. Additionally, engineers must stay current with evolving regulations and sustainability practices, which can add layers of complexity to project management. Embracing these challenges is key to driving innovation and maintaining high standards in the distilling industry.
What are the key skills and qualifications needed to thrive in distillery engineering, and why are they important?
To thrive in Distillery Engineering, a strong background in chemical, mechanical, or process engineering with knowledge of distillation processes and safety regulations is essential. Familiarity with process control systems, automation software, quality assurance practices, and relevant industry certifications like OSHA or Six Sigma is highly valued. Excellent problem-solving abilities, teamwork, and clear communication are important soft skills for this role. These skills ensure efficient, safe, and innovative operations in the production of distilled spirits, supporting both quality and regulatory compliance.
What are popular job titles related to Distillery Engineering jobs in Ontario?
For Distillery Engineering jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Distillery Engineering jobs in Ontario look for?
The top searched job categories for Distillery Engineering jobs in Ontario are:
CA$195K - CA$286K/yr
Full-time
Medical, Dental, Vision, PTO
Re-posted 7 days ago
Key responsibilities
Define and drive the technical strategy for model distillation and compression across Waabi's AI stack.
Design, implement, and scale distillation and efficiency pipelines for various models and use-cases.
Collaborate with cross-functional teams to integrate compressed models into production pipelines and meet performance targets.
Job description
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
Â
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi's Physical AI platform is powered by state of the art ML models which must be deployed efficiently across diverse use-cases, from onboard vehicle inference to large-scale simulation. As the Distillation Lead, you will own the strategy and execution for distillation across Waabi's AI stack, ensuring our most capable models run efficiently in every deployment context. You will partner closely with ML Platform, Infrastructure, Onboard Autonomy, and Simulation teams to deliver compressed models that meet the performance requirements of both real-time onboard systems and high-throughput simulation pipelines.
Â
You will...
- Define and drive the technical strategy for model distillation and compression across Waabi's AI stack - spanning perception, world models, and planning - with an eye toward both onboard deployment and simulation use-cases.
- Design, implement, and scale state-of-the-art distillation and efficiency pipelines, which may include:Â
Distillation for generative models (diffusion, autoregressive, flow-matching, video models)
Quantization-aware training (QAT) and post-training quantization (PTQ)
Knowledge distillation (feature-level, response-based, and relation-based)
Structured and unstructured pruning and sparsification
Low-rank factorization and efficient architecture design
Speculative decoding and other inference-time efficiency techniques
- Collaborate closely with ML Platform, Infrastructure, Onboard, Autonomy, and Simulation teams to integrate compressed models into production pipelines and meet latency, memory, and throughput targets across deployment contexts.
- Define rigorous benchmarks and evaluation frameworks to characterize efficiency vs. quality trade-offs across models and hardware targets.
- Mentor and guide researchers and engineers working in the distillation and model efficiency space, setting a high technical bar and fostering a culture of rigorous experimentation.
- Champion best practices for model compression across the organization; disseminate knowledge through internal design reviews, documentation, and technical talks.
- Stay at the cutting edge of model efficiency research; contribute to the broader scientific community through publications and open-source contributions.
Qualifications:
- Deep distillation expertise:Â You have extensive hands-on experience designing and implementing distillation, quantization, pruning, and model compression techniques for large-scale neural networks, with demonstrated impact in production settings.
- Strong research and engineering foundation:Â A Bachelor's or Master's degree in Machine Learning, Computer Vision, Robotics, or a related field, or equivalent industry experience; relevant hands-on experience in model distillation and efficiency is what matters most. Expert Python and PyTorch (or JAX) skills with experience in large-scale distributed training.
- Technical leadership:Â You have a proven track record of setting technical direction and driving projects from conception to production. You inspire and elevate those around you through deep technical expertise and mentorship.
- Cross-functional collaboration:Â You have experience working closely with infrastructure, platform, and autonomy teams to deploy compressed models under real engineering constraints.
- Clear communicator:Â You can communicate complex technical trade-offs clearly to diverse audiences and drive alignment across research and engineering teams.
Bonus:
- Experience with hardware-aware optimization (TensorRT, ONNX, custom CUDA kernels, hardware-specific quantization).
- Publications at top-tier ML/CV venues (NeurIPS, ICML, CVPR, ICLR, ECCV) in model compression, efficient deep learning, or related areas.
- Experience distilling large generative models (diffusion models, LLMs, VLMs, or video models).
- Background in autonomous vehicles or robotics.
The US yearly salary range for this role is: $195,000 - $286,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Â
Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!Â
Â
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Â
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job