Fellowship supporting mid - career scholars whose work advances Canada’s engagement with the Indo - Pacific. Proposing research in areas like Economic Security, Technology, and Indo - Pacific Geopolitics.
About the role
- Seeking an experienced Applied Research Scientist to lead AI Safety research initiatives at Mila. Collaborate with industry partners and academia to drive impactful machine learning projects.
Responsibilities
- Define the AI safety research roadmap for Mila’s Applied Projects.
- Conduct high-impact applied machine learning research in collaboration with Mila professors, industry partners, and academic institutions.
- Build and maintain a trusted network with other academic researchers in AI safety.
- Develop and implement state-of-the-art machine learning models and algorithms.
- Provide consulting services to organizations on applying machine learning to solve their specific problems.
- Mentor and collaborate with junior researchers.
- Contribute to the growth and development of Mila’s AI safety research initiatives by actively participating in workshops, seminars, and conferences.
- Facilitate technology transfer by bridging the gap between theoretical research and practical applications.
- Publish research findings in top-tier conferences and journals.
Requirements
- PhD or MSc in Computer Science, Machine Learning, or a related field, plus more than 8 years of relevant experience combining machine learning and large language models.
- Demonstrated experience conducting applied research in AI safety, or in cybersecurity using machine learning.
- Ability to work independently in applying problem-solving skills and a proven capacity to lead a multidisciplinary team.
- Proficiency in programming languages such as Python, and experience with machine learning libraries like PyTorch.
- Strong communication skills, with the ability to present complex ideas to technical and non-technical audiences.
- A track record of collaboration with industry partners is highly desirable.
- Experience working with cloud compute resources.
- Experience training generative AI models.
- Fluency in French and English.
Benefits
- The opportunity to contribute to a unique mission with significant impact;
- A comprehensive group insurance program (health, dental, disability, life, travel, and supplemental benefits);
- An employee and family assistance program;
- Access to a telemedicine service;
- A vacation policy providing a base of 20 days of vacation upon hire;
- A retirement savings plan with a minimum employer contribution of 4%;
- A generous and flexible benefits package that allows you to tailor benefits to your well-being. You can select and combine options based on your needs, including lifestyle credits, enhanced insurance, additional vacation days, and increased retirement contributions;
- Flexible working hours, a summer schedule, and the option to work remotely;
- A workplace located in the heart of Little Italy, in the trendy Mile-Ex neighborhood, close to public transit;
- A team of passionate experts in their fields;
- A collaborative and inclusive work environment.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
AU
Leading research in post - training alignment and reinforcement learning at Autodesk AI Lab. Managing a team of AI scientists to develop reliable foundation models for various industries.
Applied Data Scientist role focusing on developing frameworks for evaluating autonomous technologies. Join Waabi's innovative team advancing autonomous transportation solutions based on Physical AI.
Applied Data Scientist working on multi - faceted evaluation methodology for autonomous driving technology at Waabi. Collaborating cross - functionally to deliver actionable insights on system performance.
Senior Research Scientist specializing in evidence synthesis for health technology assessments, collaborating remotely across sophisticated projects.
Senior Applied Scientist at MaintainX enhancing scheduling systems through Python optimization and collaboration with product design teams. Focused on real - world applications of AI - driven scheduling.
VL
Research Scientist developing machine learning models to predict cellular responses for drug discovery. Joining a multidisciplinary team at Valence Labs in Montreal, Quebec.
Research Assistant supporting new content development at the Toronto Holocaust Museum. Conducting research on antisemitism and surveying responses from other museums.
Research Scientist at Valence Labs developing ML models for predicting cellular responses in drug discovery. Building generative models based on massive multiomics datasets with collaborative research.
Research Scientist developing neural reconstruction algorithms at Waabi, leading innovations in autonomous transportation technology. Seeking innovative candidates to join a rapidly expanding team.