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Date Posted:
6/2/2025
Remote Work Level:
Hybrid Remote
Location:
Hybrid Remote in Montreal, QC, Canada
Job Type:
Employee
Job Schedule:
Full-Time,Flexible Schedule
Career Level:
Experienced
Travel Required:
No specification
Education Level:
Doctorate Degree,Ph.D.
Salary:
We're sorry, the employer did not include salary information for this job.
Categories:
Benefits:
Health Insurance, Dental Insurance, Life Insurance, Retirement Savings, Disability, Paid Time Off
About the Role
Applied Research Scientist
Hybrid
Solution IA et Technologie, Apprentissage automatique appliquéTemps plein
Montreal, Quebec, Canada
(English version)
Mila, renowned for its exceptional academic training and pioneering research in artificial intelligence, is dedicated to help fostering economic development in Quebec and Canada through technology transfer and innovation. As a world leader in AI, Mila collaborates with industry partners and academic institutions to drive advancements in machine learning and its real-world applications.
We are seeking an experienced and dynamic Applied Research Scientist to join our Applied Machine Learning Research Team. In this role, you will contribute to innovative research projects in collaboration with external organizations, translating cutting-edge AI research into practical solutions that address real-world challenges.
Key Responsibilities:
- Conduct high-impact research in applied machine learning, collaborating with industry partners and academic institutions.
- Develop and implement state-of-the-art machine learning models and algorithms.
- Provide consultation to organizations on applying machine learning to solve their specific problems.
- Mentor and collaborate with junior researchers and graduate students.
- Contribute to the growth and development of Mila’s research initiatives through active participation 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.
Required Qualifications:
- PhD in Computer Science, Machine Learning, or a related field, with a strong publication record.
- Proven experience in conducting applied research and developing machine learning models.
- Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow or PyTorch.
- Excellent problem-solving skills and the ability to work collaboratively in a multidisciplinary team.
- Strong communication skills, with the ability to present complex ideas to both technical and non-technical audiences.
- Experience collaborating with industry partners is highly desirable.
Preferred Qualifications:
- Domain Knowledge: Expertise in one or more of the following areas is highly desirable:
- Applied Mathematics
- Natural Language Processing
- Computer Vision
- Graph Representation Learning
- Reinforcement Learning
- Proficiency in French
(English version)
Good reasons to work at Mila
- The opportunity to contribute to a unique mission with a major impact;
- A comprehensive group insurance program (health, dental, disability, life, travel and extended benefits);
- An employee and family assistance program;
- Access to a telemedicine service;
- A vacation policy offering a base of 20 days' vacation upon hiring;
- A retirement savings plan with a employer contribution of 4%;
- A generous flexible package allowing you to tailor your benefits to what contributes to your well-being. You can select and combine options to suit your needs, including lifestyle credits, enhanced insurance, extra vacation days and increased pension contributions;
- Flexible working hours, a summer schedule and the possibility of telecommuting;
- A work environment in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation;
- A team of passionate experts in their field;
- A collaborative and inclusive work environment.
We want to know you
At Mila, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We encourage anyone who wants to work in an ecosystem that is constantly evolving and stimulated to contribute to the application and definition of a healthy and inclusive culture, to apply.
Please note that only selected candidates will be contacted.