2-3 years' experience in AI/ML Engineering or Applied Data Science
Proficiency in Python and frameworks like PyTorch, NumPy, SciPy, Scikit-learn, and OpenCV
Experience with building, training, and deploying models in production
Strong understanding of machine learning fundamentals
Knowledge of cloud infrastructure (AWS, GCP, Azure)
Experience in LLM frameworks like LangChain and Vector databases like Pinecone is an asset
Familiarity with front-end or full-stack technologies is a plus
Responsibilities
Design, develop, and deploy machine learning and deep learning models
Collaborate with product, design, and engineering to integrate AI models into customer-facing applications
Conduct experiments, analyze data, and iterate models for performance improvement
Optimize model performance and scalability (e.g., quantization, distillation, edge deployment)
Stay current with the latest research and apply relevant findings to real-world problems
Build and maintain pipelines for data collection, preprocessing, training, and evaluation
Contribute to overall system design and participate in code reviews
Benefits
Health, vision, and dental benefits, 100% employer-paid
Additional benefits include RRSP, gym subsidies, and more
Work-life balance including flexible work hours
Paid sick days
Fun activities and celebrations, including Canada Day Trip and Halloween Costume Contests
Office perks including company-provided snacks and drinks
Employee recognition programs, such as gift cards and "Employee of the Week" rewards
Professional growth including continuous learning opportunities and reimbursements
Full Job Description
We\'re looking for a passionate AI Engineer to join our core engineering team and help design, build, and scale our AI infrastructure and models.
About the Role
Design, develop, and deploy machine learning and deep learning models
Collaborate with product, design, and engineering to integrate AI models into customer-facing applications
Conduct experiments, analyze data, and iterate models for performance improvement
Optimize model performance and scalability (e.g., quantization, distillation, edge deployment)
Stay current with the latest research and apply relevant findings to real-world problems
Build and maintain pipelines for data collection, preprocessing, training, and evaluation
Contribute to overall system design and participate in code reviews
About You
2-3 years\' experience in AI/ML Engineering or Applied Data Science
Proficiency in Python and frameworks like PyTorch, NumPy, SciPy, Scikit-learn, and OpenCV.
Experience with building, training, and deploying models in production
Strong understanding of machine learning fundamentals
Knowledge of cloud infrastructure (AWS, GCP, Azure)
Experience in LLM frameworks like LangChain and Vector databases like Pinecone is an asset
Experience working in a fast-paced environment is preferred
Familiarity with front-end or full-stack technologies is a plus
Why You\'ll Love Working Here
YuJa is a multiple-time honoree on Forbes\' list of Best Start-Up Employers in America. We offer a competitive compensation package that includes a base salary of $90,000 to $100,000 (We are looking for top performers based on work experience and academic performance. For the right candidate, we will beat any contending offer you have or offer a \"name your salary\" opportunity for star candidates), and comprehensive benefits and engagement opportunities.
Comprehensive Benefits:
Health, vision, and dental benefits, 100% employer-paid
Additional benefits include RRSP, gym subsidies, and more
Work-life balance including flexible work hours
Paid sick days
Team Engagement:
Fun activities and celebrations, including Canada Day Trip, Saint Patrick\'s Day Party, Halloween Costume Contests, Holiday Dinner Party, and more
Office perks including company-provided snacks, drinks and events
Employee recognition programs, such as gift cards and \"Employee of the Week\" rewards
Professional growth including continuous learning opportunities and reimbursements to support personal and professional development
Hands-on experience working with senior-level business leaders
Schedule
This is an office-based role with standard hours from Monday to Friday.
How to Apply
This job is exclusively directed towards candidates already in Canada. You may apply directly online via this site by submitting your resume and academic transcripts.
