Senior Machine Learning Research Engineer

Senior Machine Learning Research Engineer 1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Job Description At RBC Borealis, you’ll be joining a team of leading researchers and software engineers specializing in machine learning. You will have access to rich and massive datasets and computational resources to support novel product development in areas such as generative AI, natural language processing, and time series analysis. We’re looking for an enthusiastic Senior Machine Learning Research Engineer who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a Senior ML Research Engineer in the applied research team, you’ll be part of a collaborative group who aims to deliver AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. The goal is to understand the needs of our business partners and bring to life these unique and efficient solutions that can only be achieved through the use of machine learning. Responsibilities Lead development of machine learning-based software solutions Collaborate with business stakeholders to prototype machine-learning solutions rapidly Conduct comparisons to existing algorithms and baselines Review, extend, and optimize prototype solutions Collaborate with the engineering team to integrate algorithms into products Develop reusable internal tools to facilitate research prototyping Support projects with thorough documentation, design decisions, and capabilities Qualifications Master’s or PhD degree in computer science, mathematics, physics, economics, or equivalent 5+ years of applied machine learning experience as an individual contributor driving projects Experience with writing modular, robust, scalable software in Python 3.x Expertise in deep learning, natural language processing, or information retrieval Experience with deep learning packages such as PyTorch, JAX, or TensorFlow Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews, and source control management Strong communication skills and a collaborative attitude Benefits Become part of a team that thinks progressively and works collaboratively; we care about seeing each other reach full potential A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact from a local-to-global scale About RBC Borealis RBC Borealis, an RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state‑of‑the‑art in machine learning. Established in 2016, with labs in Toronto, Montreal, Waterloo, and Vancouver, we support academic collaborations and partner with world‑class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground‑breaking problems in diverse fields. Equal Opportunity Employment RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal/Native American status or any other protected factors. Disability‑related accommodations during the application process are available upon request. Location 777 Bay St, Toronto, Canada Employment Type Full time Work Hours / Week 37.5 #J-18808-Ljbffr