Research Team Lead at RBC Borealis driving AI projects in machine learning technology. Leading a collaborative team delivering AI projects from problem scoping to software implementations.
Responsibilities
Provide technical leadership and scientific guidance to AI projects, working within and across teams
Develop innovative machine learning approaches and novel intellectual property
Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery
Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research
Collaborate with team members including other researchers, engineers, and interns to grow and develop their skills in AI research and solutioning
Requirements
A Ph.D. degree in Computer Science or a related technical field
At least 2 years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience
Experience as a people manager
Expertise in machine learning, with experience with large language models and natural language processing being a plus
Experience of mentorship including junior researchers and engineers and experienced high-performance researchers
Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs
The ability to formulate and drive a research project independently
Exceptional communication skills
A history of high-quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML etc.)
Benefits
A comprehensive Total Rewards Program including bonuses and flexible benefits
Competitive compensation
Commissions
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
Senior Machine Learning Engineer developing machine learning and AI solutions at Datatonic. Collaborating with clients to enhance business operations through innovative AI applications.
Senior Machine Learning Engineer leading the design and development of scalable ML models for GEICO. Collaborating with cross - functional teams to integrate advanced machine learning solutions into production systems.
Machine Learning Engineer developing next - generation algorithms for Zoox’s autonomous vehicles. Collaborating on complex driving scenarios to ensure safe navigation in urban environments.
Senior MLOps Engineer supporting Elsevier’s research platforms with GenAI expertise. Focusing on ML pipeline automation, model deployment, and collaborative data science solutions.
Analista Programador with a focus on AI and backend development at Seidor Gesein in Madrid. Responsible for project implementation using PHP, Python, and various data technologies.
AI/ML Engineer building intelligent and adaptive systems for digital banking at Qode's Client. Involves working on production ML models and collaborating in a hybrid team.
Lead AI/ML Engineer at UPS, focusing on advanced solutions for complex business challenges. Collaborate with teams to drive innovation in AI and machine learning environments.
Machine Learning Engineer working on next - generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
Data Analyst internship focusing on resource price forecasts with AI and machine learning methodologies at Fraunhofer Institute in Nürnberg. Collaborating on data analytics projects and applying modern techniques for predictive modeling.
Graduate Analyst in Data & Machine Learning Operations for Volkswagen Financial Services, focusing on machine learning, data integration, and business intelligence projects.