Senior Research Engineer joining STRIKE for Threat Intelligence at SecurityScorecard. Focusing on engineering artifacts and delivery based on research findings.
About the role
- Machine Learning Research Engineer developing AI solutions at RBC Borealis, focusing on innovative machine learning projects. Join a team of experts in applying machine learning to real-world problems.
Responsibilities
- Building machine learning-based software solutions
- Collaborating with business stakeholders to prototype machine-learning solutions rapidly
- Conducting comparisons to existing algorithms and baselines
- Reviewing, extending, and optimizing prototype solutions
- Collaborating with the engineering team to integrate algorithms into products
- Developing reusable internal tools to facilitate research prototyping
- Supporting projects with thorough documentation, design decisions, and capabilities
Requirements
- A master’s or PhD degree in computer science, mathematics, physics, economics or equivalent
- 2+ years of applied machine learning experience in a high-responsibility, minimal-supervision environment
- Experience with writing modular, robust, scalable software in Python 3.x
- Expertise in a few of the following areas: deep learning, natural language processing, 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
- 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
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