Senior Research Engineer in Toronto

About the Role

In this opportunity as a Sr Research Engineer, you will:

• Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
• Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments.
• Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
• Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions.
• Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
• Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.

About You

You are a fit for the Sr Research Engineer if your background includes:

• Essential skills & experience:
• A Bachelors Degree in Computer Science or Related Field
• At least 5 years software engineering experience, ideally in the context of machine learning and natural language processing
• Skilled and have a deep understanding of Python software development stacks and ecosystems; experience with other programming languages and ecosystems is ideal.
• Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
• Familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn
• Take pride in writing clean, reusable, maintainable and well-tested code
• Desire to learn and embrace new and emerging technology
• Familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods
• Familiarity with Agile Methodologies.
• Preferred skills & experience:
• Experience integrating Machine Learning solutions into production-grade software and have an understanding of ModelOps and MLOps principles
• Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)
• Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
• Can understand and translate between language and methodologies used both in research and engineering fields
• Successfully taking and integrating Machine Learning solutions to production-grade software
• Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)
• Exposure to cloud computing development (AWS/Azure).
• Familiarity with Agile Methodologies.

What's In It For You

• Casual and diverse office environment where colleagues come from over 30 countries
• Competitive salary
• Hybrid work environment (in-office & home)
• Two additional days off for voluntary jobs
• Wellbeing scheme including private healthcare, pension, Multisport card and more
• High standards of ethics in the workplace
• Learning & Development through company sponsored access to learning, mentorship and networking programs
• Get a 360 view of Thomson Reuters: Thomson Reuters Labs is a microcosm of the entire corporation, giving employees who work here accelerated growth in cross-business knowledge and a rich internal network, including senior leadership representing all customer segments and functions.