Lead Research Engineer

Do you love creating innovative solutions for customers?  

Thomson Reuters Labs is looking to set up a new Lab in Toronto, Canada. We are seeking a passionate Lead Research Engineer with experience leading a small team of engineers who is proficient in Python and looking to help build artificial intelligence (AI) and data-dependent capabilities. As a member of Thomson Reuters Labs in Toronto, you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.  

What does Thomson Reuters Labs do? 

We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.    

As a Lead Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company’s digital transformation.  The science and engineering of AI are rapidly evolving.  We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces; who enjoys directing and supporting the efforts of others.  

Is this you? Come join us!   

About the Role   

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

• Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack. 

• Manage: Direct the efforts of a small team of software engineers ensuring a high-performance culture, nurturing your team’s career development and managing their performance expectations. 

• 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    

Essential skills & experience   

• Have a Bachelor of Science degree, computer science or related field  

• At least 8 years software engineering experience, ideally in the context of machine learning and natural language processing 

• Have experience leading technical workstreams within a software engineering organization. 

• Have experience with people management responsibilities 

• Are 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.  

• Are 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  

• Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)  

• Proficient in system analysis and design & Consider DevOps and automation as fundamental pillars of your work 

• Have experience working in an agile environment 

• Have a desire to learn and embrace new and emerging technology  

• Are familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods 

 Preferred skills & experience   

• Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields  

• Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. 

• Have been successfully taking and integrating Machine Learning solutions to production-grade software 

• Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)  

What's in it For You?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected

Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Optional - compensation. Compensation may only be relevant for certain positions and is recommended for use primarily by Sales:

Compensation Base salary and a variable compensation that is directly related to your success.

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Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. 

Accessibility 

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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More information about Thomson Reuters can be found on https://thomsonreuters.com.