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(Python Based) Senior Research Engineer

Refinitiv

Old Toronto

Hybrid

CAD 90,000 - 120,000

Full time

Today
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Job summary

A leading company is seeking a Senior Research Engineer to innovate in AI and ML, driving transformation through data-driven capabilities. You will engage in the full software development lifecycle, collaborate with diverse teams, and contribute to impactful solutions. If you're passionate about technology and eager to learn, this role offers a hybrid work model and a chance to make a real-world impact.

Benefits

Flexible Work Arrangements
Career Development Programs
Comprehensive Benefits
Mental Health Days Off
Paid Volunteer Days Off

Qualifications

  • At least 5 years software engineering experience.
  • At least 2 years working on a Machine Learning related product.

Responsibilities

  • Develop and deliver high-quality solutions.
  • Build scalable ML solutions and data processing pipelines.
  • Collaborate in a team-oriented environment.

Skills

Python
Machine Learning
Cloud Computing
Agile Methodologies
Communication

Education

Bachelor's Degree in Computer Science

Tools

Java
Rust
Scala
Typescript

Job description

(Python Based) Senior Research Engineer page is loaded

(Python Based) Senior Research Engineer
Apply remote type Remote Job: Hybrid locations CAN-Toronto-19 Duncan Street time type Full time posted on Posted 29 Days Ago job requisition id JREQ186136

Senior Research Engineer


Do you love creating innovative solutions for customers?

We are seeking a passionate Senior Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation.As amember of Thomson Reuters Labs you will haveadirect impact on our companybyhelping to create newand 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 Senior 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 Senior Research Engineer, you will:

  • Develop and Deliver:Applying modern software development practices, you will be involved in the entire software development lifecycle, building,testingand 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 willdevelophigh performing scalablesystems 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 position of Senior Research Engineer if your background includes:

Required Skills and Experience:

  • A Bachelors Degree in Computer Science, Related Field, or Equivalent Experience
  • At least5years software engineering experience.
  • At least 2 years working on a Machine Learning related product or solution.
  • Have a deep understanding of Python software development stacksand ecosystems.
  • Demonstrate ability to write clean, reusable, maintainable and well-tested code
  • Demonstrate a desire to learn and embrace new and emerging technology
  • Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team.
  • Keen interest in real-world applications and impact.
  • Have experience with cloud computing development.
  • Have experience with Agile Methodologies.
  • Have experience implementing CI/CD, DevOps, and SDLC concepts in development of a application.

Preferred Skills and Experience:

  • Have experienceintegrating Machine Learning solutionsinto production-grade softwareand have an understanding ofModelOps and MLOps principles
  • 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.
  • Can understand and translate between language and methodologies used both in research and engineering fields
  • Hands-on experience in other programming language/scripting langugage and development stack (Java, Rust, Scala, Typescript, etc.)

#LI-JF1

What’s in it For You?

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

  • Making a Real-World Impact:We are one of the few companies globally 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.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

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. 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.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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 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. More information on requesting an accommodation here .

Learn more on how to protect yourself from fraudulent job postings here .

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

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Thomson Reuters informs the way forward by delivering trusted content and technology that professionals and institutions need to make the right decisions. We are modernizing the pillars of society through the digitalization of the tax and legal professions, the free press, commerce, and the rule of law, and elevating the way professionals and institutions work.

Discover how Thomson Reuters approaches AI innovation as Chief Product Officer David Wong breaks down the essential components.

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