(Python Based) Research Engineer

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(Python Based) Research Engineer

Research Engineer

Do you love creating innovative solutions for customers?

We are seeking a passionate Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs, you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.

About the Role:

In this opportunity as a 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 Research Engineer if your background includes:

Essential skills & experience:

• A Bachelor's Degree in Computer Science or Related Field
• At least 3 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 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
• Familiarity with probabilistic models and 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 understanding of ModelOps and MLOps principles
• Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure
• Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
• Ability to understand and translate between language and methodologies used in both research and engineering fields
• Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)
• Exposure to cloud computing development (AWS/Azure).

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 (2-3 days a week in the office depending on the role).

• Wellbeing: Comprehensive benefit plans; flexible vacation; two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs.

• 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.

• Social Impact: Employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives.

• Purpose Driven Work: We help our customers pursue justice, truth, and transparency.

Do you want to be part of a team helping re-invent the way knowledge professionals work? 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. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.