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About the Role

As a Senior Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts driving the company’s digital transformation. You will bring expertise in AI and ML to build data-driven capabilities that transform how legal, accounting, and government professionals work globally. You will have a direct impact on the company by developing products and features that delight customers.

Responsibilities

• Develop and Deliver: Apply modern software development practices throughout the entire software development lifecycle, building, testing, and delivering high-quality solutions.
• Build Scalable ML Solutions: Create large-scale data processing pipelines to aid researchers in building and training novel machine learning algorithms. Develop high-performing, scalable systems for large online delivery environments.
• Be a Team Player: Collaborate within a team-oriented environment, sharing information, valuing diverse ideas, and partnering with cross-functional and remote teams.
• Be an Agile Person: Deliver timely solutions with a strong sense of urgency in a fast-paced, dynamic environment.
• Be Innovative: Try new approaches, learn new technologies, contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
• Be an Effective Communicator: Articulate ideas and collaborate on technical developments through dynamic engagement with cross-functional partners and team members.

Requirements

• A Bachelor’s Degree in Computer Science, Related Field, or Equivalent Experience
• At least 5 years of software engineering experience.
• At least 2 years working on a Machine Learning related product or solution.
• A deep understanding of Python software development stacks and ecosystems.
• Ability to write clean, reusable, maintainable, and well-tested code.
• Track record of quickly adopting and applying emerging technologies to solve complex problems.
• Experience collaborating with applied data scientists to translate research work into production-ready solutions.
• A keen interest in real-world applications and impact.
• Experience with cloud computing development.
• Experience with Agile Methodologies.
• Experience implementing CI/CD, DevOps, and SDLC concepts in application delivery.
• Experience integrating Machine Learning and Generative AI solutions into production-grade software.
• Understanding of ModelOps and MLOps principles.
• Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, Text classification, Summarization, etc.
• Ability to understand and translate between language and methodologies used in both research and engineering fields.
• Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.).

Skills

• AI
• ML
• Python
• Cloud Computing
• Agile Methodologies
• CI/CD
• DevOps
• SDLC
• Machine Learning Integration
• Generative AI Integration
• ModelOps
• MLOps
• Natural Language Processing (NLP)
• Named Entity Recognition (NER)
• Information Extraction
• Information Retrieval
• Text Classification
• Summarization
• Java
• Rust
• Scala
• Typescript

Location

• New York City, NY
• San Francisco, CA
• Los Angeles, CA
• Irvine, CA
• McLean, VA
• Washington, DC
• Ontario, Canada

Work Type

• Hybrid
• Remote (up to 8 weeks per year)

Experience Level

• Senior
• 5+ years software engineering experience
• 2+ years working on a Machine Learning related product or solution

Education Level

• Bachelor’s Degree in Computer Science, Related Field, or Equivalent Experience

Salary/Compensations

• USD $127,000 - $235,000 (NYC, SF, LA, Irvine, McLean, DC)
• USD $110,000 - $204,200 (Other US locations)
• CAD $100,000 - $145,000 (Ontario, Canada)
• Potential for Annual Bonus

Benefits

• Hybrid Work Model (2-3 days in office)
• Flex My Way policies
• Work from anywhere for up to 8 weeks per year
• Career Development and Growth opportunities
• Grow My Way programming
• Skills-first approach
• Flexible vacation
• Two company-wide Mental Health Days off
• Access to the Headspace app
• Retirement savings with company match
• Tuition reimbursement
• Employee incentive programs
• Resources for mental, physical, and financial wellbeing
• Market competitive health, dental, vision, disability, and life insurance programs (US)
• Competitive 401k plan with company match (US)
• Competitive vacation, sick and safe paid time off (US)
• Paid holidays (including two company mental health days off) (US)
• Parental leave (US)
• Sabbatical leave (US)
• Optional hospital, accident and sickness insurance (US)
• Optional life and AD&D insurance (US)
• Flexible Spending and Health Savings Accounts (US)
• Fitness reimbursement (US)
• Access to Employee Assistance Program (US)
• Group Legal Identity Theft Protection (US)
• Access to 529 Plan (US)
• Commuter benefits (US)
• Adoption & Surrogacy Assistance (US)
• Employee Stock Purchase Plan (US)
• Two paid volunteer days off annually
• Pro-bono consulting project opportunities
• Environmental, Social, and Governance (ESG) initiatives

About the Company

• Thomson Reuters informs the way forward by bringing together trusted content and technology for decision-making.
• Serves professionals across legal, tax, accounting, compliance, government, and media.
• Products combine specialized software and insights to empower professionals.
• Reuters is a world-leading provider of trusted journalism and news.
• Powered by 26,000 employees in over 70 countries.
• Fosters flexible work environments where everyone can contribute and grow.
• Committed to objectivity, accuracy, fairness, and transparency.
• Global business relying on diverse backgrounds and experiences.

Equal Opportunity

• Thomson Reuters seeks talented, qualified employees 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.
• Provides a drug-free workplace.
• Makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.
• Provides a US-based accommodation request process via HR.Leave-Expert@thomsonreuters.com for disability accommodations in the recruiting process.