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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, 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, CA
- 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
- $127,000 USD - $235,000 USD (for eligible office locations including New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC)
- $110,000 USD - $204,200 USD (for any eligible US locations)
- $100,000 CAD - $145,000 CAD (for Ontario, Canada)
- Potential for Annual Bonus based on enterprise and individual performance
Benefits
- Hybrid Work Model
- Flexibility & Work-Life Balance (Flex My Way policies)
- Work from anywhere for up to 8 weeks per year
- Career Development and Growth (Grow My Way programming)
- Industry Competitive Benefits
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, financial, and physical 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 (paid by employee)
- Optional life and AD&D insurance (paid by employee)
- Flexible Spending and Health Savings Accounts (US)
- Fitness reimbursement (US)
- Access to Employee Assistance Program (US)
- Group Legal Identity Theft Protection benefit (paid by employee)
- Access to 529 Plan (US)
- Commuter benefits (US)
- Adoption & Surrogacy Assistance (US)
- Access to Employee Stock Purchase Plan (US)
- Two paid volunteer days off annually
- Opportunities for pro-bono consulting projects
- Opportunities for 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. We serve professionals across legal, tax, accounting, compliance, government, and media.
- Our products combine specialized software and insights to empower professionals with data, intelligence, and solutions.
- Reuters, part of Thomson Reuters, is a world-leading provider of trusted journalism and news.
- We are powered by 26,000 employees across more than 70 countries, fostering professional growth in flexible work environments.
- We are committed to objectivity, accuracy, fairness, and transparency.
Equal Opportunity
- As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees. We seek 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 providing a drug-free workplace.
- Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.
- Information on requesting accommodations is available.
- Information on how to protect yourself from fraudulent job postings is available.