Lead Research Engineer

About the role

Thomson Reuters Labs is a place where you can bring your expertise in AI and ML to transform how legal, accounting, and government professionals work globally. As a Lead Research Engineer, you will:

• Provide technical leadership, establish standards and best practices, and scale technology.
• Develop and deliver high-quality solutions using modern software development practices.
• Create scalable ML solutions and large-scale data processing pipelines.
• Work collaboratively with cross-functional teams and remote partners.
• Deliver solutions quickly and efficiently, embracing new technologies and methodologies.
• Communicate effectively with stakeholders and team members to ensure successful project outcomes.

Responsibilities

As a Lead Research Engineer, you will:

• Lead technical workstreams within a software engineering organization.
• Drive innovation throughout the entire software lifecycle, from specification to maintenance.
• Collaborate with research scientists to evaluate, prototype, and productionize research concepts.
• Implement machine learning systems and capabilities in production environments.
• Ensure clean, reusable, and maintainable code, and contribute to the translation between research and engineering fields.
• Integrate machine learning solutions into production-grade software, with a focus on ModelOps and MLOps principles.
• Have hands-on experience in programming languages such as Java, TypeScript, JavaScript, and others.
• Be proficient in system analysis and design, and embrace DevOps and automation.

Requirements

To succeed in this role, you should have:

• A Bachelor of Science degree in Computer Science or a related field.
• At least 8 years of software engineering experience, preferably in machine learning and natural language processing.
• Experience leading technical workstreams within a software engineering organization.
• Deep understanding of Python software development stacks and ecosystems, and proficiency in other programming languages.
• Strong background in machine learning systems and capabilities in production environments.
• Familiarity with the Python data science stack and libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch.
• Experience collaborating with research scientists and evaluating, prototyping, and productionizing research concepts.
• Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure.
• Experience in system analysis and design, and a strong commitment to DevOps and automation.
• Desire to learn and embrace new and emerging technologies.
• Familiarity with probabilistic models and understanding of the mathematical concepts underlying machine learning methods.
• Experience mentoring engineers and elevating team technical practices.
• Experience in Natural Language Processing (NLP) problems, including Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.

Qualifications

To qualify for this role, you should:

• Have a Bachelor of Science degree in Computer Science or a related field.
• Have at least 8 years of software engineering experience, preferably in machine learning and natural language processing.
• Have experience leading technical workstreams within a software engineering organization.
• Have a deep understanding of Python software development stacks and ecosystems, and proficiency in other programming languages.
• Have experience driving innovation throughout the entire software lifecycle, from specification to maintenance.
• Have experience collaborating with research scientists and evaluating, prototyping, and productionizing research concepts.
• Have proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure.
• Have experience in system analysis and design, and a strong commitment to DevOps and automation.
• Have a desire to learn and embrace new and emerging technologies.
• Have experience in Natural Language Processing (NLP) problems, including Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.

Skills

The ideal candidate should possess:

• Leadership and technical expertise in AI and ML.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team.
• Knowledge of Python and other programming languages.
• Experience with machine learning frameworks and libraries.
• Understanding of data processing and pipeline creation.
• Experience with cloud platforms like AWS or Azure.
• Strong coding and debugging skills.
• Ability to mentor and guide junior engineers.
• Experience with NLP tasks such as Named Entity Recognition (NER).

Benefits

At Thomson Reuters, you will enjoy:

• A flexible hybrid work model with options to work remotely up to 2-3 days a week.
• Competitive benefits including health, dental, vision, disability, and life insurance, retirement savings, tuition reimbursement, and more.
• Flexible vacation, sick, and safe time off, paid holidays, parental leave, sabbatical leave, and mental health days.
• Access to the Headspace app, Employee Assistance Program, and other wellness resources.
• Opportunities to participate in pro-bono consulting projects and ESG initiatives.
• Comprehensive training and development programs to support career growth.

Pay

The base compensation range for this role varies by location, ranging from $127,400 USD - $236,600 USD in the United States and $140,000 CAD - $175,000 CAD in Ontario, Canada.

Schedule

This role is currently available in multiple locations including New York City, San Francisco, Los Angeles, Irvine, CA; McLean, VA; and Washington, DC.