Research Engineer

Summary

Thomson Reuters is a global leader in providing trusted content and technology solutions. They are seeking a Research Engineer to develop data-driven capabilities in AI and ML, transforming how legal, accounting, and government professionals work. The role involves building scalable ML solutions and collaborating within a cross-functional team to deliver innovative software solutions.

Responsibilities

• Applying modern software development practices, you will be involved in the entire software development lifecycle, designing, building, testing and delivering high-quality 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
• Working in a collaborative team-oriented environment, you will share information, value diverse ideas, and partner with cross-functional and remote teams
• With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions
• 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
• Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments

Skills

• A Bachelor of Science degree, computer science or related field
• At least 2 years software engineering experience, ideally in the context of machine learning and natural language processing
• Experience and understanding of Python software development stacks and ecosystems, ideally also experience with other programming languages and ecosystems
• Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems
• Familiarity 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
• A desire to learn and embrace new and emerging technology
• Familiarity with probabilistic models and understand the mathematical concepts underlying machine learning methods
• Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)
• 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
• Ability to understand and translate between language and methodologies used both in research and engineering fields
• Ability to take and integrate Machine Learning solutions to production-grade software

Qualifications

Must Haves

• A Bachelor of Science degree, computer science or related field
• At least 2 years software engineering experience, ideally in the context of machine learning and natural language processing
• Experience and understanding of Python software development stacks and ecosystems, ideally also experience with other programming languages and ecosystems
• Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems
• Familiarity 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
• A desire to learn and embrace new and emerging technology
• Familiarity with probabilistic models and understand the mathematical concepts underlying machine learning methods
• Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)
• 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
• Ability to understand and translate between language and methodologies used both in research and engineering fields
• Ability to take and integrate Machine Learning solutions to production-grade software

Benefits

• Hybrid Work Model: flexible hybrid working environment for office-based roles
• Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities
• Work from anywhere for up to 8 weeks per year
• Career Development and Growth: Grow My Way programming and skills-first approach
• Flexible vacation
• Two company-wide Mental Health Days off
• Access to the Headspace app
• Retirement savings
• Tuition reimbursement
• Employee incentive programs
• Resources for mental, physical, and financial wellbeing
• Social Impact Institute: two paid volunteer days off annually
• Opportunities to get involved with pro-bono consulting projects
• Opportunities to get involved with Environmental, Social, and Governance (ESG) initiatives
• Market competitive health, dental, vision, disability, and life insurance programs
• Competitive 401k plan with company match
• Competitive vacation
• Sick and safe paid time off
• Paid holidays (including two company mental health days off)
• Parental leave
• Sabbatical leave
• Optional hospital, accident and sickness insurance paid 100% by the employee
• Optional life and AD&D insurance paid 100% by the employee
• Flexible Spending and Health Savings Accounts
• Fitness reimbursement
• Access to Employee Assistance Program
• Group Legal Identity Theft Protection benefit paid 100% by employee
• Access to 529 Plan
• Commuter benefits
• Adoption & Surrogacy Assistance
• Access to Employee Stock Purchase Plan
• Annual Bonus (may be eligible for an Annual Bonus based on a combination of enterprise and individual performance)