Note: The job is a remote job and is open to candidates in USA. Thomson Reuters develops trusted content and technology for professionals across legal, tax, accounting, government, and media through its Thomson Reuters Labs research and development teams. The Lead Research Engineer will provide technical leadership, build scalable machine learning systems and data-processing pipelines, and deliver production-grade AI solutions while mentoring engineers and collaborating with research scientists and cross-functional teams.
Responsibilities
- Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack by establishing standards and best practices that scale
- 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
Skills
- A Bachelor of Science degree, computer science or related field
- At least 8 years software engineering experience, ideally in the context of machine learning and natural language processing
- Experience leading technical workstreams within a software engineering organization
- Skilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal
- Driving innovation throughout the entire software lifecycle – specify, design, build, scale and maintain Machine Learning systems and capabilities in production environments
- Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch
- Take pride in writing clean, reusable, maintainable and well-tested code
- Experience in collaborating with research scientists to evaluate, prototype and productionize research concepts
- Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)
- Proficiency in system analysis and design & Consider DevOps and automation as fundamental pillars of your work
- A desire to learn and embrace new and emerging technology
- Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods
- Demonstrated ability to mentor engineers, elevate team technical practise
- Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields
- 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
- Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)
Benefits
- Hybrid Work Model: a flexible hybrid working environment for office-based roles
- Work from anywhere for up to 8 weeks per year
- Flexible work arrangements
- 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
- 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
- This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
Company Overview
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