Overview
Lead Research Engineer role at Thomson Reuters Labs. We are seeking a passionate Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.
Responsibilities
* Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.
* 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.
About You
You are a fit for the Lead Research Engineer role if your background includes:
Essential skills & experience:
* A Bachelors Degree in Computer Science or Related Field.
* Significant software engineering experience.
* Demonstrable experience working on a Machine Learning related product or solution.
* Experience leading technical workstreams within a software engineering organization.
* Proficiency with Python software development stacks and ecosystems; experience with other programming languages and ecosystems is ideal.
* Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
* Familiarity with the Python data science stack through libraries such as NumPy, SciPy, Pandas, Dask, spaCy, NLTK, scikit-learn.
* Commitment to writing clean, reusable, maintainable, and well-tested code.
* Experience with 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.
* Desire to learn and embrace new and emerging technology.
* Familiarity with probabilistic models and the mathematical concepts underlying machine learning methods.
* Experience leading and/or mentoring teams.
* Experience providing guidance around roadblocks for the team.
* Experience providing updates to internal stakeholders.
Preferred skills & experience:
* Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles.
* Exposure to Natural Language Processing (NLP) problems and familiarity with tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
* Experience delivering production-grade ML solutions.
* Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
What’s in it For You?
* Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office for office-based roles) with a connected digital and physical experience.
* Flexibility & Work-Life Balance: Flex My Way policies to help manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
* Career Development and Growth: A culture of continuous learning and skill development with Grow My Way programming.
* Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, mental health days, Headspace, retirement savings, tuition reimbursement, and wellbeing resources.
* Culture: Inclusive, flexible, and values-driven environment with a focus on customers, competition, critical thinking, speed, and collaboration.
* Social Impact: Opportunities to contribute to the community via volunteering and ESG initiatives.
* Making a Real-World Impact: Thomson Reuters helps customers pursue justice, truth, and transparency, providing trusted, unbiased information worldwide.
About Us
Thomson Reuters informs the way forward by bringing together trusted content and technology for professionals across legal, tax, accounting, compliance, government, and media. 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, and we uphold objectivity, accuracy, fairness, and transparency. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.
J-18808-Ljbffr