Lead Research Engineer

About the role

In this opportunity as a Lead Research Engineer, you will:

• 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.
• Create 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.

  Responsibilities

  As a Lead Research Engineer, you will:

  • 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.
  • Apply modern software development practices, involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
  • Create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. Develop high performing scalable systems in the context of large online delivery environments.
  • Collaborate with cross-functional and remote teams, sharing information and valuing diverse ideas.
  • Deliver timely solutions with a strong sense of urgency and in a fast-paced, dynamic environment.
  • Contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
  • Communicate effectively with cross-functional partners and team members, articulating ideas and collaborating on technical developments.

  Requirements

  To succeed in this role, you should have:

  • 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.
  • Drive innovation throughout the entire software lifecycle – specify, design, build, scale and maintain Machine Learning systems and capabilities in production environments.
  • Proficient in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
  • Proficient 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 practice.
  • 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.
  • Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

  Qualifications

  To qualify for this role, you should have:

  • 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.
  • Proficient in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
  • Proficient 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 practice.
  • 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.
  • Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

  Skills

  The ideal candidate should possess the following skills:

  • Python software development stacks and ecosystems.
  • Automation, system monitoring, and cloud-native applications.
  • System analysis and design.
  • DevOps and automation.
  • Probabilistic models and mathematical concepts underlying machine learning methods.
  • Mentoring engineers and elevating team technical practice.
  • Other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

  Benefits

  This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. What’s in it For You?

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
  • Use of AI within the recruitment process: Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.

  Pay

  The base compensation range for the role in any of those locations is $146,800 USD - $272,600 USD.

  Schedule

  Thomson Reuters offers a hybrid work model, with employees required to work 2-3 days a week in the office depending on the role. Employees also have the option to work remotely up to 8 weeks per year.