Lead Research Engineer

vor 3 Wochen

Zug, Zug, Schweiz Thomson Reuters Vollzeit

Are you passionate about creating innovative solutions for customers?

We are seeking a talented 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.

About the Role

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

  • Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.
  • Apply modern software development practices, you will be 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.
  • Work in a collaborative team-oriented environment, sharing information, valuing diverse ideas, partnering with cross-functional and remote teams.
  • Deliver timely solutions with a strong sense of urgency and a desire to work in a fast-paced, dynamic environment.
  • Contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
  • Effectively articulate ideas and collaborate on technical developments through dynamic engagement and communication with cross-functional partners and team members.

About You

You are a fit for the Lead Research Engineer role if your background includes:

Essential Skills & Experience:

  • A Bachelor's Degree in Computer Science or a related field.
  • At least 8 years of 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.
  • Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
  • Familiar 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.
  • Demonstrate proficiency 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.
  • Have a desire to learn and embrace new and emerging technology.
  • Familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods.
  • Have experience leading and/or mentoring teams.
  • Have experience providing guidance around roadblocks for team.
  • Have experience providing updates to internal stakeholders.
  • Have exposure to cloud computing development (AWS/Azure).

Preferred Skills & Experience:

  • 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.
  • Had 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.
  • Have been successfully taking and integrating Machine Learning solutions to production-grade software.
  • Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

What's in it for you?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

  • A hybrid work model that allows for flexibility and work-life balance.
  • A globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
  • Comprehensive benefit plans, including flexible and supportive benefits for work-life balance, mental health resources, and employee incentive programs.
  • Learning and development opportunities, including LinkedIn Learning access, internal Talent Marketplace, and Ten Thousand Coffees Thomson Reuters café networking.
  • Social impact initiatives, including nine employee-driven Business Resource Groups, two paid volunteer days annually, and Environmental, Social and Governance (ESG) initiatives for local and global impact.
  • Purpose-driven work that helps 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.

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