Senior Research Engineer

4 semanas atrás

Jardim Odete, Brasil Thomson Reuters Tempo inteiro

About the Role

We are seeking a passionate Senior 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 in São Paulo, you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.

Key Responsibilities

  • Develop and deliver high-quality solutions applying modern software development practices.
  • 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.
  • Be a team player, working in a collaborative team-oriented environment, sharing information, and valuing diverse ideas.
  • Be agile, with a strong sense of urgency and a desire to work in a fast-paced, dynamic environment.
  • Be innovative, empowered to try new approaches and learn new technologies.
  • Be an effective communicator, articulating ideas and collaborating on technical developments.

About You

  • Have a Bachelor of Science degree, computer science or related field.
  • At least 5 years software engineering experience, ideally in the context of machine learning and natural language processing.
  • Fluent English.
  • Skilled and have a deep understanding of Python software development stacks and ecosystems.
  • Can understand, apply, integrate, and deploy machine learning capabilities and techniques into other systems.
  • Take pride in writing clean, reusable, maintainable, and well-tested code.
  • Have a desire to learn and embrace new and emerging technology.
  • Are familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods.
  • Experience integrating machine learning solutions into production-grade software and have an understanding of ModelOps and MLOps principles.
  • Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
  • Have 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.
  • Can understand and translate between language and methodologies used both in research and engineering fields.

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:

Hybrid Work Model

We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.

Wellbeing

Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide mental health days off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

Culture

Globally recognized and award-winning reputation for equality, diversity, and inclusion, flexibility, work-life balance, and more.

Learning & Development

LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

Social Impact

Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social, and Governance (ESG) initiatives for local and global impact.

Purpose Driven Work

We have a superpower that we've never talked about with as much pride as we should – we are one of the only companies on the planet 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.

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