Do you love creating innovative solutions for customers?

Thomson Reuters Labs is looking to set up a new Lab in São Paulo. 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.

What does Thomson Reuters Labs do?

We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.

As a Senior Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company’s digital transformation. The science and engineering of AI are rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces.

Is this you? Come join us!

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

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.

Essential skills & experience

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

Are 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.

Are 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

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

Preferred skills & experience

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)

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.

Can understand and translate between language and methodologies used both in research and engineering fields

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.)

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O que iremos te oferecer?

Você irá se juntar a uma empresa com ambiente de trabalho inclusivo, comprometida com seu desenvolvimento profissional e pessoal por meio de:

Modelo de trabalho híbrido: Adotamos o modelo de trabalho híbrido e flexível (de 2 a 3 dias por semana no escritório, dependendo da função), oferecendo uma experiência que proporciona conexão das equipes de maneira digital e fisicamente.

Wellbeing: plano de benefícios abrangente que inclui assistência médica e odontológica, acesso a plataformas de bem-estar físico e psicológico, benefício flexível de vale alimentação ou refeição. Férias flexíveis, dois dias de folga para saúde mental em toda a empresa; trabalho remoto por até 8 semanas em um ano, sendo que 4 dessas semanas podem ser fora do país e as demais no país, e programas de incentivo aos funcionários. Programa de Apoio ao Colaborador com recursos para o bem-estar mental, físico e financeiro.

Cultura: empresa globalmente reconhecida e premiada por igualdade, diversidade e inclusão, flexibilidade, equilíbrio entre vida pessoal e profissional e muito mais.

Aprendizado e desenvolvimento: Acesso ao LinkedIn Learning; Talent Marketplace interno com oportunidades de trabalhar em projetos de diferentes equipes; plano de mentoria e Ten Thousand Coffees Thomson Reuters, programa de conversa com líderes.

Impacto social: quatro grupos de recursos empresariais orientados por funcionários; dois dias de voluntariado remunerado anualmente; iniciativas ambientais, sociais e de governança (ESG) para impacto local e global.

Trabalho com propósito: ajudamos nossos clientes a buscar justiça, verdade e transparência. Juntos, com os profissionais e as instituições que atendemos, ajudamos a defender o estado de direito, a fazer girar as engrenagens do comércio, a capturar agentes mal-intencionados, a relatar os fatos e a fornecer informações confiáveis e imparciais a pessoas de todo o mundo.

Como uma empresa global, contamos com a diversidade de culturas e pensamentos para atingir nossos objetivos. Para garantir que possamos fazer isso, buscamos talentos qualificados em nossas operações em todo o mundo, independentemente de raça, cor, gênero, nacionalidade, religião, deficiência, idade, estado civil ou qualquer outra classificação protegida pela legislação nacional ou local. Temos orgulho de sermos um empregador que oferece oportunidades iguais de emprego.

Ao clicar em “Candidatar-se”, será iniciado o processo de envio de uma candidatura. Se tiver alguma dúvida antes de clicar em “Candidatar-se”, entre em contato com o recrutador.

Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

Accessibility

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action 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.

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More information about Thomson Reuters can be found on https://thomsonreuters.com.