Yesterday
Lead Research Engineer
Employer
Brasil, BRA-São Paulo-Av Cardoso de Me
JavaScriptJavaBachelors degree
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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 Lead Research Engineer with experience leading a small team of engineers who is proficient in Python and looking to help build artificial intelligence (AI) and data-dependent capabilities. 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 Lead 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; who enjoys directing and supporting the efforts of others. Is this you? Come join us! 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. Manage: Direct the efforts of a small team of software engineers ensuring a high-performance culture, nurturing your team’s career development and managing their performance expectations. 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 Essential skills experience 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 Have experience leading technical workstreams within a software engineering organization. Have experience with people management responsibilities 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 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 experience working in an agile environment 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 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: 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 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. Optional - compensation. Compensation may only be relevant for certain positions and is recommended for use primarily by Sales: Compensation Base salary and a variable compensation that is directly related to your success. For any specialty template (CPS, Reuters, Thomson Reuters Foundations, Campus and the US/Canada version of the wellbeing section with unlimited PTO included), please use the template found at this link. #LI-ED1 ¿Quieres formar parte de un equipo que ayuda a reinventar la forma en que trabajan los profesionales del conocimiento? ¿Qué tal un equipo que trabaja todos los días para crear un futuro más transparente, justo e inclusivo? En Thomson Reuters, hemos estado haciendo precisamente eso durante casi 160 años. Nuestros productos y servicios líderes en la industria incluyen software y herramientas altamente especializados basados en información para profesionales legales, tributarios, contables y de cumplimiento, combinados con los servicios de noticias más globales del mundo: Reuters. Ayudamos a estos profesionales a hacer mejor su trabajo, dándoles más tiempo para centrarse en las cosas que más importan: asesorar, defender, negociar, gobernar e informar. Contamos con el talento de 26 000 empleados en más de 70 países, donde todos tienen la oportunidad de contribuir y crecer profesionalmente en entornos de trabajo flexibles que celebran la diversidad y la inclusión. En un momento en que la objetividad, la exactitud, la equidad y la transparencia están siendo atacadas, consideramos que es nuestro deber perseguirlas. ¿Suena emocionante? Únete a nosotros y ayude a dar forma a las industrias que hacen avanzar a la sociedad. Accesibilidad Como empresa global, confiamos en la diversidad de culturas y pensamientos para alcanzar nuestros objetivos. Para garantizar que podamos hacerlo, buscamos empleados talentosos y calificados en todas nuestras operaciones en todo el mundo, independientemente de su raza, color, sexo/género, incluido el embarazo, la identidad y expresión de género, el origen nacional, religión, orientación sexual, discapacidad, edad, estado civil, estado de ciudadano, estado de veterano o cualquier otra clasificación protegida según la ley aplicable. Thomson Reuters se enorgullece de ser un empleador que ofrece igualdad de oportunidades de empleo y acción afirmativa y ofrece un lugar de trabajo libre de drogas. También hacemos adaptaciones razonables para personas calificadas con discapacidades y para creencias religiosas sinceras de acuerdo con la ley aplicable. Protégete de ofertas de trabajo fraudulentas haz click aquí para más información. Podés encontrar más información sobre Thomson Reuters en thomsonreuters.com. Thomson Reuters proporciona a los profesionales la inteligencia , tecnologia y experiencia humana que necesitan para encontrar respuestas confiables . Permitimos que los profesionales de los mercados financieros y de riesgos , legales , fiscales , contables y de medios de comunicacion , tomen las decisiones más importantes , todo ello impulsado por la organizacion de noticas más confiable del mundo. Hear from one of our AI Experts, Shawn Malhotra, Thomson Reuters' Head of Engineering on the key components that go into innovating AI at Thomson Reuters.
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