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Lead Research Engineer
2 meses atrás
About the Role
We are seeking a highly skilled and experienced Lead Research Engineer to join our team at Thomson Reuters Labs in São Paulo. As a member of our global interdisciplinary team of experts, you will be responsible for leading technical workstreams and directing the efforts of a small team of software engineers.
Key Responsibilities
- Provide technical leadership and partner with other engineers to develop and improve methodology and evolve the technology stack.
- Direct the efforts of a small team of software engineers, ensuring a high-performance culture and nurturing their career development and performance expectations.
- 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.
- Work in a collaborative team-oriented environment, sharing information, valuing diverse ideas, and 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.
Requirements
- Bachelor of Science degree in Computer Science or 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.
- Experience with people management responsibilities.
- 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, and consider DevOps and automation as fundamental pillars of your work.
- Experience working in an agile environment.
- 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.
Preferred Skills and 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.
- 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.
- Successfully taken and integrated Machine Learning solutions to production-grade software.
- Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
About Thomson Reuters
Thomson Reuters is a global business that relies on diversity of culture and thought to deliver on our goals. 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.
