Lead Research Engineer
United States of America, Ann Arbor, MichiganAll locationsUnited States of America, Ann Arbor, MichiganUnited States of America, Eagan, MinnesotaCanada, Toronto, OntarioUnited States of America, New York, New YorkUnited Kingdom, LondonSwitzerland, Zug, ZugUnited States of America, Frisco, Texas Hybrid
$146,800 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
We are seeking a Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that transform the way legal, accounting, and government professionals work across the globe. As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop products and features that will delight our customers. As a Lead Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. In this opportunity as a Lead Research Engineer, you will:
What you'll bring
- A Bachelor of Science degree, computer science or related field
- At least 8 years software engineering experience
- 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.
- Driving innovation throughout the entire software lifecycle – specify, design, build, scale and maintain Machine Learning systems and capabilities in production environments.
- Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch.
- Take pride in writing clean, reusable, maintainable and well-tested code
- Experience in collaborating with research scientists to evaluate, prototype and productionize research concepts
- Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)
- Proficiency in system analysis and design & Consider DevOps and automation as fundamental pillars of your work
- A desire to learn and embrace new and emerging technology
- Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods