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Senior Applied Scientist, NLP
Senior Applied Scientist, NLP
Thomson Reuters Labs in London is seeking a Senior Applied Scientist, NLP to drive end-to-end model development, experiment with state-of-the-art Information Retrieval, Natural Language Processing, and Machine Learning. This role involves translating complex business problems into clear projects, collaborating with a global team, and leading AI innovation for Thomson Reuters’ Research Products.
About the role
About The Role
As a Senior Applied Scientist, you will:
- Experiment and Develop: Drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.
- Collaborate: Work on a collaborative cross-functional team, sharing information, valuing diverse ideas, and partnering effectively with colleagues across the globe. You will elevate and mentor teammates.
- Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope, ensuring timely and well-managed deliverables.
- Innovate: Be empowered to try new approaches and learn new technologies, fostering innovative ideas to solve real-world challenges.
- Inspire: Be a proactive communicator excited to share your work, articulate and compelling in describing ideas to both technical and non-technical audiences, helping lead the adoption of AI across the enterprise.
About You
You’re a fit for the role of Sr Applied Scientist with a focus on NLP and IR if your background includes:
Basic Qualifications
- PhD in a relevant discipline or Master with a comparable level of experience.
- At least 5 years practical, relevant experience building NLP/IR/ML systems, from ideation to production.
- Solid software engineering skills for prototyping.
- Professional experience as a technical leader, translating complex business problems into projects with clearly defined scope, coordinating and guiding the work of others.
Preferred Qualifications
- 8 years practical experience building IR, ML or NLP systems in academia or industry.
- Demonstrated ability to translate cutting edge research into working prototypes and experience experimenting with novel IR or NLP models to solve real-world problems.
- Experience in fast-paced, agile environments managing uncertainty and ambiguity.
- Outstanding communication and data-driven decision-making collaboration with Product and Business Stakeholders.
- Proficiency in Python, Java, or Scala and experience delivering minimum viable products in large enterprise environments.
- Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD or similar.