Senior Applied Researcher, NLP and IR
Vor 3 Tagen
Are you passionate about advancing the field of applied research in a dynamic industry setting? At Thomson Reuters Labs in Zug, we're seeking talented scientists with a strong background in solving complex problems using cutting-edge information retrieval, natural language processing, and generative AI.
We're a collaborative team that experiments, builds, and delivers innovative solutions to support our organization and customers. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility.
About the Role
As a Senior Applied Scientist, you will:
- Drive Innovation: Champion best practices to ensure reproducible research and well-managed software delivery.
- Collaborate: Work on a cross-functional team, sharing information, valuing diverse ideas, and partnering effectively with colleagues globally.
- Deliver Results: Translate complex business problems into projects with clearly defined scope, working in a fast-paced, dynamic environment.
- Innovate: Empowered to try new approaches and learn new technologies, fostering innovative ideas to solve real-world challenges.
- Communicate Effectively: 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 this role if your background includes:
- PhD in a relevant discipline or Master with comparable experience.
- At least 5 years of practical 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.
- 8 years of 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.
What's in it for You?
You'll join our inclusive culture of world-class talent, committed to your personal and professional growth through:
- Technology: Play with big data sets to discover new products, capabilities, and insights for our customers.
- Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles.
- Wellbeing: Comprehensive benefit plans, flexible and supportive benefits for work-life balance, global minimum parental leave, two company-wide Mental Health Days Off, and more.
- Culture: Globally recognized and award-winning reputation for equality, diversity, and inclusion, flexibility, work-life balance, and more.
- Learning & Development: LinkedIn Learning access, enterprise-wide company learning days, internal Talent Marketplace, and Ten Thousand Coffees Thomson Reuters café networking.
- Social Impact: Ten employee-driven Business Resource Groups, two paid volunteer days annually, and Environmental, Social, and Governance (ESG) initiatives for local and global impact.
- Purpose-Driven Work: 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.
About Thomson Reuters
We're a global business with a diverse team of 25,000 employees across more than 75 countries. We're committed to pursuing objectivity, accuracy, fairness, and transparency in a world where these values are under attack. Join us and help shape the industries that move society forward.
Accessibility
We're an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
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