Manager AI and Applied Research
About the role
In this opportunity as Manager, Applied Research you will:
- Manage: Direct the efforts of a team of Applied Scientists and Research Engineers, ensuring a high-performance culture.
- Nurture your team’s career development and manage performance expectations through servant leadership and active coaching.
- Lead and Inspire: Build, mentor, and grow a high-performing team of applied scientists.
- Drive Research to Production: Translate state-of-the-art AI research into scalable, production-ready solutions.
- Shape Strategy: Partner with Product and Engineering leaders to define and execute the AI-driven product roadmap.
- Ensure Operational Excellence: Oversee scaling of experiment and LLMOps platforms, balancing reusability and innovation.
- Champion Innovation: Explore emerging technologies, foster experimentation, and share impact and ideas to both technical and non-technical audiences.
Responsibilities
You're a fit for the role of Manager, Applied Research if your background includes:
- Basic Qualifications: PhD in a relevant discipline or Master’s plus a comparable level of experience, 8+ years hands-on experience building IR / NLP systems for commercial applications, Strong experience in GenAI/Rag/LLM, Prior management experience – coaching & developing high-performing teams, Strong track record of delivering AI solutions at scale in enterprise environments, Ability to influence senior stakeholders and align AI initiatives with business goals, Experience delivering minimum viable products in a large enterprise environment, Demonstrable experience translating complex problems into successful AI applications, Experience writing production code and ensuring well-managed software delivery, Expertise in several of the following areas: robust Python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance, Outstanding communication, problem solving, and analysis skills.
- PREFERRED Qualifications: Experience innovating state-of-the-art research to solve real-world problems, Experience designing and implementing solutions with large language models, Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar, Advanced proficiency in Python, Java, or Scala.
Requirements
Basic Qualifications:
- PhD in a relevant discipline or Master’s plus a comparable level of experience
- 8+ years hands-on experience building IR / NLP systems for commercial applications
- Strong experience in GenAI/Rag/LLM
- Prior management experience – coaching & developing high-performing teams
- Strong track record of delivering AI solutions at scale in enterprise environments
- Ability to influence senior stakeholders and align AI initiatives with business goals
- Experience delivering minimum viable products in a large enterprise environment
- Demonstrable experience translating complex problems into successful AI applications
- Experience writing production code and ensuring well-managed software delivery
- Expertise in several of the following areas: robust Python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance
- Outstanding communication, problem solving, and analysis skills
Qualifications
Basic Qualifications:
- PhD in a relevant discipline or Master’s plus a comparable level of experience
- 8+ years hands-on experience building IR / NLP systems for commercial applications
- Strong experience in GenAI/Rag/LLM
- Prior management experience – coaching & developing high-performing teams
- Strong track record of delivering AI solutions at scale in enterprise environments
- Ability to influence senior stakeholders and align AI initiatives with business goals
- Experience delivering minimum viable products in a large enterprise environment
- Demonstrable experience translating complex problems into successful AI applications
- Experience writing production code and ensuring well-managed software delivery
- Expertise in several of the following areas: robust Python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance
- Outstanding communication, problem solving, and analysis skills
Skills
You're a fit for the role of Manager, Applied Research if your background includes:
- Basic Qualifications: PhD in a relevant discipline or Master’s plus a comparable level of experience, 8+ years hands-on experience building IR / NLP systems for commercial applications, Strong experience in GenAI/Rag/LLM, Prior management experience – coaching & developing high-performing teams, Strong track record of delivering AI solutions at scale in enterprise environments, Ability to influence senior stakeholders and align AI initiatives with business goals, Experience delivering minimum viable products in a large enterprise environment, Demonstrable experience translating complex problems into successful AI applications, Experience writing production code and ensuring well-managed software delivery, Expertise in several of the following areas: robust Python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance, Outstanding communication, problem solving, and analysis skills.
- PREFERRED Qualifications: Experience innovating state-of-the-art research to solve real-world problems, Experience designing and implementing solutions with large language models, Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar, Advanced proficiency in Python, Java, or Scala.
Benefits
Thomson Reuters offers a comprehensive benefit package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Pay
The base compensation range for the role in any of those locations is $171,000 USD - $317,600 USD.
Schedule
This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.