Director, Model Research & Development

Thomson Reuters Corp.; Zug; Ibrido; CHF 180.000 - 260.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid Work Model

Flex My Way

Career Development

Descrizione del lavoro

Thomson Reuters Labs is seeking a Director of Model Research & Development to lead hands-on post-training for LLMs, including supervised fine-tuning, preference optimization, and reinforcement learning. You’ll design data selection, mixtures, synthetic data, and evaluation, while working with infra and evaluation teams to keep pipelines reliable.

You will oversee a technical team, drive experiments, publish findings, and align ML efforts with product roadmaps for regulated professional workflows.

Competenze

• Post-training and reinforcement learning depth with hands-on experience.
• Data-centric model development and ability to show impact of data changes.
• Engineering depth in distributed training, data pipelines, and evaluation infra.
• Track record of shipped models, open-source contributions, or top-tier publications.
• Proven technical leadership leading a focused team.

Mansioni

• Own post-training for Thomson's LLMs: supervised fine-tuning, preference optimization, RL.
• Stand up agentic RL pipelines with domain experts in the loop.
• Own data selection, mixture design, synthetic data generation, and evaluation design.
• Collaborate with infra and evaluation teams to keep training pipelines reliable.
• Inform roadmap and prioritization with findings and recommendations.

Conoscenze

Post-training RL depth

Data-centric model development

Engineering depth

Track record of shipped models/open‑s­

Technical leadership

Strumenti

Distributed training

Data pipelines

Evaluation infrastructure

Descrizione del lavoro

## Director, Model Research & DevelopmentApply: Hybrid: Switzerland, Zug, Zug: United Kingdom, London: Full time: Posted Today: End Date: October 31, 2026 (24 days left to apply): JREQ203994**Job Description** Thomson Reuters Labs is the global research and development division of Thomson Reuters. We bring together scientists, engineers, and domain experts to explore emerging technologies and develop compelling new AI products. From research and prototyping to customer success, our work bridges frontier science with practical application. Our innovations help professionals make better decisions, faster – for example, with intelligent legal assistants, automated compliance workflows, or agentic tax engines. We are always looking for creative, highly adaptable scientists and engineers who enjoy solving hard problems that matter.Thomson Reuters Labs builds and ships custom models for professional workflows requiring fiduciary-grade AI. The Thomson LLM model family was developed by training leading open-weight models on decades of authoritative Thomson Reuters content, with thousands of hours of subject-matter-expert input. Owning the model layer is how we earn trust in the most regulated, highest-stakes professional workflows: it lets us tune for the accuracy, citation-grounding, and jurisdictional awareness our customers require, set our own training and evaluation priorities, and build the unit economics that let AI scale profitably across products used by more than a million professionals. Reporting to the Vice President of Model Research & Development, the Director of Model Research & Development is responsible for hands-on technical direction of the research program, including the evolution of the post-training and data strategy that turns capable base models into accurate, well-calibrated, and trustworthy models for regulated use in professional workflows. You’ll work closely with the team designing and running experiments, building training and evaluation pipelines, and publishing findings at top tier conferences.See the detailed technical report for more information on the latest model release: Thomson 1.0 Technical Report on Hugging Face. **Key Responsibilities** * Own the hands-on execution of post-training for Thomson's LLMs: supervised fine-tuning, preference optimization (e.g., DPO), and reinforcement learning, including RL in agentic, multi-step settings where models learn to use tools.* Stand up and run the online, agentic reinforcement-learning pipeline, training with subject-matter experts in the loop.* Own data selection, mixture optimization, synthetic-data generation, and evaluation design, and be able to point to a specific change and its measured effect on model behavior.* Recognize when a training run is going wrong before it finishes, and know what to do about it.* Work day-to-day with infrastructure and evaluation teams to keep training and eval pipelines reliable.* Bring findings and recommendations forward to inform roadmap and prioritization decisions. **Required Qualifications** * Post-training and reinforcement learning depth. Hands-on command of supervised fine-tuning, preference optimization, and reinforcement learning, including RL in agentic, multi-step settings where models learn to use tools and complete tasks.* Data-centric model development. You've personally shaped data selection, mixture design, synthetic-data generation, and evaluation design, and can point to a specific change and its measured effect.* Engineering depth. Hands-on command of distributed training, data pipelines, and evaluation infrastructure, able to build and debug these systems yourself, not just direct others who do.* Track record. Shipped models, widely-used open-source contributions, or peer-reviewed publications at top research venues (e.g., NeurIPS, ICML, ACL, EMNLP) that speak for themselves.* Technical leadership. Experience leading a focused technical team (training and/or evaluation), even if smaller in scope than an org-wide leadership mandate. **Preferred Qualifications** * Experience applying LLMs in law, tax, or another comparably regulated professional domain, or clear evidence you can acquire that grounding quickly.* Continued pre-training and domain adaptation of large base models.* Experience with model safety, adversarial robustness, and red-teaming. #LI-PPF **What’s in it For You?*** **Hybrid Work Model:** We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.* **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.* **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.* **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.* **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.* **Making a Real-World Impact:** We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we 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. *DISCLAIMER**The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.*