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Thomson Reuters
2mo ago

Lead Applied Scientist I(m/w/x)

Zug
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

As a Lead Applied Scientist, you will be at the forefront of AI innovation, driving solutions and engaging with various teams while mentoring others. This role involves deepening your understanding of customer challenges and leveraging cutting-edge technology to create value.

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Requirements

  • •PhD in relevant discipline or Master's plus comparable experience
  • •6+ years of practical experience building AI/ML products
  • •Experience writing production code and managing software delivery
  • •Experience translating complex problems into AI applications
  • •Outstanding communication, problem-solving, and analysis skills
  • •Collaboration with Product, Engineering, and stakeholders in agile manner
  • •Experience with Generative AI, RAG, and LLMs in production
  • •Experience with cloud platforms (AWS, Azure, GCP)
  • •Hands-on experience with LLM fine-tuning techniques (RLHF, DPO, PEFT, LoRA, QLoRA)
  • •Hands-on experience with agentic frameworks (LangGraph, CrewAI, Pydantic AI) and Coding Assistants (Claude Code, Codex, Cline)
  • •Proficiency in Python, PyTorch/TensorFlow, and ML ops tooling
  • •Track record of productionizing research (model cards, monitoring, A/B testing)
  • •Publications at top venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD)

Education

Doctoral / PhD
OR
Master's degree

Work Experience

6 years

Tasks

  • •Innovate and drive solution delivery as a technical leader
  • •Ensure accountability for all research deliverables
  • •Provide input on long-term AI strategy to business and Labs leadership
  • •Lead stakeholder engagement with Product, Engineering, and Design teams
  • •Develop in-depth knowledge of customer problems and data
  • •Maintain expertise in relevant scientific and technical areas
  • •Identify and leverage state-of-the-art technology for TR products
  • •Mentor and coach scientists and engineers on best practices

Tools & Technologies

PythonPyTorchTensorFlowAWSAzureGCP

Languages

English – Business Fluent

Benefits

Flexible Working

  • •Flexible hybrid working environment

Workation & Sabbatical

  • •Work from anywhere for up to 8 weeks per year

Other Benefits

  • •Comprehensive benefit plans

More Vacation Days

  • •Flexible vacation

Mental Health Support

  • •Two company-wide Mental Health Days off
  • •Access to the Headspace app
  • •Resources for mental, physical, and financial wellbeing

Retirement Plans

  • •Retirement savings

Additional Allowances

  • •Tuition reimbursement

Bonuses & Incentives

  • •Employee incentive programs

Social Impact

  • •Paid volunteer days off annually
  • •Opportunities for pro-bono consulting projects

Sustainability Focus

  • •Environmental, Social, and Governance initiatives
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