Lead Machine Learning Engineer - Recommender Systems
Description For Lead Machine Learning Engineer - Recommender Systems
Thomson Reuters, a global leader with a 160-year legacy, is seeking a Lead Machine Learning Engineer to join their innovative team focused on recommender systems. This role combines technical leadership with hands-on machine learning development, particularly in building and optimizing recommender systems. The position offers a unique opportunity to work on projects that directly impact professionals across legal, tax, accounting, and compliance sectors.
The ideal candidate will bring 5+ years of machine learning experience, with deep expertise in recommender systems and cloud technologies. You'll lead technical implementations, mentor team members, and drive the development of AI/ML solutions using cutting-edge technologies. The role requires proficiency in Python, SQL, and various ML frameworks including PyTorch, Scikit-learn, and Keras.
Thomson Reuters offers an attractive hybrid work environment with significant flexibility, including work-from-anywhere options for up to 8 weeks annually. The company's commitment to continuous learning is evident through their comprehensive development programs and tuition reimbursement. They provide a robust benefits package including mental health support, retirement savings, and paid volunteer opportunities.
What makes this role particularly compelling is the chance to work on solutions that promote justice, truth, and transparency globally. You'll be part of a 26,000-strong workforce across 70 countries, contributing to products that help professionals make better decisions and focus on what matters most. The company's culture emphasizes customer obsession, innovation, and collaborative success, making it an ideal environment for ambitious ML engineers looking to make a real-world impact.
Responsibilities For Lead Machine Learning Engineer - Recommender Systems
- Provide technical direction for projects
- Break down business requirements into work for the team to execute
- Spearhead development and technical implementation of machine learning solutions
- Lead routine projects with manageable risks
- Deliver AI/ML solutions using emerging technologies
- Train and mentor colleagues
- Design and develop control logic for end-to-end AI-based solutions
- Lead design and development of Proof of Concepts
- Improve operations through systems analysis
Requirements For Lead Machine Learning Engineer - Recommender Systems
- Over 5 years of experience with machine learning, especially Recommender Systems
- Strong understanding of data processing, ML infrastructure, and DevOps/MLOps
- At least 2 years with cloud technologies (preferably AWS)
- Proficient in Python, SQL, and data modeling
- Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, and Keras
- Experience leading engineering teams
- Creative problem-solving skills
Benefits For Lead Machine Learning Engineer - Recommender Systems
- Hybrid work model (2-3 days in office)
- Flexible work arrangements including work from anywhere for up to 8 weeks per year
- Continuous learning and skill development programs
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Mental, physical, and financial wellbeing resources
- Two paid volunteer days annually
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