Senior Machine Learning Engineer - Recommender Systems
Description For Senior Machine Learning Engineer - Recommender Systems
Thomson Reuters, a global leader in providing intelligent information for over 160 years, is seeking a Senior Machine Learning Engineer to join their Commercial Engineering team. This role focuses on developing and implementing recommender systems that enhance user efficiency and experience. The position offers an opportunity to work with cutting-edge technology while contributing to solutions that influence global markets and support professionals worldwide.
The ideal candidate will bring 3+ years of experience in machine learning, particularly with recommender systems, and strong expertise in Python, SQL, and cloud technologies (preferably AWS). They will lead the development of scalable ML solutions, establish best practices, and collaborate with cross-functional teams to deliver enterprise-wide experiences.
Thomson Reuters offers a comprehensive benefits package including a hybrid work model, flexible work arrangements, continuous learning opportunities through their Grow My Way program, and competitive compensation. The company's culture emphasizes customer obsession, innovation, and collaborative success, while making a real-world impact in pursuing justice, truth, and transparency.
Working at Thomson Reuters means joining a team of 26,000 employees across 70 countries, where diversity and inclusion are celebrated, and employees have opportunities to contribute to industries that advance society. The company provides solutions that help professionals in legal, tax, accounting, and compliance fields work more effectively, supported by Reuters' global news services.
Responsibilities For Senior Machine Learning Engineer - Recommender Systems
- Lead development and technical implementation of machine learning solutions for recommender systems
- Create scalable, reliable, and secure machine learning solutions
- Develop and maintain technical documentation and reference models
- Establish ML best practices, technical standards, and quality control
- Provide technical guidance and problem-solving leadership
- Collaborate with stakeholders and cross-functional teams
- Foster a team-oriented culture with knowledge sharing
- Drive continuous improvement and innovation
Requirements For Senior Machine Learning Engineer - Recommender Systems
- 3+ years experience solving practical machine learning problems, especially with Recommender Systems
- Deep understanding of data processing, ML infrastructure, and MLOps practices
- 2+ years experience with cloud technologies (AWS SageMaker preferred)
- Experience in machine learning and orchestration
- Proficient in Python programming and SQL
- Experience with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras
- Experience leading engineering teams
- Strong background in data science and ML solutions
- Creative and effective problem-solving skills
Benefits For Senior Machine Learning Engineer - Recommender Systems
- Hybrid work model (2-3 days in office)
- Flexible work arrangements including 8 weeks work from anywhere
- Continuous learning and skill development programs
- Comprehensive benefits including flexible vacation
- Mental Health Days and Headspace app access
- Retirement savings
- Tuition reimbursement
- Two paid volunteer days annually
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