Thomson Reuters is hiring an Associate Lead Engineer to be a senior machine learning engineer responsible for creating, developing, and implementing scalable, reliable, and secure machine learning solutions. This role has a focus on recommender systems and involves providing technical leadership, establishing best practices, and collaborating closely with cross-functional teams.
What You'll Do
- Be part of the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives.
- Create machine learning solutions that are scalable, dependable, and secure.
- Craft and sustain technical outputs such as design documentation and representative models.
- Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews.
- Provide expert oversight, guidance on implementation, and solutions for technical challenges.
- Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp project scope, requirements, solutions, data, and services.
- Promote a team-focused culture that values information sharing and diverse viewpoints.
- Cultivate an environment of continual enhancement, learning, innovation, and deployment.
What We're Looking For
- At least 3 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems.
- A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices.
- 2-3 years of experience leading teams.
- A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles.
- Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products.
- Strong Python programming skills are required.
- SQL and data modeling expertise.
- Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries.
- Experience in leading and supporting engineering teams.
- Robust background in crafting data science and machine learning solutions.
- A creative, resourceful, and effective problem-solving approach.
Nice to Have
- Experience with DBT considered a plus.
Technical Stack
- Python, SQL
- AWS SageMaker, AWS
- Spark, Airflow
- PyTorch, Scikit-learn, Pandas, Keras
- DBT
Benefits & Compensation
- Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office depending on the role).
- Flexibility & Work-Life Balance: Flex My Way policies, work from anywhere for up to 8 weeks per year.
- Career Development and Growth: Grow My Way programming and skills-first approach.
- Industry Competitive Benefits: Flexible vacation, two company-wide Mental Health Days off, access to 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, belonging, flexibility, and work-life balance.
- Social Impact: Two paid volunteer days off annually, opportunities for pro-bono consulting and ESG initiatives.
- Compensation: For US locations: $118,400 USD - $219,800 USD. For Ontario, Canada: $100,000 CAD - $145,000 CAD.
Work Mode
This is a hybrid position open to candidates in the US and Canada.
Thomson Reuters is an Equal Employment Opportunity Employer providing a drug-free workplace and complies with local laws requiring upfront disclosure of pay ranges.
