Senior Deep Learning Engineer developing player - tracking, evaluation, and forecasting models for SumerSports’ football intelligence platform. Driving research threads into production for NFL and NCAA teams.
About the role
- Senior Machine Learning Engineer building scalable recommender systems for Thomson Reuters’ legal, tax, compliance, government, and media platforms. Implementing secure ML products and infrastructure.
Responsibilities
- Develop and technically implement machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives
- Build scalable, dependable, reliable, resilient, and secure machine learning solutions
- Create and maintain technical outputs such as design documentation and representative models
- Establish machine learning best practices, technical standards, model designs, and quality control, including code reviews
- Provide expert oversight and implementation guidance
- Solve technical challenges
- Collaborate with cross-functional and product teams, business units, technical specialists, and architects to understand project scope, requirements, solutions, data, and services
- Support a team-focused culture of information sharing and diverse viewpoints
- Promote continual enhancement, learning, innovation, and deployment
Requirements
- At least 2 years of experience addressing practical machine learning challenges, particularly Recommender Systems
- Profound understanding of data processing, machine learning infrastructure, and DevOps/MLOps practices
- Minimum 2 years of experience with cloud technologies, including AWS SageMaker, services, networking, and security principles
- Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products
- Strong Python programming skills required
- SQL and data modeling expertise
- Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries
- Experience leading and supporting engineering teams
- Strong background in crafting data science and machine learning solutions
- Creative, resourceful, and effective problem-solving approach
Benefits
- Flexible hybrid working environment
- Work from anywhere for up to 8 weeks per year
- Flexible work arrangements and work-life balance policies
- Continuous learning and skill development
- Grow My Way programming and skills-first development approach
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Two paid volunteer days off annually
- Opportunities for pro-bono consulting projects and ESG initiatives
- Annual Bonus based on a combination of enterprise and individual performance
- Flexible and supportive benefits and other wellbeing programs
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Machine_Learning_Specialist / Data Scientist / AI Developer
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