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SeniorFull-timePythonAWSDockerMachine LearningData SciencePyTorchAIML
Salary Range
$59,670 - $80,730 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer to join Sportradar's AI unit, an established team of AI experts working on the design, development and deployment of AI models that deepen our understanding of sports and enable new sports technology products.
Key Responsibilities
- →Analyze, explore and visualize datasets using statistical analysis and scripting
- →Develop and train machine learning models, specializing in deep learning methods for sequence modeling
- →Design, train, and iterate on representation learning solutions optimized for modeling sports data
- →Develop data processing pipelines for training models from scratch
- →Validate methods, models, algorithms, and hypotheses using back-testing
- →Optimize models for efficient GPU-accelerated inferencing
- →Bring models into production leveraging internal AI platform
- →Collaborate with stakeholders to connect model outputs to product experiences
- →Present ideas and solutions to software developers and business stakeholders
Requirements
- ✓Knowledgeable in modern machine learning techniques with strong fundamentals in deep learning for sequence modeling
- ✓Strong programming skills and software development experience
- ✓Hands-on experience working with spatiotemporal data and building models from complex structured inputs
- ✓Proficiency with Python and common ML tooling like PyTorch and PyTorch Lightning
- ✓Solid understanding of data engineering basics
- ✓Experience working with cloud services (AWS) and container-based development
- ✓Ability to use JIRA, plan and structure work
- ✓Bachelor of Science in Computer Science / Engineering, Mathematics / Statistics, or related field
- ✓5+ years of hands-on experience in engineering, with 3+ years in a machine learning / data science role
- ✓Must be comfortable with using AI coding tools and agentic technologies
- ✓Fluent in English (written and spoken)
- ✓Autonomous, rigorous, creative and a team player
Benefits
- ★Collaborative environment with colleagues from around the world
- ★Flexibility to manage your workday and tasks with autonomy
- ★Balance of structure and autonomy to tackle daily tasks
- ★Vibrant and inclusive community
- ★Global Employee Assistance Programme
- ★Well-being apps
- ★Online training videos
- ★Flexible working hours
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