Senior Software Engineer, Soccer Data Products
Los Angeles, California, United States
Full Time Senior-level / Expert USD 125K - 200K
Genius Sports
Genius Sports captures, processes and activates sports data across performance analysis, fan engagement, advertising and sports betting.
A bit about us
Genius Sports is at the forefront of the sports technology landscape, delivering real-time data and innovative digital solutions that connect sports, brands, and fans worldwide. From data capture to distribution, we are an integral partner to sports leagues and federations—including the NFL, English Premier League, FIBA, and NCAA—ensuring that critical data and cutting-edge products reach millions of users.
If you want to be part of a passionate global team shaping the future of sports entertainment, then come and join us. We foster an environment where creativity, collaboration, and continuous learning drive innovation for our partners and end-users.
Role: Senior Software Engineer, Soccer Data Products
We are looking for a Senior Software Engineer to join our Soccer Data Products group, building and maintaining our systems to extract and deliver insights using high-volume and low-latency soccer tracking data.
Responsibilities & duties:
- Develop, test, and maintain production systems that utilize high-volume, low-latency live player tracking data to empower live decision making.
- Coordinate development with related engineering, product and operational teams
- Develop, document, and communicate processes for operational staff
- Understand both business and sport-related needs for our products and make technical decisions to ensure optimal outcomes from the technology
- Maintain and promote best practices for software development, including deployment process, documentation, and coding standards
- Contribute to technical and product discussions, and share knowledge and ideas with colleagues across the company
Our Stack:
- Languages, frameworks: Rust, Python, GLTF/3D modeling
- Frameworks: PyTorch, PyTorch Lightning, Keras, TensorFlow, scikit-learn, xarray, pandas
- Infrastructure, tools: AWS (S3, EC2), Docker, Pulsar, Grafana
Minimum Qualifications:
- Minimum 4 years of software or machine learning engineering experience
- Experience with our languages and technologies in our stack
- Experience building highly performant software systems using Rust
- Experience building systems that parse and manipulate large datasets
- Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
- Strong communication skills when discussing technical concepts with technical and non-technical colleagues
- Self-motivation and ability to work independently in an efficient manner
- Flexibility and availability for work on-call, outside of regular work hours, as needed to support live sports
- Experience playing or coaching soccer at an amateur, competitive, or semi-professional level
- Knowledge of soccer terms and concepts
Preferred Qualifications:
- Experience working with relevant datasets, e.g. skeletal pose data and/or soccer player tracking data
- Expertise with live and realtime data parsing and processing pipelines
- Experience leading software projects and being responsible for complex production software
As a general approach, we interview for aptitude over specific technologies or languages. Please be prepared to speak to anything listed on your resume or in your portfolio.
What’s in it for you?
As well as a competitive salary and annual leave allowance, our benefits include health insurance, skills training and much more, depending on the location. We also offer a host of softer benefits, including many social events throughout the year such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities.
The base salary range for this role is $125,000 - $200,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.
How we work:
Genius will be returning to the office 4 days a week, and this will give you the opportunity to work collaboratively face-to-face with colleagues in our Los Angeles office.
Our employees are empowered to stretch the boundaries of what’s achievable, always reaching further and pushing the edges to see what gives. We collaborate, we innovate, and we celebrate. We will continue to grow as an organization and continue to invest in our highly talented and diverse team of Geniuses.
Genius Sports Group is proud to be an equal opportunities employer. We recognize and celebrate the benefits that a diverse and inclusive workforce brings to our business, our customers and our staff. We welcome and will consider all applications regardless of age, different abilities or disability, gender reassignment, marriage, pregnancy, maternity, race or nationality, religion or belief, sex and sexual orientation (and any other applicable status). Please let us know when you apply if you need any assistance during the recruiting process due to a disability.
Tags: AWS Docker EC2 Engineering Grafana Keras Machine Learning Pandas Pipelines Pulsar Python PyTorch Rust Scikit-learn TensorFlow
Perks/benefits: Career development Competitive pay Health care Insurance Team events Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.