Second Spectrum is a Sports Emmy-winning data & tech company that is building the next way of seeing sports - by capturing and producing the highest quality data and innovative content for many of the world’s largest leagues and media partners, such as the NFL, NBA, English Premier League, ESPN, Amazon, and CBS Sports.

We are pushing the boundaries of deep tech -- machine learning, computer vision, big data, augmented and virtual reality. Our passion for cutting-edge design and decades of experience playing college and professional sports is an equal part of the magic that brings unique and innovative products to life. These products have helped Second Spectrum partners to multiple NBA championships, to win matches on football pitches around the world, to entertain and educate millions of fans on TV and digital. In 2021, Second Spectrum was acquired by Genius Sports, bringing together a unique combination of technological, operational and commercial capabilities. We're just getting started turning our joint vision of transformative sports technologies into reality. 

Second Spectrum is the place to be if you’re interested in working on cutting edge technology in sports, alongside incredibly driven and ambitious teammates. Our innovative and dynamic environment emphasizes opportunities for motivated individuals to maximize their growth and impact.

 

The Role: Machine Learning Engineer

Second Spectrum is looking for a Machine Learning Engineer to join our Artificial Intelligence group to develop advanced ML-based sports data products.

This role is based in our recently opened, global center, New York City office. Located in midtown Manhattan, amongst the iconic skyline, you'll be immersed in cultural richness that inspires innovation and creativity. Join our team and add your talents to building a hub for all of Genius Sports.

Specifically, you can expect to:

  • Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and related software systems to generate sports data and insights with high accuracy and low latency
  • Build, test, deploy and maintain production systems
  • 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

 

Minimum Qualifications

  • BSc or MSc or equivalent experience with a strong software engineering component
  • Experience with deep learning and some of the languages and technologies in our stack
  • 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

 

Preferred Qualifications

  • Experience with data pipelines, devops

 

Our Stack

  • Languages: Python, Rust
  • Frameworks: PyTorch, PyTorch Lightning, Keras, TensorFlow, scikit-learn, xarray, pandas
  • Infrastructure, tools: AWS (S3, EC2), Docker, Pulsar, Grafana, Pachyderm

 

Our Work Environment and What You Will Benefit From

  • Work on cutting-edge products for major professional sports leagues and teams.
  • Team-oriented engineering practices (readable, maintainable, and efficient code).
  • Flat hierarchy and collaborative management led by experienced and strong technical leads.
  • Innovative and dynamic environment, which encourages self-development and opportunities to make an impact.
  • Multicultural team with employees based across several countries (e.g., Switzerland, Denmark, France, United States).
  • Potential for Equity/Bonus, Flexible working hours, Competitive salary, Medical and dental benefits, 401k match

 

What’s in it for you? 

In addition to competitive salary and paid time off, our benefits include health insurance, skills training and much more, depending on the location. We also offer 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 - $180,000 A number of factors influence the specific  offer, including location, seniority, and relevant educational and working experience. 

 

How we work 

We have adapted a forward-thinking ‘Ways of Working’ framework, which sets out (amongst other things) the opportunities for Second Spectrum to work flexibly, remotely and on working holidays. It affects different teams and locations differently, so please ask for further information on how it would work with this role. 

Our employees stretch the boundaries of what’s achievable, always reaching further and pushing limits to see what gives. We collaborate, we innovate, and we celebrate. We will continue to grow as an organization and to invest in our highly talented and diverse team.

Second Spectrum, part of Genius Sports Group, is proud to be an equal opportunity employer. We recognize and celebrate the benefits that a diverse and inclusive workforce bring to our business, our customers, and our staff. We welcome and will consider all applications regardless of age, different abilities or disability, gender identity or re-assignment, 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. 

 

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Global D&I Demographics

At Genius Sports & Second Spectrum, we believe in better together, which means we don’t only value diversity, but we are determined to make sure that everyone here feels included and valued.

We invite all applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. All data that you provide will be completely anonymous, you will not be personally identifiable by any of the data you include.

This also means that if you choose to disclose a disability the Talent Acquisition team will not be able to identify you personally to assist with any measures that might help during the process.  Therefore, if you require any support throughout the application or interview process please ensure to reach out to the team directly and make them aware of any requirements, and we will do what we can to help.

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