Machine Learning Engineer

(Open to US-Based Remote candidadtes)   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, MLB, English Premier League, ESPN, Amazon, and CBS Sports. In 2021, Second Spectrum was acquired by Genius Sports. Powered by an incredibly driven and ambitious team, Second Spectrum is the place to work if you’re interested in cutting edge technology in sports. Our innovative and dynamic environment emphasizes opportunities for motivated individuals to maximize their growth and impact.   The Role ($125K-$180K base salary, depending on experience) Second Spectrum is looking for a Machine Learning Engineer to join our Artificial Intelligence group to develop advanced ML-based sports data products.   Responsibilities Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and software that can 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 Our Stack Languages: Python, Rust Frameworks: PyTorch, PyTorch Lightning, Keras, TensorFlow, scikit-learn, xarray, pandas Infrastructure, tools: AWS (S3, EC2), Docker, Pulsar, Grafana, Pachyderm Requirements 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 Nice to haves Experience with data pipelines, devops 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.