YOU LIVE AND BREATHE SPORTS. SO DO WE.
Senior Applied ML Engineer
Location
United States
Posted
98 days ago
Salary
$180K - $200K / year
Seniority
Senior
No structured requirement data.
Job Description
Senior Applied ML Engineer
DICK'S Sporting Goods
At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve. If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today! OVERVIEW: About GameChanger: We believe in the life changing impact youth sports have on and off the field. Sports encourage leadership, teamwork, responsibility, and confidence – important life lessons that have the power to propel our youth toward meaningful futures. We recognize that without coaches, parents, and volunteers, organized youth sports could not exist. By building the first and best place to experience the youth sports moments important to our community, we are helping families elevate the next generation through youth sports. So if you love sports and their community building potential, or building cool products is your sport, GameChanger is the team for you. We are a remote first, dynamic tech company based in New York City, and we are solving some of the biggest challenges in youth sports today. The Position: The Computer Vision Platform team at GameChanger builds and operates the real-time inference infrastructure that delivers CV-powered experiences to millions of users every weekend. You'll partner directly with researchers to shape their models and code for production, steer them toward existing platform capabilities, and collaborate with MLOps engineers to evolve infrastructure where gaps exist. You'll also influence the technical direction of the platform itself, identifying which capabilities to build next based on patterns you see across research efforts. You'll report directly to the Engineering Manager, CV Platform. What You'll Do: - Work directly with CV researchers to understand their goals, review their code, and engineer it for reliability and performance at scale. - Profile and optimize performance-sensitive code across both training and real-time inference. - Identify patterns across research efforts and propose standardized, composable abstractions. - Collaborate with MLOps and backend engineers to translate recurring research pain points into platform investments through design documents and architecture proposals. - Guide researchers toward production-oriented engineering practices regarding testability, modularity, and performance profiling. Who You Are: - 6+ years of software engineering experience, with 4+ years working on ML systems. - Experience working on production ML systems. Our team uses Python and PyTorch, Docker for containerization, and deploys on AWS. - Experience with data-intensive distributed systems, including optimizing I/O, GPU utilization, and parallel processing. - Experience working directly with researchers or research teams to take their prototypes and deliver production systems that are performant, reliable, and maintainable. - Experience building internal libraries, tools, or platforms that other engineers depend on. Perks: - Work remotely throughout the US* or from our well-furnished, modern office in Manhattan, NY. - Unlimited vacation policy. - Paid volunteer opportunities. - Technology stipend - $4,000 every 2 years after your start to make sure you have the latest and greatest technology. - WFH stipend - $500 annually to make your WFH situation comfortable. - Monthly physical, mental, wellness & learning stipend offered through Holisticly. - Monthly lifestyle stipend offered through Fringe. - Full health benefits - medical, dental, vision, prescription, FSA, HRA, HSA, and coverage for family/dependents. - Retirement savings - Traditional and Roth 401K plans are offered through Vanguard, with an immediate company match. - Life insurance - basic life, supplemental life, and dependent life. - Disability leave - short-term disability and long-term disability. - Company paid parental leave - up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents. - Family building benefits offered through Progyny. - DICK'S Sporting Goods and their family of brands teammate discount. The target salary range for this position is between $180,000 and $200,000. This is part of a total compensation package that includes incentive, equity, and benefits for eligible roles. Individual pay may vary from the target range and is determined by several factors including experience, internal pay equity, and other relevant business considerations. We constantly review all teammate pay to ensure a great compensation package that is fair and equal across the board. * DICK'S Sporting Goods has company-wide practices to monitor and protect the company from significant compliance and monetary implications as it pertains to employer state tax liabilities. Due to said guidelines put in place, we are unable to hire in AK, DE, HI, IA, LA, MS, MT, OK, and SC. We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Our Interview Process & AI We recognize that AI has become a common part of everyday life and professional work, and its use continues to evolve rapidly. Our perspective on AI in the hiring process will evolve as well. At this time, we ask that candidates please refrain from using AI tools during interviews and assessments, as we want to see your authentic self. We will clearly indicate if and when AI use is acceptable in the process. If you have any questions or need accommodations, we're here to help. Thanks for helping us keep the process fair and secure for everyone! IMPORTANT NOTICE: All official recruitment communications from GameChanger will come from an email address ending in @gc.com or no-reply@ashby.hq.com. If you receive communication from any other domain, please be cautious, as it is likely fraudulent. QUALIFICATIONS: - Bachelor's Degree or Master’s Degree in Computer Science, or equivalent work experience - 3-6 years of experience in software engineering - TypeScript - React JS / Kotlin / Swift - Postgres - AWS VIRTUAL REQUIREMENTS: At DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments. To ensure a smooth and secure experience, please note the following: - Cameras must be on during all virtual interviews. - AI tools are not permitted to be used by the candidate during any part of the interview process. - Offers are contingent upon a satisfactory background check which may include ID verification. If you have any questions or need accommodations, we’re here to help. Thanks for helping us keep the process fair and secure for everyone!
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• Develop, train, and optimize machine learning models for various mobile app features. • Research and implement state-of-the-art AI techniques to improve user engagement and app performance. • Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. • Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. • Analyze large datasets to derive insights and drive data-driven decision-making. • Stay updated with the latest AI trends and best practices, incorporating them into our development processes. • Optimize AI models for mobile environments to ensure high performance and low latency.
• Develop, train, and optimize machine learning models for various mobile app features. • Research and implement state-of-the-art AI techniques to improve user engagement and app performance. • Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. • Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. • Analyze large datasets to derive insights and drive data-driven decision-making. • Stay updated with the latest AI trends and best practices, incorporating them into our development processes. • Optimize AI models for mobile environments to ensure high performance and low latency.
