Machine Learning Engineer

About Us :

Live experiences help people cross today's digital divide and focus on what truly connects us â?? the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.

With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

The Role :

The Machine Learning team is responsible for designing, developing, and deploying cutting-edge AI / ML solutions, owning the full lifecycle from ideation to production. In this role, you will work closely with the ML Platform and Data Science teams to maximize the impact of ML across every area of the business. This is an opportunity to join a growing team and help shape its future direction.

Key Responsibilities :

• Designing & Implementing AI / ML Solutions : Lead the design and implementation of robust, scalable, and high-performance machine learning applications that power critical user experiences and business operations.
• End-to-End Ownership : Take ownership of the full machine learning lifecycle for various applications, working closely with data scientists, product managers, and backend engineers to define problems, develop solutions, and measure impact.
• Driving Business Impact : Identify opportunities to apply machine learning to solve complex business challenges, directly contributing to key metrics such as user engagement, conversion,  and overall revenue.
• Leveraging & Contributing to ML Platform : Partner with the Machine Learning Platform team to utilize existing infrastructure and provide critical feedback and requirements to shape the platform's future direction.
• Setting Technical Standards : Champion best practices for MLOps, code quality, testing, and deployment, ensuring the reliability and maintainability of our ML application stack.
• Evangelize ML throughout the organization : Communicate results and methodology effectively within the team and to external stakeholders

Key Competencies : Technical Skills :

Interpersonal Skills :

Problem-Solving and Decision-Making :

Minimum Qualifications :

Preferred Qualifications :

Performance Metrics :

Direct

Business impact (NARPAU, GMV, Revenue)

What We can Offer : Flexible PTO

Competitive salary & equity package

Monthly Gametime credits for any event ($1,200 / yr)

Medical, dental, & vision insurance

Life insurance and disability benefits

Diverse Family-forming benefits through Carrot Fertility

401k, HSA, pre-tax savings programs

Company off-sites and meet-ups

Wellness programs

Tenure recognition

At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills / capabilities, experience, and available budget.

United States - Pay Range

195,000

230,000 USD

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.