Machine Learning Engineer, Gametime
Platform
$195-230k
Last-minute ticket platform
Open for applications
Last-minute ticket platform
201-500 employees
Open for applications
$195-230k
201-500 employees
Company mission
To build technology that gets people out into the real world together.
Role
Who you are
- Proven track record in designing and implementing mission-critical, high-reliability systems with rapid deployment
- Outstanding programming proficiency, with particular expertise in Python
- Strong working knowledge of AWS or equivalent cloud platforms
- Hands-on experience with industry-standard tools and technologies (e.g., Kafka, Docker, gRPC, DynamoDB, Redis, Temporal, Snowflake, Airflow, SQL)
- Keen interest in machine learning and its associated technologies (such as PyTorch, Scikit-Learn, XGBoost, Jupyter), preferably with some practical experience
- Ability to collaborate effectively across teams and communicate with key stakeholders
- Experience: 5+ years of industry experience
- A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibility
- Education: Bachelors in Computer Science or similar
What the job involves
- The Machine Learning Platform team is responsible for building the core components necessary to support and accelerate the full machine learning lifecycle
- In this role, you will work closely with ML Engineers and Data Scientists as well as the Data Platform and Backend Engineering teams to maximize the impact of ML
- At Gametime, the modeling teams are expected to work full-stack and end-to-end
- This requires reliable, powerful infrastructure and abstractions provided by the Machine Learning Platform team
- This is an opportunity to join as a founding member of the team and help shape its future direction
- Collaborate with Machine Learning Engineers and Data Scientists to understand their platform needs and translate them into powerful, generalized solutions
- Own existing platform systems and develop the next generation of tools (e.g. training platform, feature platform, inference platform)
- Architect a platform that boosts overall model iteration speed and allows Machine Learning Engineers and Data Scientists to work in a self-serve manner
- Improve the reliability around all components of an ML platform capable of powering critical product features used by millions of users
Our take
Gamtime is a last-minute event ticketing platform that aims to stand out from the myriad of other similar apps by allowing customers to buy a ticket after the event has started. The reason for this is that ticket prices for sports often fall dramatically after the game has started, making the most of the easy-to-use, quick-buy app's features.
Though this may only cater to a small percentage of its customers, it exemplifies a certain boundary pushing from the company. This is clearly something that the market supports, given its substantial fundraising from the likes of Bolt Ventures and Maven Ventures. In addition, Gametime’s position as both a seller and buyer marketplace has placed it in a great position as a commentator on live events, collecting valuable data.
With the demand for great-value event tickets likely to continue to grow, Gametime is in a prime position to capitalize on this trend. Although the company only sells tickets for the North American continent, it is seeing huge revenue across the sports, theatre, and music concert markets - and aims to use its funds to further enhance its products and market its app to younger eventgoers.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
38% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2022
$30m
EARLY VC
Sep 2017
$8.2m
EARLY VC
Total funding: $71.5m
Company benefits
- Health Benefits: Medical, dental, and vision coverage for you and your dependents
- Equity: An ownership stake in the company you'll be helping to build
- Flexible PTO: 'Take what you need' vacation policy (we actually mean it)
- Remote First: Fully remote company
- Remote Work stipend: Monthly stipend to offset the cost of internet and any home office updates
- Paid Parental Leave: Peace of mind for parents to dedicate their time to the care of their new child
- Gametime Credit: Monthly Gametime credit to experience the product for yourself
- Team Celebrations: Company meetups and events in different cities across the US
Company values
- Above & Beyond: We don't settle. You'll find us going the extra mile for our users, our partners, and each other
- One Team, One Dream: We're in it together. We celebrate wins and learn from our failures as a team
- Always be Curious: We challenge the status quo every day and expect that you will, too
Company HQ
Yerba Buena, San Francisco, CA
Articles
Leadership
Brad Griffith
(Founder & CEO)Currently Visiting Lecturer at Stanford Graduate School of Business. Previously worked in Growth, iOS Development and Interactive Marketing at Zappedy, and was a Quantitative Researcher at LOLapps.
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