Gametime's Machine Learning Platform team is responsible for building the core components necessary to support and accelerate the full machine learning lifecycle, enabling modeling teams to work full-stack and end-to-end with reliable, powerful infrastructure and abstractions.
Requirements
- 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
Responsibilities
- 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
Other
- Ability to collaborate effectively across teams and communicate with key stakeholders
- 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
- 5+ years of industry experience
- Bachelors in Computer Science or similar
