Chartbeat is looking to solve the problem of helping content creators around the world better connect with their audiences by expanding the ecosystem of insights provided to enterprise content creators who are developing audiences and revenue streams across channels.
Requirements
- Strong Python proficiency
- Proficiency with advanced SQL querying and knowledge of common data warehouse environments, such as Snowflake, or similar
- Experience working with modern ML and data tooling (Such as PyTorch, TensorFlow, Spark and MLFlow)
- Experience implementing and scaling LLMs or foundation models in production environments is a plus
- Experience working with data pipelines that support multi tenant usages with different databases (such as Snowflake/BigQuery etc) for large, high-scale applications
- Theoretical knowledge of statistical and machine learning algorithms
- Knowledge of Kubernetes, Kafka
Responsibilities
- Contribute to the design, development, and deployment of machine learning systems at scale
- Collaborate with product managers and cross-functional engineering teams to deliver ML and generative AI powered features
- Explore, Experiment and Prototype upcoming generative AI technologies to solve complex business challenges
- Help define and drive the technical roadmap for ML and AI initiatives
- Ensure models are explainable, maintainable, and effectively monitored in production
- Contribute to architectural decisions and long-term planning for ML infrastructure
- Participate in the engineering on-call rotation to maintain the reliability and performance of production systems
Other
- 5+ years working as a machine learning engineer, ideally within a B2B SaaS environment
- Undergraduate or graduate degree in a mathematics, computer science, or engineering-related discipline
- Comprehensive Health, Dental, and Vision Insurance
- 401K with company match (100% of the first 3% and 50% of the next 2%)
- Flexible work hours
