The Team 

We are passionate about large-scale data systems, leveraging best-in-class technologies such as Snowflake, Kubernetes, Kafka, and Python. Machine Learning is a vital part of Chartbeat’s Data Engineering organization, focused on curating, enriching, and modeling data to power intelligent features, drive product discovery, and apply Large Language Models (LLMs) to real-world applications and strategic business decisions. 

Responsibilities

As a Machine Learning Engineer at Chartbeat, you will:

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

About You

5+ years working as a machine learning engineer, ideally within a B2B SaaS environment 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, as evidenced by an undergraduate or graduate degree in a mathematics, computer science, or engineering-related discipline

Compensation and Benefits:

We are proud to offer our team members a competitive compensation plan that includes: 

Comprehensive Health, Dental, and Vision Insurance 401K with company match (100% of the first 3% and 50% of the next 2%)                     Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents Phone and internet stipend Wellness, learning, and coworking reimbursements Flexible work hours Unlimited PTO 11 paid holidays and December holiday closure Company-wide outings The compensation range for this position is $170,000 - $185,000