Machine Learning Engineer

Summary

Join ActivTrak's Data Science team as a Machine Learning Engineer and be at the forefront of AI/ML-driven analytics initiatives. Research, build, and deploy cutting-edge ML models that deliver critical business value and actionable insights. This role involves tackling petabyte-scale data challenges, working with millions of events daily. Responsibilities span the entire ML lifecycle, from data sourcing and transformation to model optimization in production. You will collaborate with engineering and business teams to translate complex data into clear answers for customers. Prior experience in end-to-end ML model development and deployment is highly valued. This remote position offers competitive compensation and benefits and minimal travel.

Requirements

• Have 3 years of experience in one or more of the following areas: machine learning, data science, data engineering, or a related technical field
• Be proficient in using Python and SQL for model development and data analysis
• Have experience leveraging libraries and tools for dataframes and vectors (Pandas, Polars, etc)
• Have experience with Classification and Regression algorithms
• Have experience with Model evaluation techniques
• Have familiarity with Supervised and Unsupervised learning approaches
• Have familiarity with Probability, Statistics, and Linear Algebra

Responsibilities

• Research, build, and deploy cutting-edge ML models that deliver critical business value and actionable insights
• Tackle petabyte-scale data challenges, working with millions of events daily across thousands of customers
• Span the entire ML lifecycle, from sourcing and transforming raw data into robust features to managing and optimizing models in production
• Partner closely with engineering and business teams to translate complex data into clear answers for our customers' most pressing questions

Preferred Qualifications

• Have familiarity with timeseries datasets
• Have familiarity with leveraging LLMs and the concepts behind RAG
• Have familiarity with working in Cloud Platforms (GCP a plus)
• Have familiarity with using Docker and deploying to Kubernetes
• Show interest in Agentic AI

Benefits

• Competitive compensation and benefits
• The position is remote within the US
• Minimal travel