Machine Learning Engineer

AI overview

Develop and deploy advanced machine learning models to deliver actionable insights for thousands of customers, while navigating petabyte-scale data challenges.

As a Machine Learning Engineer on our Data Science team at ActivTrak, you'll be at the forefront of our AI/ML driven analytics initiatives. You will research, build, and deploy cutting edge ML models that deliver critical business value and actionable insights.

This role presents an exciting opportunity to tackle petabyte-scale data challenges, working with millions of events daily across thousands of customers. Your responsibilities will span the entire ML lifecycle, from sourcing and transforming raw data into robust features to managing and optimizing models in production.

You'll thrive in a collaborative environment, partnering closely with engineering and business teams to translate complex data into clear answers for our customers' most pressing questions. Prior experience in the end-to-end research, development, and production deployment of high-impact ML models is highly valued.

Requirements

Required Qualifications:

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

Preferred Qualifications:

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

Benefits

Work environment:

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

This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company. If you have a proven track record of creative thinking, a drive for learning, and a deep commitment to collaboration, we want to talk to you! 

ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, age, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Perks & Benefits Extracted with AI

  • Limited physical demands: Limited physical demands
  • Remote-Friendly: The position is remote within the US

ActivTrak is a product-led, innovative software company that introduced it’s award-winning workforce analytics platform in 2015. Our cloud-based platform provides productivity insights into how teams work, improving employee and customer experience, while also enabling better business outcomes. At ActivTrak, we recognize the powerful link between these two concepts and we're on a mission to understand it more every day.We are a fast-growing, agile company with a forward-thinking, inclusive culture. Our teams are encouraged to collaborate daily to solve challenges, create and champion new ideas, and execute initiatives that help global customers and their modern workforces succeed by working better together. People are the backbone of ActivTrak. It’s important that we take care of ourselves and make an effort to get to know one another. We have team members located across the United States (and soon, the entire globe) so we must be intentional about how we work with one another. This is an incredible opportunity to embark on an exciting journey with an early-stage, dynamic VC-backed company. If you have a positive attitude towards urgency, risk, and challenges that comes with working in a startup environment, then you will be a great fit!

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