Machine Learning Engineer

ActivTrak; Austin (TX); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in data analytics seeks a Machine Learning Engineer to join their Data Science team. This role involves researching, building, and deploying machine learning models to provide actionable insights from petabyte-scale data. The position emphasizes innovation and collaboration in a supportive environment, making it ideal for individuals passionate about ML and data-driven solutions.

Benefits

Competitive compensation and benefits

Remote work within the US

Minimal travel

Limited physical demands

Qualifications

• 3 years of experience in machine learning, data science, or related fields.
• Proficiency in Python and SQL for model development.
• Familiarity with Probability, Statistics, and Linear Algebra.

Responsibilities

• Research, build, and deploy machine learning models.
• Manage and optimize models in production.
• Collaborate with engineering and business teams.

Skills

Machine Learning

Data Science

Data Engineering

Python

SQL

Pandas

Regression Algorithms

Classification Algorithms

Model Evaluation Techniques

Supervised Learning

Unsupervised Learning

Probability

Statistics

Linear Algebra

Job description

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.