Machine Learning Scientist

Machine Learning Scientist

Remote, USA | $180,000 - $200,000

This is an opportunity to join a highly regarded Machine Learning team where experimentation, statistical rigor, and model innovation sit at the heart of the business. You'll work on large-scale machine learning challenges, own projects from concept through production, and contribute to systems that make millions of automated decisions every year.

The Company

They are a fast-growing technology business operating in the risk intelligence and e-commerce space, helping online businesses make better decisions through advanced machine learning.

• Machine learning is a core product differentiator and a key driver of company growth.
• Operates at significant scale, processing billions of data points and transactions globally.
• Strong investment in ML infrastructure, tooling, and experimentation frameworks.
• Collaborative environment that values scientific thinking, technical excellence, and innovation.
• Remote-first culture with distributed teams across the United States and Europe.

The Role

As a Machine Learning Scientist, you will develop and improve production machine learning systems that solve complex business problems.

• Design, build, and deploy machine learning models used in high-volume production environments.
• Develop experimentation frameworks and evaluation methodologies to improve model performance.
• Research and implement new machine learning techniques, architectures, and infrastructure improvements.
• Work with large-scale distributed data platforms using Spark and modern ML tooling.
• Partner with Product, Engineering, and business stakeholders to translate real-world challenges into data-driven solutions.

Your Skills & Experience

This role is best suited to someone with a strong blend of machine learning research capability and production experience.

• Strong commercial experience building and deploying machine learning models in production.
• Deep understanding of statistics, experimental design, model evaluation, and machine learning theory.
• Hands-on ownership of experimentation, including designing approaches from first principles rather than relying solely on pre-built models or APIs.
• Strong coding skills in Python and SQL, with experience working in distributed computing environments using Spark.
• Advanced academic background in Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative discipline is highly valued.

How to Apply

If you are interested in applying cutting-edge machine learning techniques to complex real-world problems in a highly collaborative environment, please apply to learn more about this opportunity.