Machine Learning Engineer - Remote

Overview

The Data Science Team focuses on building models that leverage Payscale’s five core compensation datasets to provide accurate, high coverage estimates of compensation ranges for jobs across industries and the globe. We use modeling techniques such as Bayesian statistics (regression, hierarchical modeling, and transfer learning), deep learning (NLP, LLMs, and embeddings), and recommendation systems to model how different jobs are related to each other in order to produce good compensation range predictions. We do a mix of development on well-defined projects and greenfield innovation. We build internal tools (APIs and interactive demos (using e.g. Streamlit) to exhibit our work. We value teamwork, learning together, maintainability, documentation, and giving clear presentations about our work to non-ML stakeholders. We are generalist problem solvers—we use (or learn!) the best tool for the problem.

In Short

• You will design and build machine learning models in production-grade Python code.
• Provide compensation estimates in low-data scenarios.
• Quantify the impact of skills and other compensable factors on pay.
• Collaborate with domain experts, software engineers, designers, and product managers.
• Present findings to a technical, but non-ML-trained audience.
• Work with a codebase in Python running on cloud infrastructure.
• Participate in code reviews and mentoring Data Analysts.
• Engage in team learning workshops focused on state-of-the-art NLP techniques.
• Drive the productionization of models with the Data Engineering Team.
• Document findings and identify avenues for model improvement.

Requirements

• 3+ years building and maintaining machine learning models.
• Fluency in Python, including object-oriented programming, pandas, and scikit-learn.
• Experience with ML platforms like AWS Sagemaker or Azure ML.
• Proficiency in SQL (joins, grouping, ordering, views).
• Experience with supervised and unsupervised learning techniques.
• Able to articulate technical concepts to non-technical colleagues.
• Comfort with version control and environment management.

Benefits

• Flexible paid time off and 14 paid company holidays.
• Comprehensive benefits plan including medical, dental, and vision insurance.
• 401(k) retirement program with company match.
• 16 weeks of paid parental leave.
• Annual remote work stipend for wellness or home office equipment.
• Access to continued learning and development opportunities.
• A growing network of Employee Resource Groups.
• Company-sponsored volunteer hours.
• Open and inclusive work environment.
• Monthly company All Hands meetings.