Senior Machine Learning Engineer

About This Role

Lead the development and deployment of Machine Learning solutions, infrastructure, and tooling to enable data-driven decisions and insights at scale for millions of Paylocity users. Collaborate with data scientists and other technical teams to enhance product features and improve infrastructure.

Responsibilities

• Collaborate with internal teams such as Data Science, Data Engineering, CCOE, DevOps, and Delivery Platforms to align ML engineering solutions with business objectives.
• Leverage cutting-edge big data technologies on AWS utilizing Databricks and Spark to develop scalable and efficient machine learning solutions for millions of users.
• Create automated data and modeling pipelines, ensuring smooth integration and deployment of machine learning software features.
• Lead the optimization of CI/CD workflows, ensuring scalability and resilience while addressing complex automation challenges.
• Proactively identify and resolve issues/bugs, ensuring AppSec vulnerabilities are identified and corrected.
• Drive the adoption of best practices in machine learning engineering across teams, contributing to formal training programs and materials.
• Actively participate in cross-functional meetings and discussions, providing feedback, commentary, requirements, and questions.

Requirements

• Experience in building production-grade machine learning models and infrastructure in Python.
• Strong background in advanced Python and big data technologies.
• Experience with cloud infrastructure (i.e., AWS, GCP, or Azure).
• Demonstrated experience with Infrastructure as Code (IAC) tools (i.e. CDK, Pulumi, etc.).
• Demonstrated ability to leverage machine learning engineering to drive business results.
• Skilled at translating business problems into machine learning engineering problems and communicating the results to non-technical audiences.
• Strong understanding of data engineering and software engineering fundamentals.

Qualifications

• Bachelor’s degree with 5 years of machine learning engineering at software companies; or, advanced degree (master’s or PhD) in machine learning engineering, data engineering, computer science, engineering, statistics, mathematics, data science, or other quantitative field, with no additional experience required.
• 5 years of machine learning engineering experience at software companies, or an advanced degree with no additional experience.

Nice to Have

• Professional or academic experience in HR, social science or psychology
• Contributions to open-source software in Python
• Enthusiasm for machine learning and infrastructure to enhance customer experience
• Investment in staying current with ML and infrastructure technologies and practices

Skills

* Required skills

Benefits