×
Register Here to Apply for Jobs or Post Jobs. X

Manager Machine Learning Engineering

Remote / Online - Candidates ideally in
Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: Praxis, Inc.
Full Time, Remote/Work from Home position
Listed on 2026-10-27
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 185000 - 344000 USD Yearly USD 185000.00 344000.00 YEAR
Job Description & How to Apply Below
Job Type

Full-time

Description

Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture.

While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce.

We give our employees what they need to succeed, including great benefits and perks! We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that support you, your family, and your finances. And if it’s career development you desire, we provide that, too! At Paylocity, people matter most and have always been at the heart of our business.

Product

& Technology Role

Help Paylocity enhance communication and enable employees to connect, collaborate, and create from anywhere with a position in Product & Technology!

Want to develop the strategies and principles needed to deliver compelling software? Join our team and help us enhance our all-in-one software platform, elevate our one-of-a-kind technology, and improve the employee experience?

Take your career to the next level at one of G2's Top 100 Software Companies. Explore our Product & Technology positions to see where you fit!

This is a fully remote position, allowing you to work from home or location of record within the U.S. with no in-office requirements. You must be available five days per week during designated work hours. The work arrangement for this role is subject to change based on business needs and individual performance. This may include adjustments to on-site requirements.

Manager, Machine Learning Engineering

Position Overview

Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users.

Our Team Is
  • Building infrastructure that can power ML and AI features for millions of users
  • Building and deploying platform-wide recommendations to help companies follow HR best practices and allow employees to get the most out of our platform (Paylocity AI page)
  • Baking AI Ethics into all our processes as a first-class citizen (Blog Post)
  • Working in a collaborative fully remote environment with a desire to share ideas and continuously improve
  • Invested in staying current in machine learning engineering by applying the newest tools, technologies, and practices
  • Excited to work on cutting-edge technology!
Primary Responsibilities

The Manager, Machine Learning Engineering (MLE) has a critical role in our Product and Technology organization. This role requires strong technical expertise as well as strong people and project management experience. This leader will be responsible for helping shape the direction of AI/ML initiatives and driving delivery of business outcomes, while actively investing in the growth and development of team members through coaching, mentorship, and career planning.

This position requires commitment to exceptional results, a strong desire for continuous improvement, and the ability to build a collaborative high performing culture within and across teams.

A MLE Manager Will Be Expected To
  • Independently lead Machine Learning Engineering teams in the development and enhancement of our machine learning…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary