{bc}
Apply
company_site

Manager Machine Learning Engineering

Paylocity
Remote, USA
Full-time
Senior · 5+ years experience
Remote
USD 185400-344400 yearly / year
Discovered 5 days ago

Full Job Posting

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 infrastructure and solutions that impact millions of employees every day.
  • Build and evolve AI platforms that scale across products, domains, and teams at Paylocity.
  • Own and drive end-to-end ML tooling and automation, from infrastructure and data pipelines to model deployment, monitoring, and optimization.
  • Collaborate with data science and engineering teams to drive adoption of best practices in MLE while contributing to the development of formal training programs and materials for MLE tool adoption.
  • Influence and collaborate with other teams across Product & Technology (e.g. Data Engineering, Cloud Center of Excellence, Platform teams, Architecture Review Board, etc.) to ensure alignment and integration of ML capabilities.
  • Influence business strategy by leveraging data and metrics and presenting recommendations and insights to Dir+ leadership.
  • Mentor, coach, and develop teams, fostering technical excellence, professional growth, and leadership capabilities.
  • Oversee and manage multiple projects simultaneously, ensuring alignment with company objectives, resource optimization, and timely delivery.
  • Establish best practices for scalable and reproducible machine learning development, deployment, and governance.
  • Continuously assess team outcomes, processes, and quality to drive improvements.
  • Stay at the forefront of AI and ML advancements, ensuring the team continuously evolves by incorporating the latest technologies, methodologies, and best practices.

Education and Experience

Bachelor’s degree in a quantitative field is required

5+ years of hands-on AI/ML success at software companies

2+ years of experience managing and leading data teams, with demonstrated success in coaching, mentoring, and developing talent

Experience in writing production grade machine learning infrastructure and/or models in Python

Hands-on experience with cloud infrastructure on AWS (Glue, EMR, Lambda, etc.) and infrastructure-as-code tooling

Familiar with cloud-based source code management, continuous integration, continuous delivery, and other software development best practices (GitHub Actions, TeamCity, Octopus, Jenkins, etc.)

Demonstrated ability to lead high-performing teams, inspire others, and drive business results

Skilled at translating business problems into data/ML problems and communicating the results to non-technical audiences

Self-motivated, adaptable, and highly detail oriented

Must have a strong sense of curiosity and a willingness to learn

Exceptional verbal and written communication skills

Preferred Skills

  • Advanced degree (Master's or PhD) preferred in machine learning engineering, computer science, engineering, data science, statistics, mathematics, or another quantitative field.
  • Professional or academic experience in HR, social science or psychology
  • Be invested in staying current in AI/ML by applying new technologies and practices

Physical requirements

  • Ability to sit for extended periods: The role requires sitting at a desk or workstation for long periods, typically 7-8 hours a day.
  • Use of computer and phone systems: The employee must be able to operate a computer, use phone systems, and type. This includes using multiple software programs and inquiries simultaneously.

Paylocity is an equal-opportunity employer.

Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better.

We embrace and encourage our employees’ differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers.

We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact [email protected]. This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed.

The base pay range for this position is $185,400 - $344,400/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual bonus and restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Base pay information is based on market location. Applicants should apply via www.paylocity.com/careers.

#LI-Tech #LI-Remote

At Paylocity, “We” is what makes us different. We are committed to fostering a culture that honors diverse opinions, perspectives, and backgrounds, knowing that each makes us stronger and collectively unbeatable together. We actively cultivate these differences as we engage each other in driving innovation in the software and services we provide our customers. Paylocity is an equal opportunity employer. If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7427.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Paylocity

Enterprise HCM Account Executive

, USA

Discovered TodayFull-time

HCM Account Executive

, USA

Discovered 3 days agoFull-time

Large Enterprise Sales Development Representative

, USA

Discovered 3 days agoFull-time

Spend Management Account Executive

, USA

Discovered 5 days agoFull-time

Temporary Travel and Expense Analyst

, USA

Discovered 5 days agoContract

HCM Account Executive

, USA

Discovered 5 days agoFull-time

Implementation Project Manager Ops

, USA

Discovered 5 days agoFull-time

Anaplan Systems Analyst

, USA

Discovered 5 days agoFull-time