Senior Machine Learning Engineer

ADP; New York (NY); On-site; USD 127,000 - 184,000; Full time

Job summary

ADP is seeking a Senior Machine Learning Engineer to join their New York City team. The successful candidate will design machine learning models and collaborate with multiple stakeholders to drive innovative solutions. This role offers a competitive salary and engaging work environment focused on collaboration, learning, and personal growth.

Benefits

Medical, Dental, Vision Insurance

Matched Retirement Savings

Wellness Program

Paid Volunteer Time Off

Charitable Contribution Match

Qualifications

• Bachelor's degree in Computer Science or related field plus five years of experience or a Master's with two years.
• Experience in Javascript, React, Python, AWS, Docker, Kubernetes, and Agile methodologies.

Responsibilities

• Design and implement machine learning models for business solutions.
• Collaborate on developing machine learning pipelines using Python and PyTorch.
• Document technical designs and communicate solutions effectively.

Skills

JavaScript

React

GoLang

RDBMS

NoSQL

GIT

Jenkins

Ansible

Python

Agile software methodology

Docker

Kubernetes

RESTful APIs

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Job description

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This range is provided by ADP. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$127,771.00/yr - $183,700.00/yr

Applications for this role will be accepted on an ongoing basis.

ADP Technology Services, Inc. seeks a Senior Machine Learning Engineer in our New York City, NY location.

• Are you empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day?
• Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging?
  
  

Well, this may be the role for you! Ready to design what’s next?

To thrive in this career, you’ll need to be enthusiastic, eager to learn, and take on stretch assignments. You strive to learn new technologies and find ways to incorporate what you learn into building your results. You’ll be curious, persistent, and at times persuasive.

• Influence and inspire confidence. You are comfortable presenting to senior leaders, product owners, and peers with a compelling voice that you demonstrate through executive presence, leading change, and creating clear executive-level communications on milestone achievements.
• Challenges. Inevitable challenges will arise, and we’ll rely on you to look for a solution.
• Responsibilities. Responsibilities: Responsible for designing and implementing machine learning models system for various business problems. Collaborate with data scientists, software engineers, product managers, and other stakeholders to understand business requirements and translate them into technical solutions. Develop and maintain high-performance, scalable machine learning pipelines using tools such as PyTorch, TensorFlow, or scikit-learn. Evaluate model performance and identify areas for improvement through data analysis and statistical testing. Collaborate with data scientists to develop innovative machine learning solutions that drive business value. Work with software engineers to integrate machine learning models into our product architecture and ensure seamless deployment and maintenance. Document and communicate technical design decisions and best practices to stakeholders across the organization. Continuously improve skills and stay up-to-date with the latest advancements in machine learning and AI.
  
  

To Succeed In This Role

• Education and Qualifications/Skills and Competencies. Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related field of study plus five (5) years of related experience required. The company will also accept a Master's degree and two (2) years of related experience.
• Work Experience. Two (2) years of experience must include: Javascript; React; GoLang or Node JS technologies; RDBMS and NoSQL databases (MySQL or DynamoDB); GIT; Jenkins; Ansible; Public Cloud (AWS or Azure); Python; GraphQL; Unix shell scripting; Agile software methodology, including Scrum, Kanban, and Lean; Docker/Kubernetes; RESTful APIs; and Cypress Test Framework.
  
  

You’ll Love Working Here Because You Can

• Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another’s ideas to find the best solution.
• Deliver at an epic scale. We deliver real user outcomes using strong judgment and good instincts. We’re obsessed with the art of achieving simplicity with a focus on client happiness and productivity.
• Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.
• Act like an owner & doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.
• Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP’s Philanthropic Foundation.
• Join a company committed to equality and equity. Our goal is to impact lasting change through our actions.
  
  

What are you waiting for? Apply today!

Find out why people come to ADP and why they stay: https://youtu.be/ODb8lxBrxrY

(ADA version: https://youtu.be/IQjUCA8SOoA )

For more information please visit: jobs.adp.com

#DNS

Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions. We offer the following benefits: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short-and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more. The compensation for this role is $127,771.00 - $183,700.00 / Year

A little about ADP: We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition.

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.

Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Human Resources Services

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