1+ months

Lead Platform Engineer-62300H

New York, NY 10007

Lead Machine Learning Engineer 

About US 
We are looking for an incredibly bright Lead Machine Learning Engineer to help architect and grow the Lifion Platform Machine Learning capabilities.  

If you have passion and hands-on experience solving challenges using machine learning, a strong record of accomplishment architecting and deploying scalable production systems and want to make a substantial positive impact in people’s lives worldwide. In that case, this is an opportunity for you.  

The role involves application of machine learning and other related techniques in areas of natural language processing, predictions and recommendations for better decision making, customer service, security, and more. If you are the kind of person who thrives in a challenging environment and has creative expertise and a thirst for pushing the limits, we are interested in you!  


About You 

  • 5+ yrs experience as part of a data science, machine learning, team. 
  • Design, build, evaluate, ship, and refine the Lifion product by hands-on ML development. 
  • Collaborate with a cross functional agile team spanning data science, software development,s product management, SRE and engineering to build new product features that advance our mission to create HR software that's global, scalable, and mobile. 
  • Advanced proficiency in Python and supporting numeric libraries including NumPy and Pandas. 
  • Experience in machine learning frameworks & toolkits such as Tensorflow, Pytorch, Sklearn. 
  • Strong experience building applied machine learning products, including taking a product through design, implementation, and production. 
  • Experience in delivering products with large-scale and productizing machine learning algorithms using SDLC 
  • Fluent in writing efficient SQL queries 
  • Strong coding standards with focus on writing high quality production grade code 
  • Experience with building real-time inference systems 


Preferred Qualifications 

  • Demonstrated knowledge and ability working with AWS, Google Cloud, or other cloud-based solutions to train models, set up data pipelines, and set up inference engines. 
  • Experience with microservices and deployment of ML models using Kubernetes. 
  •  Experience working with AWS tools like AWS Sagemaker is a plus. 
  • Understanding/Knowledge of the following concepts: feature stores, data lineage, A/B testing, model scoring/feedback 
  • Familiarity with concurrent programming such as threads and asyncio 
  • Familiarity with training pipelines and implementing automated (re)training for ML models 



  • 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 get to the best solution.
  • Deliver at 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 )

Explore our COVID-19 page https://tech.adp.com/covid19/ to understand how ADP is approaching safety, travel, the hiring interview process, and more.

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP affirms that inequality is detrimental to our associates, our clients, and the communities we serve. Our goal is to impact lasting change through our actions. Together, we unite for equality and equity. ADP is committed to 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, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, 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 ADPs culture and our full set of values.



  • Other
Posted: 2022-06-03 Expires: 2022-09-03
Sponsored by:
ADP Logo

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Lead Platform Engineer-62300H

New York, NY 10007

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast