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Lifion By ADP is transforming a world of HR pain into useful tools & meaningful experiences.
 
Engineering, Full Time    New York    Posted: Wednesday, November 28, 2018
 
   
 
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JOB DETAILS
 

Senior Machine Learning Engineer

Summary

We are looking for an incredibly bright Senior Machine Learning Engineer to join our growing Platform Machine Learning engineering team.

If you have passion & hands-on experience solving real-world business challenges using machine learning in large scale systems, a strong track record building deep learning models & deploying them in production, & want to make a huge positive impact in peoples lives around the world, then this is a great opportunity for you.

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

Our platform teams are comprised of talented Software Engineers who get a thrill out of solving hard problems, working in a full stack environment, delivering quality code at scale, & enhancing performance & functionality. If this is you, let us know & you can be a part of it.

Responsibilities

  • Work with our engineering & product teams, translating their requirements & applying the latest machine learning techniques to solve real business problems, improve our platform, & develop new capabilities
  • Participate in interviews & help build a world-class team of engineers
  • Design, build, & train custom models & evaluate model performance
  • Help the team deploy production ready models to customers, to learn from customer feedback & make frequent model improvements
  • Contribute to the overall architecture & implementation of our ML infrastructure, data pipelines, inference engine(s), APIs, & products
  • Collaborate with our engineering & product teams to understand their machine learning related needs & to provide guidance & support where necessary
  • Provide mentoring & technical direction for more junior team members where needed
  • Follow best practices & share them with the team
  • Participate in functional, technical, & code reviews
  • Work in an Agile environment




Minimum Qualifications

  • 3+ years of hands-on experience working with neural networks & other statistical techniques & successfully delivering & running such systems in production
  • A Masters or Ph.D in Computer Science or related field, concentration in Machine Learning is preferred
  • Hands-on experience with ML infrastructure development & support using cloud computing technologies
  • Fluent in using a neural network framework such as TensorFlow, Caffe, PyTorch, or Theano with understanding of back-propagation & other mathematical concepts employed by modern ML methods
  • Fluent in Python, including experience with packages such as NumPy & pandas
  • Proficient with SQL, notably writing & optimizing queries

Preferred Qualifications

  • Experience in data engineering & architecture
  • Experience in applying machine learning for a global-scale enterprise or consumer application
  • Demonstrated knowledge & ability working with AWS, Google Cloud, or other cloud-based solutions to train models, set up data pipelines, & set up inference engines
  • Experience in microservices, Kubernetes, Docker, or other containerizers
  • Working knowledge of Node.js, JavaScript, & related technologies & frameworks
  • Experience with developing ML methods in Jupyter Notebooks environment
  • Experience with developing NLP models, e.g. for chatbots or automated assistants
  • Knowledge of Continuous Integration & Delivery methodologies
  • Excellent problem-solving skills especially debugging of complex software systems
  • Excellent written & verbal communication skills
  • A passion for applying latest technologies into the development of innovative features & products
  • A collaborative attitude & demonstrated team-working ability
  • Self-motivated with a strong passion for learning




 
 
 
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