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Machine Learning Engineer
  • Python
  • Spark
  • PySpark
  • Machine Learning
  • NLP
  • Deep Learning
Change Healthcare
Seattle, WA 98101
154 days ago

Transforming the future of healthcare isn’t something we take lightly. It takes teams of the best and the brightest, working together to make an impact.

As one of the largest healthcare technology companies in the U.S., we are a catalyst to accelerate the journey toward improved lives and healthier communities.

Here at Change Healthcare, we’re using our influence to drive positive changes across the industry, and we want motivated and passionate people like you to help us continue to bring new and innovative ideas to life.

If you’re ready to embrace your passion and do what you love with a company that’s committed to supporting your future, then you belong at Change Healthcare.

Pursue purpose. Champion innovation. Earn trust. Be agile. Include all.

Empower Your Future. Make a Difference.

Change Healthcare (Nasdaq: CHC) occupies a uniquely interconnected position at the center of healthcare, serving providers, payers, and consumers by using Artificial Intelligence (AI) and machine learning (ML) to identify inefficiencies and drive them out of the administrative processes in the healthcare system and, as a result, reduce costs and improve outcomes.

CULTIVATING A CAREER WITHIN CHANGE HEALTHCARE

Our culture is guided by our core values which are woven into the fabric of every aspect of our company; Pursue Purpose, Champion Innovation, Earn Trust, Be Agile, and Include All.

Our approximately 15,000 members are inspired by the opportunity to improve patient lives. We hire talented team members and support their growth with comprehensive benefits, training, and policies to achieve a healthy work/life balance. Join our team today where we are creating a better coordinated, increasingly collaborative, and more efficient healthcare system!

AI/ML – Senior Machine Learning Engineer

We are seeking a world class Senior Machine Learning Engineer to build Artificial Intelligence/Machine Learning platforms and solutions for Change Healthcare, reporting to an AI Engineering Lead under the Office of the Chief AI Officer. We’re looking for engineers with a passion for artificial intelligence to help drive a new generation of data and machine learning enabled services and products to impact the healthcare system.

Responsibilities:

In this role , you will enjoy working with a highly talented and diverse team of data scientists and engineers specializing in deep learning, active learning, and classical machine learning with one of the richest data sets in US healthcare, nearly limitless cloud compute resources including Spark clusters and GPUs, and the ability to support a large pipeline of AI models directly into business impact.

The ideal candidate will have a background in python, have experience working with large data sets, and have experience in building Machine Learning Platforms, applied Machine Learning and deploying data-driven solutions. You are focused on results, a self-starter, able to put the team-first, and have demonstrated success in using data science to develop and deploy solutions with a focus on impact.

Qualifications:

  • Experience rapidly deploying AI solutions to production on a DevOps-focused team
  • Experience in building ML models and Data Pipelines at scale
  • MS in Computer Science with 5 years experience or Phd with 2 years experience
  • Fluency in Python. Python3 experience preferred
  • Spark or Pyspark experience preferred
  • Proficiency using Kubeflow, Airflow or other workflows and Docker containerization
  • Ability to initiate and drive projects to completion with minimal guidance
  • The ability to communicate the results of analyses in a clear and effective manner
  • Preferred experience with tools such as SparkML/Kubernetes, some TensorFlow experience
  • Experience with large data sets and distributed computing (Spark)
  • Experience in AWS or GCP using tools such as EMR, S3, EC2, Deep Learning AMI’s, SageMaker
  • Above average capabilities with cloud computing techniques or tools such as S3, EC2, EMR, SageMaker, ECS, Docker, Gitlab CI, Python packaging, command-line executions and shell scripting
  • Knowledge of common data structures and ability to write efficient code in Python
  • Exceptional interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to all types of partners (product managers, engineers, designers, senior executives)
  • Deep expertise in two or more areas: conversational interfaces, NLP, machine learning, artificial intelligence (AI), deep learning, enterprise search/question answering, speech-to-text, data analytics.
  • Proven knowledge of ChatBot and hands-on experience utilizing frameworks like AWS Lex, Cortana, API.ai, wit.ai, or equivalents.

Join our team today where we are creating a better coordinated, increasingly collaborative, and more efficient healthcare system!

Equal Opportunity/Affirmative Action Statement

Change Healthcare is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, genetic information, national origin, disability, or veteran status. To read more about employment discrimination protections under federal law, read EEO is the Law at https://www.eeoc.gov/employers/eeo-law-poster and the supplemental information at https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf .

If you need a reasonable accommodation to assist with your application for employment, please contact us by sending an email to applyaccommodations@changehealthcare.com with "Applicant requesting reasonable accommodation" as the subject. Resumes or CVs submitted to this email box will not be accepted.

Click here https://www.dol.gov/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf to view our pay transparency nondiscrimination policy.

Change Healthcare maintains a drug free workplace and conducts pre-employment drug-testing, where applicable, in accordance with federal, state and local laws.

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