Career Opportunity

Application Engineer

Application Engineer

About the job

The Opportunity

AI is rapidly changing the world. From processing job applications and credit decisions, to making content recommendations and helping researchers analyze genetic markers at scale -- many aspects of our daily lives are touched by machine learned systems in some way. 

Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build world class software that helps make AI work better.  

The Team

Our engineering team builds systems that interact with some of the most complex software  ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.

As we continue to innovate and develop our products, you will have the opportunity to solve a wide variety of problems and situations. On a typical day, you may go from debugging a subtle issue in an open source dependency to hopping on a call with a customer to understand their workflow. All without missing a beat. 

If you want to work in a high velocity, no ego environment -- this is the place for you! If you are someone who wants to have total ownership over your work and be challenged to take yourself to the next level -- we want to talk to you!

The Role

What You’ll Do

  • Provide Technical Support
  • Improve Existing Software
  • Debug, Test, and Develop Applications
  • Assess Customer Base
  • Become a power user of the Arize Platform and SDK
  • Lead the customer’s technical integration onto the Arize Platform 
  • Write documentation and tutorials for newly released features
  • Test and debug issues in our tech stack and collaborate with the core engineering team to fix them.

What We're Looking For

  • Experience with debugging, testing, code improvement and re-designing tasks.
  • Experience working in a UNIX environment with languages such as Python, Matlab, R, or Javascript. 
  • Familiarity with basic statistical and machine learning concepts. You understand what mean and standard deviation is. You know the basics of linear regression.
  • Experience working with technical customers. You can understand core requirements  in order to provide implementation recommendations to the customer as well as the engineering team.

Technologies You’ll Work With:

  • Python
  • Pandas, scikit-learn, and other common scientific / ML computing packages
  • Postgres
  • OLAP databases
  • GCP and associated services 

More About Arize

Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.

Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c 

Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup

 

 

More About Arize

Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.

Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c

 

Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup

Application for Application Engineer submitted!

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