Career Opportunity

Senior Backend Engineer

Senior Backend 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 are an engineer who wants 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

  • Write maintainable, scalable performant GO
  • Build high volume and high availability analytics systems 
  • Own projects from inception to release

What We’re Looking For

  • Experience writing go, python, java, or similar server programming languages
  • Experience writing concurrent and distributed programs
  • Built and operated a SaaS platform
  • Comfort working in a linux environment
  • Experience with database management systems

Bonus Points, But Not Required

  • Experience with distributed stream processing (Kafka, Gazette, or similar)
  • Experience with Public Cloud (e.g. AWS / GCP/ Azure)
  • Experience with Kubernetes or other container orchestration
  • Experience with OLAP systems
  • Familiarity with system observability tooling like Prometheus
  • Working knowledge of Machine Learning

Technologies You’ll Work With:

  • Kubernetes
  • Postgres
  • Messaging systems
  • Go, Java, Python
  • Bazel
  • AWS, GCP

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. 

If a machine learning team doesn’t have the tools to answer basic questions about a model’s performance metrics, how could they even attempt to answer more complex questions about the impact of these systems on the communities they are meant to serve?

From that passion emerged Arize, a machine learning observability platform to help unpack the proverbial AI black box. Our solutions provide ML teams the tools they need to understand whether their models are performing as expected in production and quickly get to the cause behind issues that emerge.

Arize was recently recognized by Forbes as one the Top 50 AI companies to watch in 2021. 

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

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

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