Open Source Fullstack Engineer

The Opportunity

AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.

Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.

About Arize Phoenix

Large Language Models (LLMs) like GPT4 are capable of human and super-human reasoning, but they don’t understand your personal data, are unable to perform complex tasks, remember the actions they performed yesterday, and so on. The core mission of the Arize OSS team is to enable developers to build LLM-powered applications with safety and observability in mind.

We are at the forefront of a new way to build software. Doing this successfully will usher in a new age of knowledge automation and completely redefine the modern tech stack.

Our product offerings consist of an open-source Typescript libraries as well as an enterprise platform. Arize Phoenix has hundreds of thousands monthly downloads and is used from large enterprises to early-stage startups - it is both easy to get started but robust for production use. We’re backed by TCV, Foundation Capital, Swift Ventures, and Battery Ventures.

Qualifications

Experience that would be helpful for this role:

  1. Shipped web applications or completely new product features from scratch. Have gone from prototype to production serving end users in a short amount of time.
  2. Shipped AI/LLM-native applications - from UX to core algorithms.
  3. Iterated rapidly with customers - translate user feedback into features back to proactive user discovery. Help jointly develop and iterate on product roadmap for core features.
  4. Worked with product and design, and also demonstrated instances of wearing the PM hat yourself to proactively scope and design features.
  5. Shipped applications that scaled to millions of users.
  6. [Bonus] machine learning experience.

Values that we look for:

  1. Integrity, Alignment, and Passion
  2. Adaptability and the ability to work with limited resources
  3. Intellectual Horsepower (Smart x Get Things Done)
  4. Level up the people around you
  5. Domain specific knowledge

What You’ll Work On

  • [Primary] Front-end/full-stack work for our OSS offering.
    • FE stack React, GraphQL, etc. 
    • Backend stack: Python, Nodejs, Docker, Cloud services, databases, etc. etc.
  • [Secondary] General feature development, maintenance, and education for our open-source libraries (Python and Typescript)

What We’re Looking For

  • This is NOT a role for everyone – it demands an exceptional level of drive and commitment. In return you can expect world class mentorship and opportunities to accelerate your career in the most important field in software today. You should be comfortable with:

    • Taking ownership of complex problems from day one
    • Putting in the extra effort to learn new technologies rapidly
    • Pushing yourself outside your comfort zone regularly
    • Maintain high standards of code quality despite being new to the industry
    • Think critically about system and product design rather than just following instructions

Location:

The estimated annual salary and variable compensation for this role is between $100,000 - $185,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

 

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

We believe in the power of diverse teams of doers and thinkers. We are immigrants who want to accomplish great things; outsiders who want to take big risks to achieve the impossible; taste makers who aren't afraid of having an opinion and doing what it takes to make it happen. All of us wear multiple hats everyday not only because we know that is what it takes to succeed, but also because it is what makes being part of a team so rewarding. We’re striving to both recruit and retain a diverse workforce by investing in the growth of our employees, promoting an inclusive environment, and continuously iterating on ourselves and the way we work so that we can all do the best work of our careers here. Together. At Arize AI, You will be given the agency to make a big impact. You can expect to be given the opportunity to grow the scope of your responsibility limited only by your own ambition. You will be expected to be humble, open, collaborative, and kind. You will be expected to be maniacally empathetic of the end-user and the current problems that our world faces so that we can make AI work for the people.

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