AI Product Engineer, New Grad

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.

The Role

We are looking for exceptionally motivated new graduates to join our high-performing team. While this is an entry-level position, our expectations are anything but. You'll be working alongside senior engineers who will challenge you to grow rapidly and take on significant responsibilities from day one.

We are a fully remote company with offices in the Bay Area and New York City.

What You’ll Work On

You will be a part of the core team that drives AI product innovation at Arize. You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM-powered applications, and how to build the right tools to enable them to do their best work.

Our product solutions range from clean APIs that magically instrument applications, interactive playgrounds for prompt engineering and agent development, to scaling up real-time evaluation infrastructure to handle millions of annotations per second.

Most of our code is written in Go, but we also work with Python, Java, and TypeScript.

This isn't a typical new grad role where you'll be relegated to simple tasks – you'll be diving into complex technical challenges like:

• Computing model evaluation metrics across billions of data points
• Creating AI Agents that help customers troubleshoot their own applications
• Building on top of a cutting-edge custom OLAP database
• Implementing advanced dimensionality reduction techniques
• Building systems that handle millions of annotations per second

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
• Maintaining high standards of code quality despite being new to the industry
• Thinking critically about system and product design rather than just following instructions

What Will Set You Apart

• Experience working with GraphQL or a comparable API technology
• Experience working with ML, analytics, data science or data visualization products
• Working knowledge of machine learning and/or data science
• First-hand experience working with large language models (LLMs) or developing AI products

Compensation and Benefits

The estimated annual salary and variable compensation for this role is between $100,000 - $135,000, plus a competitive equity package.

Total compensation also includes:

• Medical, dental, and vision benefits
• 401(k) plan
• Unlimited paid time off
• Generous parental leave plan
• Mental health and wellness support
• WFH monthly stipend for co-working spaces
• Option to work from offices in NYC and the Bay Area

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, yet it is incredibly difficult to understand why machine learning models behave the way they do once deployed.

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

Diversity and Inclusion at Arize

We aim to make AI work for everyone, and addressing bias is a key motivator for our team. Our culture is inclusive, collaborative, and mission-driven.

• Regular chats with industry experts, researchers, and ethicists on responsible AI
• Culturally conscious events, like LGBTQ trivia during Pride Month
• Active internal community such as the Lady Arizers subgroup