The Opportunity
AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, multi-agent systems, human quality voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.
Arize is the leading AI observability and Evaluation platform to help AI teams discover issues, diagnose problems, and improve the results of their AI Applications. In short: we are here to build world class software that helps make AI applications work better.
The Role
The DNA of the Arize brand is one of learning, education and analysis. The Research Engineer role leads the Arize research projects. Arize research projects are chosen based on new areas of interest by the industry and new AI models that have been released, how those relate to real on the ground problems. The Arize AI research generated is designed to be done 10x faster than traditional research, allowing for the velocity of AI subjects to be covered at the pace the industry is moving. The research is also designed to be consumed in social media, blogs and open source forums, in a way that the community can truly connect with it. This role reports through product and engineering but serves a goal of bottoms up developer awareness.
What You’ll Do
- Create awareness through thought-provoking research that educates AI developers
- Shape initial ideas that turn into larger research projects based on holes in industry knowledge and recently developed or released AI models
- Execute research in weeks not months
- Practice the idea of both rigor and review but do it at speeds that are 10x faster than typical research
- Write up research for social media posts, blogs and external events
- Plan and speak at Arize-hosted and industry events and conferences on research you are working on.
- Build an AI twitter research presence that speaks to the AI community through social channels
What We’re Looking For
- 3+ years experience working as a Developer Advocate, Data Scientist, AI/ML Engineer,or Solutions Engineer
- Working knowledge of generative AI, machine learning, and data science
- Technical experience with the LLM app development stack (e.g. agents, orchestration frameworks, vector databases, evaluation libraries) with proficiency in Python
- A data-driven creative who thrives in ideating and delivering on novel activities that earn the attention and trust of AI/ML practitioners
- A self-learner who isn’t daunted by technical complexity and welcomes the challenge to develop their own POV
- Excellent written and verbal communication
- Willingness to attend evening meetups and events in the SF Bay Area
The estimated annual salary for this role is between $100,000 - $210,000, 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
