Research Scientist (Intern)

Orby builds the next-generation Automation AI platform to automate repetitive processes. It provides a unique “observe, learn, and automate” end-to-end experience powered by an actions-based foundation model. Orby observes a user’s activities, identifies repetitive work steps, and generates the suggestions that ultimately automate these tasks. Moreover, Orby works behind the scenes to continuously learn from human feedback, becoming smarter with no coding involved.

The two founders have unparalleled domain knowledge and AI expertise - Bella Liu led AI product and business development teams at UiPath (enterprise automation leader) from early stage through IPO and Will Lu led the engineering teams at Google building successful enterprise AI products over the last decade. Throughout beta development, Orby has partnered with some of the world’s largest organizations to deploy the product and save users valuable time. They also hired world-class engineering, research, and design talent from Google, Microsoft, Meta, and Stanford who have extensive experience building cutting-edge technologies. Orby recently raised a Series A round from top VCs with a strong track record of backing category-defining companies.

Location: Mountain View, CA

You will be working on developing new foundational machine learning technology behind a category-defining product - AI Automation will be a cornerstone in every enterprise in the world. Humans should not do soul-crushing repetitive and tedious work! It is the perfect time to build as the foundation model technology is at the tipping point to take automation to the next stage. If you are ready to take on the challenge of building the foundation model that enables a wide suite of capabilities around AI Automation, human-AI interaction, and grounded multimodal reasoning, etc.,, come join Orby! 

Responsibilities

• You will be working on a challenging research project on a topic at the intersection of your research interests and Orby’s business interest

• You will work closely with Orby research scientists, other research interns, as well as Orby machine learning engineers to define the problem and develop solutions

• The ideal outcome of your internship project is either a research paper submitted to top-tier conferences or journals, or a standalone system that demonstrates improvements in key research engineering tasks

We're Eager to Work with

• Want to join our mission to use AI to optimize efficiency and help people save time

• Individuals with an unwavering customer focus, committed to crafting experiences that delight.

• Those who embrace excellence and consistently deliver top-tier work.

• Innovators who thrive on creative thinking and daring to tread new paths.

• Owners at heart, ready to take responsibility and drive results.

• Individuals of the highest integrity, who foster trust and honesty.

Where We Work

• We work in a hybrid model. During the week we’re in the office three days a week. During the day we have core hours when everyone is expected to be available. We are currently hiring in Mountain View, CA, although we do sometimes make exceptions. 

Minimum Qualifications

• Strong algorithm, data structure and coding skills

• Strong with Python, SQL, and ML fundamentals

• Enrolled in a PhD or Master’s degree program in Computer Science, Machine Learning, Operations Research, Statistics, or related fields

Preferred Qualifications

• Demonstrated track record of excellence (e.g., publications at top-tier peer-reviewed conferences or journals) and desire to grow

• Strong communication skills, verbal and written

• Experience in designing experiments and statistical analysis of results

• Experience in implementing algorithms using toolkits and self-developed code

• Experience at fast-growing companies or startups, or working in an agile environment