Research Scientist Intern at Uniphore in Palo Alto, CA

Summary: Uniphore is one of the largest B2B AI-native companies, focused on driving business outcomes through innovative AI solutions. The Research Scientist Intern will work on developing foundational machine learning technology to enhance Business AI capabilities and collaborate with research scientists and engineers to address key research challenges. Responsibilities: - You will be working on a challenging research project on a topic at the intersection of your research interests and Uniphore’s business interest - You will work closely with Uniphore research scientists, other research interns, as well as Uniphore 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 Required 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 - Experience in designing experiments and statistical analysis of results - Experience in implementing algorithms using toolkits and self-developed code 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 at fast-growing companies or startups, or working in an agile environment Required Skills: Algorithm skills, Data structure skills, Python, SQL, Machine Learning fundamentals Important Skills: Statistical analysis, Experiment design Nice-to-Have Skills: Agile environment experience, Communication skills Benefits: Annual incentive opportunity based on target achievement, Pre-IPO stock options, Benefits including medical, dental, vision, 401(k) with a match, Generous paid time off, Paid holidays, Paid day off for your birthday, Other paid leave policies to support employees through all phases of life