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Leads a strategic insights team analyzing product development productivity, operating models, workflows, and AI adoption. Frames hypotheses, conducts quantitative analysis and experiments, evaluates delivery and business outcomes, and translates findings into executive recommendations. Partners with Product Operations, Technology, Product, and Finance to implement actions, track adoption, and measure results. Establishes analytical standards, communicates with senior leaders, and develops a high-performing analytics team.
Top Skills:
Generative AiMachine LearningNatural Language ProcessingPythonSQL
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Architects complex technical configurations and leads enterprise, multi-location implementations of drive-thru and digital menu board technology. Manages rollouts from design through go-live, resolves advanced hardware, software, and networking escalations, and coordinates with corporate IT, Product, Integrations, Sales, and franchise stakeholders. Provides internal QA, mentors peers, improves deployment workflows, and mitigates risks across large enterprise deployments.
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Leads learning design for K-8 digital education content initiatives from brief through launch. Develops instructional frameworks, assessment items, content specifications, quality standards, and grade-band differentiation. Provides feedback and upskills learning designers, partners with product and editorial teams, and contributes to AI-assisted content workflows through prompt design, output evaluation, and quality rubrics. Requires strong assessment writing, curriculum expertise, standards knowledge, initiative leadership, and experience designing for multilingual learners.
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We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:
- Play a key role in architecting the algorithms and models that will power our products
- Train on a dedicated high-performance compute cluster specialized for deep learning research
- Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
- Remain an active contributor to the research community by partnering with universities and publishing high impact papers
Who we are:
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.
Responsibilities
- Develop highly scalable classifiers and detectors that solve real-world problems
- Learn and understand a large body of research in deep learning and machine learning
- Participate in cutting-edge research for medical applications of computer vision
Must Have Experience
- Experience with deep learning and convolutional networks
- Strong theoretical and empirical research background
- Fluency with a deep learning framework and Python
Nice to Have Experience
- Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
- Large scale machine learning experience working with terabytes of data
- Implemented custom operations/modules in a deep learning framework
- Imagination, ambition, and curiosity
Whiterabbit.ai Santa Clara, California, USA Office
Santa Clara, CA, United States
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
