The Research Scientist Intern will architect algorithms, train AI models, collaborate with healthcare professionals, and publish research in medical AI applications.
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
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Leads Compensation Operations for monthly commission and compensation processing serving approximately 1,500 agents and managers. Oversees an eight-person team, ensures accurate and timely monthly close, drives process improvement and automation, promotes AI adoption, reconciles transactions across finance systems and carrier statements, partners with compensation design and technology teams, and advises organizational leadership on compensation operations.
Top Skills:
Artificial IntelligenceCompensation Technology
.png)
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Design and develop scalable cloud-based backend architectures for PSA’s consumer-facing Set Registry platform. Own features through architecture, implementation, testing, deployment, and production release. Build APIs for web and mobile applications, improve databases and existing applications, troubleshoot complex systems, and collaborate with product and engineering teams. Contribute to technical design reviews, documentation, monitoring, security practices, and automated testing.
Top Skills:
Amazon Api GatewayAmazon EcsAmazon EventbridgeAmazon SnsAmazon SqsAws CdkAws CloudformationAws LambdaBatch ProcessingDockerDynamoDBEvent-Driven ArchitecturesKubernetesMicroservicesPostgresPythonRest ApisTerraform
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.
Top Skills:
C++Computational GeometryLarge Language ModelsLinear AlgebraMachine LearningNumpyPandasPythonPyTorchRosScipySQLStatistical ModelingTime-Series AnalysisVision-Language Models
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
