Now Hiring

RISA Labs,
Stanford Engineering & Sciences Career Fair 2026

Building agentic AI infrastructure for mission-critical institutions.
Starting with oncology where the stakes are highest and the complexity is immense, we're creating resilient, autonomous systems that power foundational workflows and accelerate human progress.

Backed by United Health Group and Cencora Ventures
Apply now
BOSS HACK | 14th Feb '26
Winners take Vegas.
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Opportunities at
RISA Labs

  • Research & Applied Science tracks
  • Open to Seniors, Juniors, Masters & PHD Students
  • No U.S. work authorization required
Open Roles
Job Descriptions:
01
AI Engineer
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Palo Alto / San Francisco, USA

At RISA Labs, we are building the future of mission-critical workflows using the latest advances in AI. Our mission is to solve humanity’s hardest challenges, starting with the high-stakes problems in Oncology.

Funding

RISA Labs is a Series A startup backed by institutional investors including Optum Ventures, Cencora Ventures, Oncology Ventures, and General Catalyst, as well as individual investors such as Binny Bansal, John Simons, z21 Ventures, and select angels.

The Opportunity
  • Design, develop, and deploy scalable backend systems with a strong emphasis on Python-based applications
  • Collaborate closely with product managers, researchers, and engineers to translate complex healthcare and AI problems into robust technical solutions
  • Participate in system design discussions and help build reliable, high-performance architectures
  • Debug, optimize, and improve system performance to meet both technical and business requirements
  • Learn continuously through mentorship, design reviews, and exposure to cutting-edge problems in healthcare and AI systems
What You’ll Bring
  • Deep understanding of computer science fundamentals, with the ability to reason from first principles and design scalable systems
  • Strong foundation in machine learning, deep learning, and NLP, with hands-on experience building or deploying LLM-based systems
  • Strong problem-solving skills with the ability to break down ambiguous problems into structured, scalable solutions
  • Experience with backend systems, scalable applications, or research-oriented development through projects or internships is a plus
02
AI Researcher
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Palo Alto / San Francisco, USA

At RISA Labs, we are building the future of mission-critical workflows using the latest advances in AI. Our mission is to solve humanity’s hardest challenges, starting with the high-stakes problems in Oncology.

Funding

RISA Labs is a Series A startup backed by institutional investors including Optum Ventures, Cencora Ventures, Oncology Ventures, and General Catalyst, as well as individual investors such as Binny Bansal, John Simons, z21 Ventures, and select angels.

The Opportunity
  • Conduct applied and exploratory research in machine learning, deep learning, and NLP, with a strong focus on LLM-based systems
  • Design, run, and analyze rigorous experiments to understand model behavior, limitations, and failure modes in high-stakes healthcare settings
  • Author research papers and publish at major machine learning and AI conferences and journals
  • Stay current with the research literature and contribute original ideas that advance the state of the art in healthcare AI
What You’ll Bring
  • Strong foundation in machine learning, deep learning, and NLP, with hands-on experience working with modern LLMs
  • Demonstrated experience writing research papers or contributing to industry research
  • Strong problem-solving skills with the ability to frame ambiguous real-world problems as well-defined research questions
  • Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow
  • Prior publications, preprints, or research experience through internships, labs, or open-source research is a plus
03
Applied Scientist
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Palo Alto / San Francisco, USA

At RISA Labs, we are building the future of mission-critical workflows using the latest advances in AI. Our mission is to solve humanity’s hardest challenges, starting with the high-stakes problems in Oncology.

Funding

RISA Labs is a Series A startup backed by institutional investors including Optum Ventures, Cencora Ventures, Oncology Ventures, and General Catalyst, as well as individual investors such as Binny Bansal, John Simons, z21 Ventures, and select angels.

The Opportunity
  • Implement, adapt, and optimize state-of-the-art models from research literature for real-world healthcare use cases
  • Design and run experiments to validate research ideas under real-world data, scale, and reliability constraints
  • Develop robust training, evaluation, and inference pipelines for LLM-based and multimodal systems
  • Optimize models and systems for performance, latency, cost, and reliability in production environments
What You’ll Bring
  • Strong foundation in computer science and machine learning fundamentals, with the ability to reason from first principles
  • Solid understanding of modern machine learning, deep learning, and NLP, especially LLM-based systems
  • Strong engineering skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
  • Strong problem-solving skills and comfort operating in ambiguous, fast-moving environments
  • Experience working on applied ML systems, production pipelines, or research-to-production projects is a plus
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BOSS hack

No Rules. Just Hack.
14th Feb, 2026
Win an all-expenses paid trip to Las Vegas
RISA Hacker House
555 Lytton Ave Palo Alto, CA