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Radical Numerics, Inc

Product Manager

San Francisco, CA · On-site

About Us Radical Numerics is an AI research lab building general biological intelligence. Our mission is to master the code of life, and our purpose is to reduce human suffering. Our team created Evo ...

P-1 AI

AI Research Director

San Francisco, CA · On-site

We closed a $23 million seed round led by Radical Ventures that also included a number of AI luminaries (from OpenAI, DeepMind, etc.). About the role: We believe the magic happens at the intersection ...

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As of Jun 27, 2026, the average hourly pay for radical ai in the United States is $56.39, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $62.74 per hour, depending on experience, location, and employer.

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A Radical AI refers to artificial intelligence systems that go beyond conventional approaches, often challenging existing social, ethical, and technical norms. Radical AI can involve reimagining how AI is designed, implemented, or governed to promote fairness, inclusivity, and transformative change. This concept often includes critical perspectives on power, bias, and societal impact, seeking to create AI technologies that serve the broader public good rather than just commercial interests. Radical AI is also associated with interdisciplinary research and activism, focusing on how AI can be used as a tool for social justice.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence (AI) Engineer, and why are they important?

To thrive as an AI Engineer, you need strong skills in programming (such as Python or Java), mathematics, statistics, and a relevant degree in computer science, engineering, or a related field. Experience with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and certifications in AI or data science are highly beneficial. Problem-solving, effective communication, and adaptability are crucial soft skills for collaborating with multidisciplinary teams and translating complex concepts into practical solutions. These abilities ensure the development of robust AI systems that address real-world challenges efficiently and ethically.

What is the difference between Radical Ai vs Data Scientist?

AspectRadical AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related field; experience with AI frameworksDegree in Computer Science, Statistics, or related field; proficiency in programming and analytics
Work EnvironmentTech companies, AI startups, research labsCorporate, consulting firms, research institutions
Industry UsageDeveloping AI solutions, machine learning modelsAnalyzing data, building predictive models, data analysis

Radical Ai professionals focus on creating advanced AI systems and machine learning models, often working in innovative tech environments. Data Scientists analyze data to extract insights and build models but may not specialize solely in AI development. While both roles require programming skills and a background in data or AI, Radical Ai roles are more specialized in AI development, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges faced when working in a Radical AI research and development team?

Professionals in Radical AI often tackle complex, open-ended problems that have no clear-cut solutions, which can be both intellectually stimulating and challenging. Collaborating with multidisciplinary experts—ranging from ethicists to engineers—requires strong communication skills and adaptability. Additionally, keeping up with rapid advancements in AI technology and ensuring that research aligns with ethical standards can be demanding. The work environment is typically highly innovative and fast-paced, with frequent brainstorming sessions and iterative project cycles.

What is a Radical Ai job?

A Radical AI job typically involves developing and applying artificial intelligence in unconventional or transformative ways to challenge existing norms, promote ethical considerations, or drive social change. It often intersects with research, activism, policy-making, and creative problem-solving. Professionals in this field work to ensure AI technologies are inclusive, transparent, and aligned with human values.

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Infographic showing various Radical Ai job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $117,282 per year, or $56.4 per hour.

Member of Technical Staff, Computational Biology

Radical Numerics, Inc

San Francisco, CA • On-site

Full-time

Posted 6 days ago

Job description

About Us
Radical Numerics is an AI research lab building general biological intelligence. Our mission is to master the code of life, and our purpose is to reduce human suffering.
Our team created Evo, and started the field of generative genomics. Our work was featured on the cover of Science, and presented by our CEO on the main stage of TED2025. Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome from scratch. Evo 2, featured in Nature, is the largest fully open source AI project across any domain.
Radical Numerics is bringing the rigor of distributed systems, model architecture, and numerics research to the challenges of biology. We've redesigned the foundation model training stack to turn the world's raw scientific data (e.g. biological sequences, experiments, and physical processes), into intelligible, generative models that can expand and accelerate what humanity can understand, design, and cure.
The same generative breakthroughs that enable life-saving cures also lowers the barrier to creating engineered threats and AI-generated bioweapons. We believe these forces are inseparable. Radical Numerics was founded to develop both the power to design and the responsibility to defend.
About the Role
As a science-focused Member of Technical Staff, you will curate the multimodal biological datasets that power our models, analyze model behavior, and ensure our model outputs meet rigorous scientific standards. You'll co-develop benchmarks, filters, and validation pipelines with engineering peers so biological world models remain trustworthy and actionable.
What You'll Do
  • Source, normalize, and steward large-scale genomic, epigenomic, transcriptomic, proteomic, and imaging datasets with rigorous metadata and provenance.
  • Build evaluation suites and benchmarks that stress-test generative biological models across modalities and tasks.
  • Partner with AI engineers to analyze model outputs, run ablations, and surface insights that guide future architecture and training improvements.
  • Integrate new datasets and annotations from external collaborators while maintaining compliance, privacy, and ethical standards.
  • Communicate findings and best practices across Radical Numerics so teams can trust and act on model results.
What We're Looking For
  • PhD in genetics, computational biology, or a related field, OR demonstrated experience in biotech with a strong track record of impact over 3+ years.
  • Proven experience curating, harmonizing, and analyzing large biological datasets (e.g., genomics, single-cell, spatial, or imaging).
  • Fluency with Python, data tooling, and reproducible workflows (git, notebooks, containers).
  • Ability to interrogate model outputs, debug unexpected behaviors, and translate findings into actionable recommendations.
  • Clear communicator who can bridge scientific context with engineering teams and partner organizations.
  • Curiosity and resilience when tackling open-ended scientific challenges.
Nice to Have
  • Familiarity with generative model evaluation, red-teaming, or safety analysis in scientific domains.
  • Experience with statistical validation, quality control, or benchmarking for scientific or ML systems.
  • Experience building benchmarking frameworks or open datasets that became community standards.
  • Contributions to shared analytics tooling or reproducible research pipelines.

Why Radical Numerics
  • Help produce the multimodal biological world models that will power rapid detection, response, and countermeasures across global health.
  • Collaborative culture that values rigor, creativity, and cross-disciplinary partnership across AI labs, biotechs, hospital systems, and national research institutes.
  • Competitive compensation, comprehensive benefits, and support for continual learning.

Radical Numerics is committed to equal employment opportunity and does not discriminate in any employment opportunities or practices based on an individual's race, color, creed, gender (including gender identity and gender expression), religion (all aspects of religious beliefs, observance or practice, including religious dress or grooming practices), marital status, registered domestic partner status, age, national origin or ancestry (including language use restrictions and possession of a driver's license issued under California Vehicle Code section 12801.9), natural hair, physical or mental disability, political affiliation, medical condition (including cancer or a record or history of cancer, and genetic characteristics), sex (including pregnancy, childbirth, breastfeeding or related medical condition), genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
Radical Numerics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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