Radical Numerics
Next-generation AI lab for general biological intelligence11-50 EmployeesActively Hiring
- Top 10% of respondersRadical Numerics is in the top 10% of companies in terms of response time to applications
- Responds within a weekBased on past data, Radical Numerics usually responds to incoming applications within a week
Jobs at Radical Numerics
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Product
Product Lead, Biodefense
NewPosted 2 weeks ago
Product Lead, Biodefense
- Identify biosecurity and biodefense problems and help decide what we pursue, helping to target Omnii’s capacity to enhance risk mitigation, detection, characterization, diagnostic and countermeasure efforts, attribution, and other actions.
- Set the technical bar Omnii must clear before a customer uses its results.
San Francisco
Other
Member of Technical Staff, Experimental Biology
NewPosted 2 weeks ago
Member of Technical Staff, Experimental Biology
- Design experiments to test predictions, molecules, sequences, and biological systems generated or prioritized by our models
- Work closely with ML researchers and computational biologists to turn modeling questions into fast, informative experiments
San Francisco
Sales
Head of Business Development
NewPosted 2 weeks ago
Head of Business Development
- Originate and close partnerships across pharma, diagnostics, and synthetic biology.
- Own the commercial workstream from qualification through signature, alongside a product lead who owns technical scope and scientific execution.
San Francisco
Engineering
Member of Technical Staff, ML Engineer
NewPosted 1 month ago
Member of Technical Staff, ML Engineer
- Build the inference APIs behind Omnii: real-time serving plus large batch scoring for genome- and variant-scale workloads, where a single job can be millions of sequences, latency-tolerant and cost-sensitive.
- Design the compute and orchestration layer: job queues, autoscaling GPU inference, retries, fau...
In office • San Francisco
$200k – $270k • 0.05% – 0.15%Product
Product Lead - Discovery
NewPosted 1 month ago
Product Lead - Discovery
- Decide which applications of the model matter for target identification and validation, and what we build first.
- Originate and close partnerships with pharma discovery organizations. You are measured on committed contract value and on partners using the product week to week.
San Francisco
Sales
Product Lead - Diagnostics
NewPosted 1 month ago
Product Lead - Diagnostics
- Decide which interpretation problems we solve and for whom, and what has to be true technically before a clinical organization will run our output in production.
- Originate and close partnerships with clinical genomics companies, laboratories, and health systems. You are measured on committed contract value and on partners running our scoring in production rather than in pilots.
San Francisco
Engineering
Applications Engineer
NewPosted 1 month ago
Applications Engineer
- Develop the application surface for your area of ownership, including interactive workbenches, variant scoring and ranking pipelines, and other tools that make model output usable by scientists unfamiliar with our API.
- Run our models on partner data and present results with enough interpretability for a computati...
San Francisco
Engineering
Member of Technical Staff, Protein Design
NewPosted 1 month ago
Member of Technical Staff, Protein Design
- Develop and improve machine-learning models for protein structure prediction, design, and related structural biology tasks.
- Train and fine-tune protein language models, geometric neural networks, diffusion models, and other modern scientific machine-learning architectures.
San Francisco
Marketing
Marketing Associate
NewPosted 1 month ago
Marketing Associate
- Drive execution of major marketing projects, e.g.,website design, company videos.
- Source, brief, and manage specialized vendors and freelancers (designers, video producers, developers) for work that's better built externally
San Francisco
Engineering
Member of Technical Staff, Inference
NewPosted 2 months ago
Member of Technical Staff, Inference
- Experience with inference frameworks such as vLLM, TensorRT-LLM, SGLang, DeepSpeed, or similar systems.
- Contributions to open-source AI infrastructure, inference frameworks, compilers, or kernel libraries.
San Francisco
Engineering
Member of Technical Staff, Mechanistic Interpretability
NewPosted 2 months ago
Member of Technical Staff, Mechanistic Interpretability
- Strong background in machine learning research, particularly in large language models, representation learning, mechanistic interpretability, model analysis, AI safety, or related areas.
- Deep understanding of modern deep learning architectures and training methods, including transformers, representation learning, optimization, and large-scale model systems.
San Francisco • Tokyo
Engineering
Member of Technical Staff, Pretraining Science
NewPosted 3 months ago
Member of Technical Staff, Pretraining Science
- Research and develop new pretraining methodologies. Explore how biological world models learn from multi-modal data (eg, sequence, structure, and image data), and develop new objectives, training strategies, or architectural ideas that improve representation quality and downstream performance.
- Study scaling behavior. Investigate how training dynamics change with model size, data composi...
San Francisco • Tokyo
Engineering
Member of Technical Staff, Post-Training
NewPosted 3 months ago
Member of Technical Staff, Post-Training
- Develop and tune post-training recipes. Design and iterate on post-training stages, datasets, reward signals, and hyperparameters for biological world models. Study how choices in data mixtures, objective design, curriculum, and training schedules affect model behavior.
- Build evaluations that actually matter. Collaborate with the science team to develop and refin...
San Francisco • Tokyo
Engineering
Member of Technical Staff, Infrastructure and Training Systems
NewPosted 3 months ago
Member of Technical Staff, Infrastructure and Training Systems
- Design and scale distributed training systems. Build and optimize distributed training infrastructure for large-scale biological world models across large distributed compute systems, with a focus on performance, stability, and scalability.
- Maximize throughput and hardware efficiency. Develop performance optimizations across the stac...
San Francisco • Tokyo
Engineering
Member of Technical Staff, Computational Biology
NewPosted 3 months ago
Member of Technical Staff, Computational Biology
- 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.
San Francisco
Engineering
Member of Technical Staff, Biosecurity
NewPosted 3 months ago
Member of Technical Staff, Biosecurity
- Design and run biosecurity evaluations. Develop evaluation frameworks for biological foundation models covering sequence generation risk, synthesis screening evasion, and capability assessment across genomics, proteins, and multimodal systems. Build red-teaming pipelines and define benchmarks that measure real-world risk and misuse potential.
San Francisco
Engineering
Member of Technical Staff, Distributed Systems
NewPosted 3 months ago
Member of Technical Staff, Distributed Systems
- Operate and automate large GPU clusters. Own provisioning, imaging, and capacity planning across large distributed compute systems, with a focus on uptime, utilization, and cost efficiency.
- Build a unified compute interface. Write software that abstracts cluster management and presents a single, ergonomic interface for training and inference, so researchers spend their time on science rather than infrastructure.
San Francisco • Tokyo
Engineering
Member of Technical Staff, AI Bio
NewPosted 3 months ago
Member of Technical Staff, AI Bio
- Adapt frontier AI models to biological tasks through fine-tuning, post-training, adapters, and architectural modifications.
- Design and run experiments applying large models to problems in genomics, regulatory biology, protein biology, or cellular systems.
San Francisco
Sales
Head of Data Acquisition
NewPosted 3 months ago
Head of Data Acquisition
- Map the global landscape of biological datasets across genomics, epigenomics, transcriptomics, proteomics, metabolomics, imaging, and clinical data.
- Identify high-value datasets across pharma pipelines, national biobanks, hospital systems, sequencing centers, research institutes, and government repositories.
San Francisco