Jobs at Radical Numerics | HiringCafe

Radical Numerics

Product Manager

2–6 years in product management; strong product instincts; technical fluency in AI/software; excellent writing; ownership; able to handle ambiguity.

Member of Technical Staff, Statistical Genetics

Member of Technical Staff

PhD in statistical genetics or related field or substantial industry experience; strong Python and HPC skills; knowledge of GWAS, LD, QTL; experience with large genetic resources; effective communicator.

Senior Engineering Manager

Lead engineering teams in high-performance, distributed ML infrastructure; manage senior engineers; shape system architectures; collaborate with researchers.

Chief of Staff

1–4 years in a high-performance, execution-focused environment; strong execution, detail, organization, and communication; supports senior leadership; able to manage multiple projects.

Member of Technical Staff, Backend Engineering

Backend Engineer

Proven backend system design and production APIs; strong Python/Go/Java/Rust; experience with scalable, observable services; end-to-end ownership.

Head of Data Partnerships

Lead global data discovery, build partnerships, and negotiate data access in life sciences.

Member of Technical Staff, Pretraining Science

Experience in ML research/engineering, large-scale model training, Python, PyTorch, distributed systems, and empirical workflow.

Member of Technical Staff, Post-Training

Strong ML research/engineering background; Python and PyTorch; ability to run careful experiments and interpret results.

Member of Technical Staff, Infrastructure and Training Systems

Design and build distributed training systems, optimize performance, and develop reusable frameworks for large-scale ML workflows.

Member of Technical Staff, Biosecurity

Strong ML/AI systems background; computational biology or biosecurity expertise; experience building ML systems; design evaluations and safety architecture; capable of engaging with government and partners.

Member of Technical Staff, AI Bio

Experience with ML/DL, adapting large models to new domains, applying ML to biological data; strong Python and ML tooling (PyTorch/JAX); mid-to-senior level.

Member of Technical Staff, Science

PhD in genetics/computational biology or 3+ years biotech experience; strong data curation/analysis background; Python and data tooling fluency; ability to translate findings to engineering actions.