28,353 San Francisco jobs
Open tech roles based in San Francisco.
Research Product Manager, Post Training
Own the roadmap for LILA’s foundational AI models, translating research ambitions into measurable capabilities and production-ready releases.
Research Product Manager, Fine-tuning
Owns fine-tuning roadmap for Lila’s AI models, prioritizing scientific domains and commercial needs, defining training data, evals, and release criteria to ship model variants.
Associate Director, App
Your Impact at LILA Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result. We're building the platform that makes this a reality — and we need engineering leaders who want to…
Senior Data Engineer, Bioinformatics, Cheminformatics, Materials
Builds ETL pipelines, data models, and reusable analysis functions for LILA's scientific data platform, turning raw lab instrument outputs into validated, analysis-ready datasets across biology, chemistry, and materials science. Core stack: Python, SQL/Postgres, and workflow orchestration (Flyte, Airflow, Prefect, Dagster, or Nextflow).
Machine Learning Scientist I / II, Protein Design
A machine learning scientist who designs protein-based therapeutic molecules on active biologics programs, building AI design workflows, reasoning/orchestration systems, and evaluation benchmarks that generalize across programs. Core work spans protein ML models, evaluation infrastructure, and high-throughput computational design.
Senior / Principal Chemist, AI Safety
A chemist on LILA Sciences' AI safety team maps chemical dual-use misuse risks from increasingly capable scientific AI — building safety strategy, evaluations, and mitigations while preserving beneficial chemistry. Requires deep chemistry expertise (PhD or equivalent) and dual-use risk assessment experience; base salary $148k–$208k USD.
Principal Machine Learning Engineer, Applied AI
A senior IC role adapting LILA's scientific AI models to customer workflows through post-training (SFT, RLHF-style methods like DPO/PPO/GRPO), building evaluation loops, and debugging production model behavior. Core stack is Python and PyTorch with deep LLM/multi-modal/agentic AI expertise.
Senior / Staff Machine Learning Engineer, Applied AI
Adapts LILA's frontier AI models to customer-specific scientific workflows: running post-training (SFT, DPO/PPO/GRPO), building evaluation loops, and integrating model behavior into end-to-end production products alongside AI research and software teams. Core stack is Python, PyTorch, and LLM/multi-modal/agentic AI systems.
Manager / Senior Manager, AI Safety Data and Evaluation Program
Leads AI safety data and evaluation programs at LILA Sciences: translating safety research briefs into executed expert-data, red-teaming, and evaluation campaigns, coordinating internal and external scientific contributors, and enforcing data-quality standards to produce the evidence base for safety decisions.
Staff / Principal Research Engineer, AI Safety Mitigations
Research engineer on LILA's AI safety team, building and testing safeguards that mitigate risks from increasingly capable closed-loop scientific AI — spanning model training, post-training, classifiers, monitoring, access controls, and runtime interventions. Works hands-on with frontier models, agents, and lab-connected workflows alongside science, evaluation, and platform teams.
Staff / Principal Security Engineer, AI Safety and Security
Staff/Principal Security Engineer leading AI safety-and-security work at LILA Sciences: threat-modeling AI systems for autonomous scientific discovery, running adversarial tests of defenses, and turning findings into implemented safeguards. Requires deep hands-on security expertise (architecture, offensive security, app/infra security, or IR) plus curiosity about AI/ML safety.
Staff Software Engineer, AI Safety
Builds the shared software behind LILA Sciences' AI Safety team: reusable services, evaluations and red-teaming tooling, data pipelines, and researcher-facing apps to reduce risks from scientific superintelligence. Core stack is Python backend engineering with APIs, databases, and execution pipelines.
Senior / Principal Computational Biologist, AI Safety
Conducts original computational biology research on LILA's AI safety team, studying how LLMs, specialized biological models, agents and automated labs change what is biologically feasible, and translating risk judgments into evaluations, safeguards and dual-use policy boundaries. Requires deep computational biology expertise and strong scientific programming skills.
Senior / Principal Materials Scientist, AI Safety
LILA Sciences is hiring a Senior/Principal Materials Scientist for its AI safety team to map dual-use and misuse risks from increasingly capable scientific AI systems. Day to day: assessing materials-science threat landscapes, translating risk judgments into safeguards and policy boundaries, and collaborating across science, engineering, and policy.
Technical Recruiter, AI Research
Your Impact at LILA As an AI Research Recruiter at Lila Sciences, you will partner directly with our AI research and engineering teams to identify, engage, and hire the researchers and engineers building our AI-driven…
Associate Director/Director, Inference Engineering
Your Impact at LILA Lila is hiring an Associate Director/Director, Inference Engineering to lead the team responsible for Lila's model serving platform: the inference APIs, serving frameworks, request routing, batching…
Co-Op, AI Nucleic Acid Design
Your Impact at LILA Lila Sciences is building scientific superintelligence by pairing large-scale automated experimentation with frontier machine learning. Within Lila, the Life Science AI (LSAI) function researches…
Associate Director/Director, Frontier and AI Product Counsel
Your Impact at LILA As Associate Director/Director, Frontier and AI Product Counsel at Lila Sciences, you will be the dedicated legal partner to the teams building Scientific Superintelligence™ — our AI research…
Co-op, Agentic and Generative Protein Design
Your Impact at LILA Our team works on AI methods for therapeutic protein design, with a tight loop between computation and the wet lab. A co-op could take on either of two tracks, or a mix of both. (1) Generative…
Director, Legal - Critical Infrastructure
About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology…