Skip to content

Member of Technical Staff - Computational Biology

Computational biologist partnering with biotech/pharma customers to integrate scientific workflows into AI agents, builds bio skills/tools/data integrations, and evaluates agent performance for scientific accuracy. Requires PhD, industry experience, and engineering skills.

200k – 300kSouth San Francisco, CAML EngineeringOnsite

About the role

Responsibilities

  • Partner with enterprise customers in biotech and pharma to understand their scientific workflows and bring those needs into the product.
  • Construct bio skills for agents: build and curate biomedical workflows, tools, databases, and data integrations.
  • Evaluate agent performance across biomedical domains through internal benchmarks, structured evals, and direct scientific review.
  • Validate scientific accuracy and rigor of agent outputs and drive improvements with the AI team.
  • Serve as the scientific voice in customer engagements, deployments, and feedback loops.

Requirements

  • Industry experience in biotech or pharma (computational biology, bioinformatics, or related).
  • PhD training as a computational biologist, with strong command of common biomedical tools, databases, and analytical workflows.
  • Solid engineering skills: writing code, building pipelines, and working with biological data at scale.
  • Comfort working directly with enterprise customers and translating scientific needs into technical requirements.
  • Ability to move quickly in a fast-paced research and product environment.

Nice to Have

  • AI-native working style; fluent with modern AI coding tools and agent-based workflows.
  • Experience with LLMs, agents, or AI/ML systems applied to biomedical problems.
  • Broad experience across multiple biomedical domains (e.g., genomics, proteomics, drug discovery, clinical data).">

Skills

BioinformaticsBiomedical WorkflowsPythonData PipelinesBiological DatabasesLLMsAI AgentsGenomicsProteomicsDrug Discovery

Similar roles

ML Engineering jobs

Staff Software Engineer, Agents

Build and own end-to-end AI agents for enterprise customers, integrating latest text/voice models and iterating based on real-world usage. Requires 8+ years of software engineering experience with Python and TypeScript.

200k – 400kSan Francisco, CAML EngineeringOn-site8+ YOEPythonAI Agents

Member of Technical Staff - Research Fellow

3-month research fellowship for early-career researchers working on frontier Multimodal LLMs, generative modeling, and real-time audiovisual AI. Own a research problem in pretraining, post-training, RL, evaluation, or multimodal modeling. Strong PyTorch and first-author tier-1 paper required.

200k – 250kSeattle, WAML EngineeringOn-sitePyTorchDeep Learning

Member of Technical Staff — Model Optimization and Inference

Early-career engineer optimizing inference for real-time multimodal AI avatars. Focus on KV cache strategies, serving frameworks, quantization, and latency reduction for LLMs and diffusion models.

200k – 300kSeattle, WAML EngineeringOn-siteEntry levelvLLMCUDA

Staff Research Engineer, Voice + Speech

Lead development of voice and speech models for real-time conversational AI agents, advancing speech understanding, naturalness, and production integration. Requires 8+ years in AI/ML, LLM deployment experience, and strong Python/ML tooling skills.

200k – 400kNew York, NYML EngineeringHybrid8+ YOELLMsPython

Staff Software Engineer - AI Marketing - US (Remote)

Staff Software Engineer leads AI-powered platform architecture for marketing tools in real estate SaaS, building ad platforms, video generation, attribution systems, and SEO features. Requires 8+ years experience with TypeScript/Node/React, microservices, and daily AI workflow integration.

200k – 250kUnited StatesML EngineeringRemote8+ YOEAWSSQS