Altos Labs is seeking a Scientist to design and build high-performance, scalable AI solutions that unify high-dimensional biomedical imaging with molecular and language data. You will implement large-scale multimodal data fusion to create predictive models mapping across biological domains, contributing to our mission of restoring cell health and resilience.
What You'll Do
- Design, code, and train large-scale foundation models such as Vision Transformers and Multimodal LLMs to embed spatial data and integrate multiple modalities.
- Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets.
- Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment.
- Work directly with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems.
What We're Looking For
- PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.
- Deep experience building and deploying modern Computer Vision architectures including Vision Transformers, U-Nets, and Self-Supervised Learning.
- Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.
- Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems.
- A track record of technical contributions via high-impact publications in venues like CVPR, ICCV, or NeurIPS, or significant contributions to open-source ML frameworks.
Nice to Have
- Direct experience with Multimodal Fusion, such as aligning image embeddings with transcriptomic or proteomic data.
- Proficiency with cloud-native AI tools including AWS/GCP, Kubernetes, Docker and building automated MLOps workflows.
- Experience handling the unique noise and sparsity of biological data.
Technical Stack
- Python, PyTorch Distributed, DeepSpeed, Jax
- Vision Transformers, U-Nets
- AWS, GCP, Kubernetes, Docker
Team & Environment
You will collaborate closely with our engineering team and experimental scientists.
Benefits & Compensation
- Redwood City, CA: Scientist I: $211,200 - $257,500; Scientist II: $237,800 - $290,000; Senior Scientist I: $270,600 - $330,000.
- San Diego, CA: Scientist I: $188,600 - $230,000; Scientist II: $223,900 - $273,300; Senior Scientist I: $251,700 - $307,000.
Work Mode
This position is based locally in Redwood City, CA or San Diego, CA.
Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
