Altoslabs

Scientist /Senior Scientist, Multimodal & Relational Machine Learning Foundation Models

San Francisco Bay Area, CA;San Diego, CA · Senior

Sponsorship not specified$201k-$258kDetected 42 days ago

PythonExpressMachine LearningDeep LearningPyTorchNLPLLMsMicroscopyNGSResearchCollaboration

About the role

For more information, see our website at altoslabs.com.
Diversity at Altos Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list.
Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives.

Develop Relational Foundation Models (RFMs) that enable zero-shot predictive tasks over heterogeneous, multi-table biological datasets.
Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes.
Self-motivated to drive and deliver on long-term technical projects and scientific goals.
Everyone Owns Achieving Our Inspiring Mission.
In this role, you will partner and collaborate with other multidisciplinary Scientists and Engineers across the Institute of Computation to design, build, and scale state-of-the-art foundation models that tackle biological questions and aid in the discovery of novel interventions for aging and disease.
Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee.
Able to communicate and explain the design, results, and impact of complex AI architectures to both scientific and non-scientific staff.

Proven experience with multi-GPU and distributed training at scale (e.g., DDP, FSDP, DeepSpeed, Megatron, or Ray).
Strong track record of published, peer-reviewed innovative AI/ML research at top-tier conferences (NeurIPS, ICML, ICLR, CVPR).

Specific experience in native multimodal modeling (early-fusion) or the synthesis of LLMs and Knowledge Graphs.
Track record of ML applied to biological data, such as NGS data (RNA-seq, ATAC-seq), biological imaging (microscopy, IF), or spatial transcriptomics.
Experience in optimizing large-scale inference via quantization, distillation, or memory-efficient attention mechanisms.
For UK applicants, before submitting your application:

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
Excited about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities.
Demonstrates the desire to grow professionally and expand their skillset in biology, machine learning, and/or drug development.
As a Staff Machine Learning Scientist, you will use your experience to focus on designing, developing, and evaluating state-of-the-art foundation models, at scale, to benefit the research.
Pre-train and fine-tune large-scale machine learning systems using multimodal biological data, natural language, and structured relational inputs.
Stay up-to-date on the latest developments in deep learning-including native early-fusion and Mixture-of-Experts (MoE) architectures-and apply this knowledge to Altos' research.

Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
Diversity at Altos
Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list.
At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission.
We are all accountable for sustaining a diverse and inclusive environment.
What You Will Contribute To Altos
As part of our team, you will help to accelerate and optimize our progress in developing unified, multi-modal generative foundation models for multiscale biology.
You will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission.
You will focus on the synthesis of unstructured multimodal signals with the structured relational data and knowledge graphs that represent biological reality.
The successful candidate will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity.

Employment
We value collaboration and scientific excellence.
We believe that a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment.
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. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

This listing is sourced directly from Altoslabs's careers page and normalized into a canonical job model.