Altoslabs

Scientist / Senior Scientist, Multimodal AI

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

Sponsorship not specified$201k-$258kDetected 22 days ago

PythonExpressAWSGCPCloud PlatformsDockerKubernetesMachine LearningPyTorchNLPComputer VisionLLMsMLOpsResearchCollaboration

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.

Hands-on Data Fusion: Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets.
Scaling & Training: Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment.
Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets.
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.

Distributed Training: Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.
Scientific Contributions: A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks.

Direct experience with Multimodal Fusion (e.g., aligning image embeddings with transcriptomic or proteomic data).
Proficiency with cloud-native AI tools (AWS/GCP, Kubernetes, Docker) and building automated MLOps workflows.
Experience handling the unique noise and sparsity of biological data.
For UK applicants, before submitting your application:

Everyone Owns Achieving Our Inspiring Mission.
Diversity at Altos
At Altos, 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.
What You Will Contribute To Altos
Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.
$239,500 - $307,000
Exact compensation may vary based on skills, experience, and location.

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities.
Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning).

Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
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.
We are all accountable for sustaining a diverse and inclusive environment.
Altos Labs is building a world-class AI ecosystem to solve the most complex problems in human biology.
You will directly design and build high-performance, scalable solutions that unify high-dimensional biomedical imaging with molecular and language data.
By implementing large-scale multimodal data fusion, you will move beyond simple image analysis to create predictive models that map across biological domains.
You will be hands-on with the data and the code, collaborating with our engineering team to ensure these models are scalable, efficiently trainable on distributed cloud infrastructure, and accessible to our global research community.
Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems.

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.