Scientist / Senior Scientist, Multimodal AI

Job description Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com.

Our Value 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. 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 a diverse and inclusive environment. What You Will Contribute To Altos 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.

Responsibilities Model Development:

Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities.

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.

Technical Collaboration:

Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems. Who You AreWe are looking for a technical specialist who thrives on solving "unsolvable" problems through code and rigorous experimentation. We are open to candidates at the Scientist I, Scientist II, or Senior Scientist level based on technical expertise.

Minimum Qualifications Education:

PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.

Hands-on CV Expertise:

Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning).

Distributed Training:

Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.

Programming Mastery:

Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems.

Scientific Contributions:

A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks. Preferred Qualifications 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. The salary range for

Redwood City, CA:

Scientist I, Machine Learning:

$200,900•$257,500

Scientist II, Machine Learning:

$226,200•$290,000

Senior Scientist I, Machine Learning:

$257,400•$330,000 The salary range for

San Diego, CA:

Scientist I, Machine Learning:

$179,400•$230,000

Scientist II, Machine Learning:

$212,900•$273,000

Senior Scientist I, Machine Learning:

$239,500•$307,000 Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application: Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. Equal Opportunity 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. Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.

Note:

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. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at Keywords artificial-intelligence multimodal-ai environment-health-and-safety-hsse disabilities-ada diversity testing-and-analysis image-analysis cloud-infrastructure training-and-development planning-and-design visual-art-design product-development-and-design foundation-models transformers geospatial-data training-certification education-training machine-learning petabyte ecology-environment distributed-computing computer-science computer-vision image-recognition self-supervised-learning supervised-learning fine-tuning vehicle-modification-tuning pytorch deepspeed python data-management open-source amazon-web-services google-cloud-platform good-clinical-practice-gcp kubernetes docker machine-learning-ops-mlops salary-range redwood non-disclosure-agreement-nda certificate-authority-ca express-js