Altos Labs · 2 days ago
Machine Learning Engineer/Machine Learning Scientist , Multi Modality
San Francisco, CA
Full-time
Onsite
New Grad, Entry, Mid Level
$150K/yr - $204K/yr
0+ years expAltos Labs is dedicated to restoring cell health and resilience through cell rejuvenation. They are seeking a Machine Learning Engineer or Scientist to contribute to the development of multi-modal generative foundation models for multiscale biology, collaborating with multidisciplinary teams to tackle biological questions and discover novel interventions for aging and disease.
BiopharmaBiotechnologyHealth CareHealth DiagnosticsMedical
Responsibilities
As a Machine Learning Engineer you will focus on building, deploying and optimizing machine learning models at scale
Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and natural language inputs
Develop efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes
Ability to apply software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment
The ideal candidate will be able to use their 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 and natural language inputs
You will be able to gain insights, based on theory, deep research and the mathematical underpinnings of your work
Be experienced in using AI as a tool to accelerate your research
Can apply strong coding experience to model development using existing languages(s) and framework(s)
Qualification
Required
MS in Computer Science, Statistics, Machine Learning, Artificial Intelligence, or a related discipline
0-5 years of relevant work experience in either an academic or industry setting
Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
Ideally, experience in a distributed training framework, like DDP, FSDP, Deepspeed, Megatron, or HuggingFace Accelerate, Ray
Expertise in a subset of the following: transformers, natural language processing, multi-modality in language and/or in biology, diffusion models
PhD in Computer Science / Machine Learning or similar fields
Prior experience in developing and implementing novel generative AI models in a subset of the following: transformers, multi-modality, diffusion models
Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models
Strong track record of published peer reviewed innovative AI/ML research
Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar
Experience with multi-GPU and distributed training at scale
Preferred
Familiarity with multimodal data integration, including early and/or late fusion strategies
Track record of ML applied to NGS data (e.g.RNA-seq, ATAC-seq, ChIP-seq, DNA methylation), biological imaging modalities (e.g. microscopy, H&E, IF), and/or spatial transcriptomics
Company
Altos Labs
Altos Labs focuses on cellular rejuvenation programming to restore cell health and resilience, to reverse disease to transform medicine.
201-500 employees
H1B Sponsorship
Altos Labs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (7)
2023 (5)
2022 (6)
Funding
Current Stage
Growth StageTotal Funding
$3B2021-09-06Series A· $3B
Leadership Team
Joan Mannick
Chief Medical Officer
Recent News
2026-01-06
Genetic Engineering News
2025-12-10
Company data provided by crunchbase