Altos Labs
Machine Learning Engineer/Machine Learning Scientist , Multi Modality
Altos Labs, San Francisco, California, United States, 94199
Machine Learning Engineer / Machine Learning Scientist, Multi Modality – Altos Labs
Join Altos Labs to build computational platforms enabling multi‑modal generative foundation models for biology. Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and age‑related disabilities.
What You Will Contribute As part of our team, you will accelerate progress in developing multimodal generative foundation models for multiscale biology. You will build, deploy, and optimize machine learning systems, collaborate across multidisciplinary teams, and design state‑of‑the‑art models to tackle biological questions.
Responsibilities Machine Learning Engineer
Build, deploy, and optimize machine learning models at scale.
Pre‑train and fine‑tune large‑scale systems using multimodal biological data and natural language inputs.
Develop efficient data loading strategies and performance tracking for distributed training across multiple nodes.
Apply software‑engineering skills to create reliable, scalable, performant distributed systems in a cloud environment.
Machine Learning Scientist
Design, develop, and evaluate state‑of‑the‑art foundation models, scaling them to benefit research.
Pre‑train and fine‑tune large‑scale systems using multimodal biological data and natural language inputs.
Gain insights through theory, deep research, and mathematical underpinnings.
Use AI as a tool to accelerate research.
Apply strong coding experience to model development in Python and relevant frameworks.
Who You Are
Excited about the mission of restoring cell health and resilience and how you can contribute.
Highly collaborative and self‑motivated to drive and deliver projects and goals.
Demonstrated desire to grow professionally and expand skillset in biology, computational science, and drug development.
Strong communicator capable of explaining design, results, and impact to scientific and non‑scientific staff.
Stays up‑to‑date on latest developments in deep learning and applies this knowledge.
Ready to contribute to seminars and scientific initiatives within Altos and the broader community.
Minimum Qualifications Machine Learning Engineer
MS in Computer Science, Statistics, Machine Learning, AI, or related discipline.
0–5 years of relevant experience in academic or industry settings.
Very strong programming skills in Python and deep‑learning libraries (PyTorch, Hugging Face Transformers, etc.).
Experience with distributed training frameworks (DDP, FSDP, Deepspeed, Megatron, etc.).
Expertise in transformers, natural language processing, multi‑modality, or diffusion models.
Machine Learning Scientist
PhD in Computer Science, Machine Learning, or similar field.
0–5 years of relevant experience in academic or industry settings.
Prior experience developing and implementing novel generative AI models in transformers, multi‑modality, or diffusion models.
Deep understanding of machine‑learning principles and model application.
Strong programming skills in Python and deep‑learning libraries.
Track record of published peer‑reviewed innovative AI/ML research.
Experience writing production‑quality code with modern frameworks (PyTorch, TensorFlow, JAX, etc.).
Experience with multi‑GPU and distributed training at scale.
Preferred Qualifications
Familiarity with multimodal data integration via early/late fusion strategies.
Track record of ML applied to NGS data (RNA‑seq, ATAC‑seq, ChIP‑seq, DNA methylation), biological imaging modalities, or spatial transcriptomics.
Salary For San Diego and Redwood City locations, salaries vary by role and experience (see full ranges below).
ML Engineer I: $150,450 – $203,550 (San Diego) / $153,000 – $207,000 (Redwood City)
ML Engineer II: $170,000 – $230,000 (San Diego) / $178,500 – $241,500 (Redwood City)
ML Scientist I: $195,500 – $264,500 (San Diego) / $210,800 – $285,200 (Redwood City)
ML Scientist II: $232,050 – $313,950 (San Diego) / $246,500 – $333,500 (Redwood City)
Equal Opportunity Employment 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, 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.
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What You Will Contribute As part of our team, you will accelerate progress in developing multimodal generative foundation models for multiscale biology. You will build, deploy, and optimize machine learning systems, collaborate across multidisciplinary teams, and design state‑of‑the‑art models to tackle biological questions.
Responsibilities Machine Learning Engineer
Build, deploy, and optimize machine learning models at scale.
Pre‑train and fine‑tune large‑scale systems using multimodal biological data and natural language inputs.
Develop efficient data loading strategies and performance tracking for distributed training across multiple nodes.
Apply software‑engineering skills to create reliable, scalable, performant distributed systems in a cloud environment.
Machine Learning Scientist
Design, develop, and evaluate state‑of‑the‑art foundation models, scaling them to benefit research.
Pre‑train and fine‑tune large‑scale systems using multimodal biological data and natural language inputs.
Gain insights through theory, deep research, and mathematical underpinnings.
Use AI as a tool to accelerate research.
Apply strong coding experience to model development in Python and relevant frameworks.
Who You Are
Excited about the mission of restoring cell health and resilience and how you can contribute.
Highly collaborative and self‑motivated to drive and deliver projects and goals.
Demonstrated desire to grow professionally and expand skillset in biology, computational science, and drug development.
Strong communicator capable of explaining design, results, and impact to scientific and non‑scientific staff.
Stays up‑to‑date on latest developments in deep learning and applies this knowledge.
Ready to contribute to seminars and scientific initiatives within Altos and the broader community.
Minimum Qualifications Machine Learning Engineer
MS in Computer Science, Statistics, Machine Learning, AI, or related discipline.
0–5 years of relevant experience in academic or industry settings.
Very strong programming skills in Python and deep‑learning libraries (PyTorch, Hugging Face Transformers, etc.).
Experience with distributed training frameworks (DDP, FSDP, Deepspeed, Megatron, etc.).
Expertise in transformers, natural language processing, multi‑modality, or diffusion models.
Machine Learning Scientist
PhD in Computer Science, Machine Learning, or similar field.
0–5 years of relevant experience in academic or industry settings.
Prior experience developing and implementing novel generative AI models in transformers, multi‑modality, or diffusion models.
Deep understanding of machine‑learning principles and model application.
Strong programming skills in Python and deep‑learning libraries.
Track record of published peer‑reviewed innovative AI/ML research.
Experience writing production‑quality code with modern frameworks (PyTorch, TensorFlow, JAX, etc.).
Experience with multi‑GPU and distributed training at scale.
Preferred Qualifications
Familiarity with multimodal data integration via early/late fusion strategies.
Track record of ML applied to NGS data (RNA‑seq, ATAC‑seq, ChIP‑seq, DNA methylation), biological imaging modalities, or spatial transcriptomics.
Salary For San Diego and Redwood City locations, salaries vary by role and experience (see full ranges below).
ML Engineer I: $150,450 – $203,550 (San Diego) / $153,000 – $207,000 (Redwood City)
ML Engineer II: $170,000 – $230,000 (San Diego) / $178,500 – $241,500 (Redwood City)
ML Scientist I: $195,500 – $264,500 (San Diego) / $210,800 – $285,200 (Redwood City)
ML Scientist II: $232,050 – $313,950 (San Diego) / $246,500 – $333,500 (Redwood City)
Equal Opportunity Employment 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, 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.
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