As a Machine Learning Engineer at Altos Labs, you will develop scalable systems for multi-modal generative foundation models, focusing on training large-scale ML systems with multimodal data and automating analytical pipelines. Collaboration with other scientists and engineers is key in this fast-paced environment, emphasizing teamwork and scientific integrity.

As an ML Engineer at Altos Labs, you will contribute to biomedical image analysis and integration with multi-Omics data using computer vision and machine learning. Responsibilities include developing scalable solutions, collaborating with scientists, and managing analysis pipelines while utilizing state-of-the-art AI models and software engineering practices.

The Staff Machine Learning Engineer at Altos Labs will design and optimize large-scale machine learning systems, collaborating closely with computational scientists across various disciplines. Responsibilities include building data transformation pipelines, managing model serving, and mentoring software engineers while promoting effective software engineering practices.

Join Altos Labs' Talent Community by submitting your resume for future job opportunities. The company focuses on cell health and rejuvenation, fostering inclusivity and collaboration among diverse staff to drive innovation in scientific excellence.

The Scientist in Machine Learning will develop Generative AI models for integrating imaging and multi-omics data, create scalable distributed systems, and manage multi-modal analysis pipelines, while collaborating with scientists to meet diverse data needs.

As a Research Scientist in Machine Learning, you'll develop foundation models for multiscale biology, work with multimodal biological data, and collaborate with experimentalists on data collection. You'll also participate in scientific initiatives and stay updated on deep learning advancements in biological discovery.

The Staff Platform Engineer will design, develop, and maintain the Altos cloud platform, supporting cloud infrastructure and scientific computing systems. Responsibilities include implementing technologies for deploying scientific applications, optimizing system performance, facilitating cloud technology adoption, and improving reliability through automation and testing.

As a Staff Machine Learning Engineer, you'll design and evaluate large-scale machine learning systems, manage workflows, and mentor other engineers. You'll collaborate with computational scientists to create user-friendly frameworks that enhance productivity across scientific disciplines.

Altos Labs invites individuals to join their talent community. The company is focused on enhancing cell health to reverse diseases and disability. The emphasis is on diversity and inclusion in fostering scientific innovation and collaboration. This position is an opportunity to submit your resume for consideration in future job openings.

As a Scientist in Machine Learning, you will develop generative AI models for biomedical image analysis and integrate multi-omics data. Responsibilities include building scalable machine learning workflows, collaborating to understand scientists' needs, and ensuring system reliability in a cloud environment.

As a Senior Scientist in In Vitro Pharmacology, you will lead the development of biophysical, biochemical, and cell-based assays for drug discovery and validation. You'll manage projects, collaborate with cross-functional teams, and contribute to understanding mechanisms of aging and rejuvenation biology.

The Machine Learning Engineer will develop and optimize machine learning models for biomedical applications, working within scientific teams to evaluate AI technologies, enhance model performance, and facilitate the integration of multi-Omics data. Key responsibilities include building scalable systems in cloud environments and managing analysis pipelines.