Staff Machine Learning Engineer

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. We believe that diverse perspectives are foundational to scientific innovation and inquiry. 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. As a Machine Learning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multi scale biology. We are looking for a hands-on, senior level creative and collaborative person to join our multidisciplinary team of scientists and engineers focused on transforming how we treat aging and disease. The successful candidate will thrive in a fast-paced environment that emphasizes teamwork, transparency, scientific excellence, originality, rigor, and integrity. Responsibilities: - Partner with world-class scientists across Altos to help generate biological insights with the goal of developing novel therapies; - Design and implement large-scale machine learning algorithms and systems applied to biological datasets; - Train, evaluate, and optimize machine learning models at scale; - Communicate effectively with internal and external collaborators to meet ambitious research and development goals. Who You Are: - Proven track record leveraging machine learning to solve real-world problems; - Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; - 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; - A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential; - Growth mindset - the desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine; - Excitement about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities. Minimum Qualifications: - Masters or Ph.D. degree in a quantitative/computational field such as computer science, artificial intelligence, mathematics, statistics, physics, or computational biology, or equivalent experience; - 8+ years experience in developing machine learning models; - Very strong programming skills, including experience with Python and deep learning libraries such as PyTorch or JAX; - Experience in large-scale distributed optimization of machine learning models across multiple GPUs and nodes. Preferred Qualifications: - Familiarity with biological data formats, concepts, and computational models; - Experience in cell health and rejuvenation-related research area; - Experience with identification and assessment of drug targets and/or therapeutic compounds; - Experience in the application of machine learning methods to biological data, including genomics, transcriptomics, epigenetics, proteomics, and imaging; - Track record in open-source software development, e.g., demonstrated by high-impact GitHub repository; - Track record of high-caliber scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals or major ML conferences; - Experience with one lower level language (not limited to, but such as C++, Rust); - Experience with large scale data processing and database tools such as MapReduce, Dask, SQL, Hugging Face Datasets, TileDB, Ray.

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. We believe that diverse perspectives are foundational to scientific innovation and inquiry. 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.