Job Description Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and 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 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 focus is on Belonging, ensuring all employees feel valued for their unique perspectives. We are committed to maintaining a diverse and inclusive environment. What You Will Contribute To Altos As a Machine Learning Engineer, you will play a key role in developing generative AI/ML models for multi-modal, multi-scale biology. We seek a hands-on, senior-level, creative, and collaborative individual 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 values teamwork, transparency, scientific excellence, originality, rigor, and integrity. Responsibilities - Partner with world-class scientists across Altos to generate biological insights aimed at 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 research and development goals. Who You Are - Proven track record leveraging machine learning to solve real-world problems. - Expertise in generative models, language models, computer vision, Bayesian inference, causal reasoning, transfer and multi-task learning, diffusion models, graph neural networks, active learning. - Experience with production-quality code using frameworks like PyTorch, TensorFlow, JAX, or similar. - Experience with multi-GPU and distributed training at scale. - A team player committed to enabling colleagues and fostering collaboration. - Growth mindset with a desire to expand skills and knowledge in biology, computational science, and medicine. - Enthusiasm for Altos' mission of restoring cell health and resilience. Minimum Qualifications - Masters or Ph.D. in a quantitative/computational field or equivalent experience. - 8+ years of experience developing machine learning models. - Strong programming skills in Python and deep learning libraries such as PyTorch or JAX. - Experience with large-scale distributed optimization across multiple GPUs and nodes. Preferred Qualifications - Familiarity with biological data formats and concepts. - Experience in cell health and rejuvenation research. - Experience with drug target and therapeutic assessment. - Applying machine learning to genomics, transcriptomics, epigenetics, proteomics, imaging. - Open-source software development record. - Scientific publications in peer-reviewed journals or conferences. - Experience with lower-level languages (e.g., C++, Rust). - Experience with large-scale data processing tools like MapReduce, Dask, SQL, Hugging Face Datasets, TileDB, Ray. Salary Range Redwood City, CA: - Senior ML Engineer: $200,600 - $271,400 - Staff ML Engineer: $232,900 - $315,100 San Diego, CA: - Senior ML Engineer: $186,150 - $251,850 - Staff ML Engineer: $221,000 - $299,000 Exact compensation varies based on skills, experience, and location. Additional Information - For UK applicants, please review our privacy notice before applying. - Altos Labs is committed to equal employment opportunity and prohibits discrimination and harassment. - All employees must be fully vaccinated against COVID-19, subject to exemptions. Thank you for your interest in Altos Labs, where we strive for a culture of scientific excellence, learning, and belonging. #J-18808-Ljbffr
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