Machine Learning Engineer/Machine Learning Scientist , Multi Modality

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the 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 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. What You Will Contribute To Altos As part of our team, you will help to accelerate and optimize our progress in developing multi-modal generative foundation models for multiscale biology. We are open to hiring either a Machine Learning Scientist or Machine Learning Engineer. In either role, you will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. You will partner and collaborate with other Machine Learning Scientists and Engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem. Focussing on designing and building state-of-the-art multimodal foundation models that tackle biological questions and aid in the discovery of novel interventions for aging and disease. The successful candidate will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity. Responsibilities Machine Learning Engineer 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. Machine Learning Scientist 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) Who You Are We are looking for someone who is : Excited about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities and how they can contribute Highly collaborative in mindset and ways of working Self-motivated to drive and deliver on projects and goals Demonstrates the desire to grow professionally and expand their skillset and knowledge; is keen to learn more about biology, computational science, and drug development. Ability to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff. Is able to stay up-to-date on the latest developments in deep learning and apply knowledge to their work. Keen to take the opportunity to contribute to seminars and other scientific initiatives within Altos and the broader scientific community. Minimum Qualifications Machine Learning Engineer 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. Machine Learning Scientist PhD in Computer Science / Machine Learning or similar fields 0-5 years of relevant work experience in either an academic or industry setting. 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 Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate) 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 Qualifications 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. The salary range for Machine Learning Engineer position in San Diego Machine Learning Engineer I: $150,450 - $203,550 Machine Learning Engineer II: $170,000 - $230,000 The salary range for Machine Learning Engineer position in Redwood City Machine Learning Engineer I: $153,000 - $207,000 Machine Learning Engineer II: $178,500 - $241,500 The salary range for Machine Learning Scientist position in San Diego Machine Learning Scientist I: $188,600 - $230,000 Machine Learning Scientist II: $223,900 - $273,000 The salary range for Machine Learning Scientist position in Redwood City Machine Learning Scientist I: $211,200 - $257,500 Machine Learning Scientist II: $237,800 - $290,000 Exact compensation may vary based on skills, experience, and location. For UK applicants, before submitting your application: - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) - This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. #LI-NN1 Equal Opportunity Employment We value collaboration and scientific excellence. We believe that diverse perspectives and a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, 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 an inclusive environment. 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, protected 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, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/