Join to apply for the Junior Machine Learning Engineer – Computer Vision role at Jobright.ai

The information below covers the role requirements, expected candidate experience, and accompanying qualifications. Join to apply for the Junior Machine Learning Engineer – Computer Vision role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Altos Labs is dedicated to restoring cell health and resilience through innovative cell rejuvenation techniques. They are seeking a Machine Learning Engineer specializing in Computer Vision to develop scalable systems that convert complex biomedical data into actionable insights, thereby driving advancements in scientific research. Responsibilities: • Pioneer Model Development & Optimization: The Machine Learning Engineer will be at the forefront, meticulously evaluating and re-engineering state-of-the-art AI models across the entire spectrum of imaging. This includes developing solutions for de novo protein design, structure identification, and dynamics in single-particle CryoEM, as well as integrating light microscopy and multi-omics data for cross-domain mapping of in situ and in vivo collected data. Your deep technical acumen will transform complex algorithms into practical, high-impact tools. • Architect Scalable Distributed Systems: Leverage deep software engineering skills to design, develop, and implement reliable, performant, and inherently scalable distributed systems within a dynamic cloud environment. The solutions proposed will form the backbone of our computational infrastructure, handling massive, intricate datasets with precision and efficiency. • Optimize Data Pipelining for Exascale Training: Take ownership of developing highly efficient data loading strategies and robust performance tracking mechanisms essential for training colossal models. This involves expertly orchestrating distributed training across multiple compute nodes, pushing the boundaries of what's possible in large-scale machine learning. • Forge Integrated Analysis Pipelines: Engineer, deploy, and meticulously manage complex multi-modal analysis pipelines that serve as the bedrock for scientific analysis and sophisticated machine learning workflows. The vision is to culminate in a unified, intuitively usable framework that empowers our scientists. • Bridge the Technical and Scientific Divide: Serve as the essential communication conduit, adeptly translating complex technical concepts between experimental scientists, advanced algorithm developers, and deployment engineers. Your ability to foster clear, effective communication will ensure seamless integration and successful project execution. • Drive Technical & Cultural Excellence: Proactive force in designing and championing technical and cultural standards across both scientific and engineering functions. Your leadership will ensure best practices in code quality, collaboration, and continuous innovation. Qualifications: Required: • BS/MS in Computer Science, Biomedical Engineering, or a closely related quantitative field. • 2-5 years of direct, hands-on experience in relevant industry and/or academic settings, showcasing your ability to deliver tangible results. • Mastery of core programming languages critical for large-scale data management and machine learning, including Python, C++, and deep proficiency with frameworks like PyTorch/TensorFlow, and PyTorch Lightning. • Demonstrable expertise in Machine Learning at scale, with practical experience in Large Language Models, Self-Supervised/Contrastive/Representation Learning for Computer Vision applications, and multi-modal data integration. • Proven capability in applying rigorous software engineering practices within a scientific or similarly demanding, high-stakes environment. • A strong, demonstrable track record of hands-on technical leadership and significant scientific contributions, as evidenced by publications or conference presentations. • An innate enthusiasm to design, implement, and champion technical and cultural standards that elevate our entire scientific and technical ecosystem. Preferred: • Prior experience with bioinformatics data processing and analysis, showcasing a relevant domain understanding. • Expertise in multi-source data integration, solving complex challenges in disparate datasets. • Practical experience with cloud computing platforms and containerization technologies, enabling scalable deployments. • Knowledge of genetics and/or human genetics, further enhancing your ability to contribute to our core mission. Company: Altos Labs focuses on cellular rejuvenation programming to restore cell health and resilience, to reverse disease to transform medicine. Founded in 2021, the company is headquartered in San Francisco, California, USA, with a team of 201-500 employees. The company is currently Growth Stage. Altos Labs has a track record of offering H1B sponsorships. Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles. 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