AI/ML Scientist – Single cell and spatial omics AI/ML Scientist – Single cell and spatial omics We seek an innovative AI/ML scientist to develop foundation models for analyzing high-dimensional genomic data. You will design, optimize, and deploy large language models to extract insights from large datasets uniquely generated by our high throughput platform. The ideal candidate has great mathematical intuition, deep knowledge of single cell/spatial omic data, and experience in implementing modern computational tools. What you will be working on Expand platform capabilities by developing new machine learning algorithms. Identify and source diverse training data for foundation model development. Design training data generation and simulation algorithms to enhance datasets. Increase performance, accuracy, and scalability of our platform. Mine latent space representations for novel insights and ontological frameworks. Establish validation frameworks and benchmarks. Train, validate, and fine-tune models for real-world applications. Collaborate with bioinformaticians, data scientists, and engineers. Stay at the cutting edge of AI/ML advancements. What you should know or have PhD, MS, or BS in Computer Science, Machine Learning, or related field. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of large language models and deep learning. Creative problem-solving and ability to work in multidisciplinary teams. Sampling Human is introducing single-cell and spatial sequencing solutions for clinical applications. We’re revealing a new layer of biological information that enables earlier, more precise insights and drives longer, healthier lives. Our products combine genomic measurements with AI-generated biology in end-to-end data pipelines that redefine what’s measurable at scale. We’re a small, well-funded, mission-driven team of molecular and cell biologists, software and automation engineers, mathematicians, computer scientists, and business professionals, all building at the convergence of computation and biology. At Sampling Human, you’ll do foundational work, chase ambitious ideas, and deliver products that directly impact health. You’ll also get access to a cutting-edge tech stack and proprietary datasets that uncover the most interesting cells in the human body at scale. If you want to build human informatics from the ground up, you are in the right place. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Referrals increase your chances of interviewing at Sampling Human by 2x Get notified about new Artificial Intelligence Researcher jobs in Berkeley, CA . Senior Machine Learning Engineering Manager Senior Machine Learning Engineering Manager -- Teamwork Graph Machine Learning Engineering Manager, Safeguards Senior Machine Learning Engineering Manager - Pricing & Incentives San Francisco, CA $257,000.00-$285,500.00 3 weeks ago Machine Learning Engineering Manager, Content Safety San Mateo, CA $289,460.00-$338,270.00 2 weeks ago Solution Architect - Artificial Intelligence & Machine Learning - Consumer Business Group Senior Machine Learning Engineering Manager - Knowledge Graph Postdoctoral Researcher, Fundamental AI Research (PhD) San Francisco, CA $146,800.00-$244,700.00 2 weeks ago Applied AI Engineer & Researcher - Post Training San Francisco, CA $130,000.00-$230,000.00 3 months ago San Francisco, CA $160,000.00-$230,000.00 1 day ago Research Engineer - Machine Learning (ML) San Francisco, CA $135,000.00-$200,000.00 2 months ago Fundamental AI Research Scientist, Computer Vision - FAIR San Francisco, CA $147,000.00-$208,000.00 2 weeks ago Machine Learning Researchers (Open-Endedness) - Open Level San Francisco, CA $150,000.00-$225,000.00 4 months ago San Francisco, CA $140,000.00-$215,000.00 4 weeks ago Machine Learning Engineer for Game Technology Machine Learning Engineer, AI/ML for Drug Discovery San Francisco, CA $88,000.00-$140,000.00 4 weeks ago San Francisco, CA $170,000.00-$250,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
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