The Role

We seek an innovative AI/ML engineer 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. No biology/genomics background is required. But you should be excited to reveal human biology at unprecedented resolution using AI.

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.

Our Opportunity

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.