Machine Learning Engineer

Founding Machine Learning Engineer

An early-stage startup led by veterans from top AI labs is using machine learning to unlock breakthroughs in RNA biology. This is an opportunity to join a team at the cutting edge of AI-driven molecular design, where your work will directly accelerate the development of next-generation therapeutics and biological systems.

As an early hire, you'll have significant ownership over the technical stack and play a key role in shaping the company's culture and trajectory. If you're excited by the idea of building scalable ML systems in a fast-moving, interdisciplinary environment, this role is for you.

Responsibilities

• Design and implement high-performance training pipelines for large-scale RNA models.
• Develop distributed training strategies across multi-GPU/TPU environments for maximum efficiency.
• Build robust data infrastructure for ingesting, cleaning, and managing complex biological datasets.
• Collaborate with research scientists to translate RNA-focused challenges into ML solutions.
• Contribute to model architecture design, fine-tuning strategies, and performance benchmarking.
• Establish best practices for reproducibility, testing, and deployment in ML workflows.

Qualifications

• 4+ years of experience in machine learning engineering or related roles.
• Strong programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow).
• Hands-on experience training large-scale models (transformers, diffusion, or similar).
• Expertise in distributed training, optimization, and performance profiling.
• Proven ability to deliver production-grade ML systems.

Preferred:

• Experience with biological or other high-dimensional scientific data.
• Background in computational biology, bioinformatics, or aligned fields.