RNA ML Engineer — Scale & Deploy Foundation Models

Blank Bio; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision coverage

Generous vacation and parental leave policies

Job summary

Blank Bio in San Francisco is seeking a Machine Learning Engineer to develop scalable training infrastructures for RNA foundation models. You will optimize performance and maintain high engineering standards while collaborating with interdisciplinary teams.

The ideal candidate has over 3 years of experience in ML, proficiency in Python, and knows deep learning frameworks like PyTorch and TensorFlow. Attractive compensation, equity, and great benefits await for the right individual.

Qualifications

• 3+ years of work experience as a Machine Learning Engineer.
• Hands-on experience in training large-scale models (transformers, diffusion, sequence models).
• Strong background in distributed training and performance profiling.

Responsibilities

• Develop and optimize large-scale ML training pipelines for RNA foundation models.
• Implement distributed training systems and optimize performance at scale.
• Collaborate with scientists to translate biological questions into ML tasks.

Skills

Proficiency in Python

Knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow)

Experience in distributed training

Building scalable ML systems

Job description

Blank Bio in San Francisco is seeking a Machine Learning Engineer to develop scalable training infrastructures for RNA foundation models. You will optimize performance and maintain high engineering standards while collaborating with interdisciplinary teams.

The ideal candidate has over 3 years of experience in ML, proficiency in Python, and knows deep learning frameworks like PyTorch and TensorFlow. Attractive compensation, equity, and great benefits await for the right individual.