Research Engineer (Member of Technical Staff) at Anthrogen

About the role

Join Anthrogen.com as a Research Engineer to bridge the gap between biological data and machine learning. You will focus on the engineering challenges of pre-training, inference, and model interpretability.

Responsibilities

• Design and implement scalable systems for pre-training large-scale models and optimizing inference performance for complex biological datasets.
• Develop sophisticated tools and methodologies for model interpretability to better understand and guide the learning process of frontier AI.
• Collaborate closely with the research team to translate theoretical advancements into robust, production-ready engineering solutions.

Requirements

• Holds a degree in Computer Science from a top-tier program (e.g., MIT, Caltech), with an ideal background or double major in Biology.
• Possesses 1-2 years of professional experience working in a frontier research lab or a high-growth, research-focused startup environment.
• Demonstrates exceptional technical proficiency in machine learning frameworks and a deep understanding of model architecture, training, and deployment.

Qualifications

• Exceptionally bright engineers who want to apply a research-focused lens to complex technical problems in the biotech space.

Skills

• Strong programming skills in Python, C++, or other relevant languages.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Knowledge of biological data processing and analysis techniques.
• Excellent problem-solving and analytical skills.

Benefits

• Work in the heart of San Francisco with a team of elite researchers and engineers.
• Engage in high-impact work involving the pre-training and interpretation of frontier models that push the boundaries of current scientific capabilities.
• Collaborate directly with founders and top-tier graduates from world-renowned institutions like MIT and Caltech.

Pay

Not Disclosed

Schedule

Not Disclosed

Benefits

• Flexible work schedule.
• Competitive compensation package.
• Health insurance benefits.
• Professional development opportunities.