Member of the Technical Staff, Computer Vision Model Training

Conquest; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Conquest is seeking an AI Scientist/Engineer to advance groundbreaking oncology-focused AI research. You will combine theoretical physics thinking with deep learning to learn from biological data at scale.

You will work on perturbation–response modeling, data campaigns on robotic platforms, and managing big biological datasets, with production-grade coding practices and a strong emphasis on collaboration.

Qualifications

• MS/PhD/Postdoc in Physics, Applied Mathematics, or Computer Science (or related field).
• Expertise in ML, statistics, and deep learning.
• Experience with biology-related data is a plus.

Responsibilities

• Develop novel approaches and train models for perturbation–response prediction in high-dimensional systems.
• Co-design data-for-models experiments at scale on robotic platforms.
• Wrangle and leverage large biological data sets and foundational models from public data.

Skills

ML & statistics

Deep learning

Gaussian processes

Transformers

Production coding

Education

Physics

Applied Mathematics

Computer Science

Tools

Python

PyTorch

TensorFlow

NumPy

Pandas

Job description

We are seeking a top-tier AI Scientist / Engineer to join our "Mars-shot" AI startup that aims to reinvent cancer therapy. This unique role offers the opportunity to contribute to groundbreaking advancements in oncology and beyond by combining theoretical physics thinking and cutting edge deep learning methodology to generate and learn from biological data at scale.

Responsibilities

• Develop novel approaches and train models for prediction of perturbation-response in a complex, high-dimensional dynamical system

• Co-design data-for-models experimental campaign at scale on robotic platform

• Wrangle/stand up/leverage large structured data sets and foundational models for biology from public domain

• Oversee data infrastructure across pipeline from software development environment to wet lab

Requirements

• In office 5 days a week

• MS/PhD/Postdoc in Physics, Applied Mathematics, Computer Science, or a related field.

• Expertise in classic ML and statistics, deep learning, Gaussian processes, transformers+self attention

• Zeal for best practices in group development and coding to production

• Past experience working with biological data a plus

Tech Stack

• Python

• PyTorch

• TensorFlow

• NumPy

• Pandas