Software Engineer (Machine Learning), Lausanne

Key Skills

Aartificial intelligence, Algorithms, C++, Data structuring, Deep Learning, Design, Drug Discovery, Google Cloud Platform (GCP), Java Programming, JAX framework, Machine learning techniques, MLOps tools, Python Programming, PyTorch, Statistics, TensorFlow

Job Description

We are looking for engineers with various levels of experience - Mid through to Senior, Principal, Staff or equivalent levels.

Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach. 

We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people. 

Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture.

Your impact 

This is an exciting opportunity for you to work on a greenfield ML-based software platform that will transform the biopharmaceutical world as we know it.

Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution.

What you will do

• Design and create a world-leading ML drug discovery platform by developing secure, scalable, cloud-based software and libraries
• Develop tools to enable large-scale machine learning experiments.
• Partner with the ML Research, Drug Design, and Data Engineering teams to design, develop, train, and evaluate a variety of cutting edge ML models.
• Maximise model performance, scalability, and robustness for production use within our computational platform.
• Collaborate with the MLOps team to support model operation in production.
• Create novel instrumental drug discovery tools in partnership with domain experts, taking end-to-end ownership from rapid prototyping to production-quality code
• Iterate collaboratively with scientists and domain experts to gather feature requirements and user feedback

Skills and qualifications 

Essential

• Strong experience with developing large-scale machine learning models
• Experience with a variety of modern ML frameworks in production settings, including at least one of PyTorch, JAX, or TensorFlow
• Experience with the full ML development lifecycle
• Experience partnering with research and product teams to prototype then productionise ML models - particularly Deep Learning and Neural Networks
• Strong software engineering experience with software design / architecture skills
• Extensive programming experience writing production code using any mainstream programming languages, e.g. Python, Java, C++, Go
• Experience building secure/scalable platforms/products on cloud
• Demonstrate ongoing career progression / trajectory and a passion for learning
• Either a Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• Strong understanding of data structures and algorithms
• Basic understanding of maths and statistics

Nice to have

• Strong experience in Python
• Basic knowledge of biology / chemistry
• Experience working with biomedical data
• Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery
• Experience building, deploying and maintaining production systems on GCP