Software Engineer, Machine Learning

Job content

Software Engineer, Machine Learning, London or Lausanne

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

This is an extraordinary opportunity to join a new Alphabet company that will reimagine drug discovery through a computational- and AI-first approach.

We are assembling a world-class, multi-disciplinary team who want to drive forward groundbreaking innovations. As one of the first members of this pioneering organisation, you will play a meaningful role in building this team, embodying an inspiring, collaborative and entrepreneurial culture.

This early-stage venture is 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’ and advancing a new type of biotech that will deliver transformative social impact for the benefit of millions of people.

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

Behaviours and attributes

• Grounded and original thinker: you combine the best from industry with new ideas and creative approaches, taking well-informed risks to advance progress
• Motivated by purpose and impact: Self-directed, chooses the most effective path to maximise impact in pursuit of higher level purpose, operates at pace with a clear bias for action
• Experimental: Comfortable with ambiguity, embraces new ideas, responds quickly and adapts to maximise opportunities
• Collaborative and inclusive: you are willing to go the extra mile and work beyond role remit, building strong partnerships with a variety of collaborators
• Curious mindset: Strong interest in self-development, learns from setbacks as well as successes
  
  

Hybrid working: It’s hugely important for us to be able to share knowledge and establish relationships with each other, and we find it easier to do this if we spend time together in person. This is why we’ve decided to follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tue, Wed, and one other day depending on which team you’re in). As an equal opportunities employer we are committed to building an equal and inclusive team. If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.

Isomorphic Labs welcomes applications from all sections of society. We are committed to equal employment opportunity regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and parental; race; religion or belief; sex; sexual orientation or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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