Machine Learning Engineer II

Key Skills

Aartificial intelligence, C++, Machine learning techniques, Planning and organization, Python Programming, PyTorch, TensorFlow

Job Description

Our team is focused on accelerating the discovery and development of novel RNA therapeutics. This work explores the exciting potential of applying state-of-the-art machine learning and AI to life sciences and drug discovery. We're looking for an accomplished Machine Learning Engineer to help us make this vision a reality. Strong candidates will have a track record of shipping high performing AI/ML powered products in production environments, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning. Educational or professional background in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is required.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. 

In this role you will

• Builds models, services, and libraries that fulfil the stated API contract and metrics for project
• Effectively iterates on model design, training process design, code abstractions, etc. to improve key metrics of their model, service, or library
• Aggressively tests their code to ensure the specification is met
• Proactively communicates problems, delays, and changes to project lead or senior engineers and asks for help
• Engages with code review and views it as a learning tool to improve engineering practice
• Commits code early and often, and seeks feedback along the way when needed
• Frequently demos work and/or lessons learned for their team or for the organization

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

• Graduate studies in Computer Science or Applied Mathematics, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. 
• Industry experience in software engineering in python and/or C++ 
• Understanding and application of best practices in Machine Learning, with breadth across the ML stack
• Have shipped products powered by machine learning

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus: 

• PhD in Computer Science 
• Understanding of modern ML Architectures, Platforms, and backend systems, including PyTorch or TensorFlow
• Experience applying ML methods to problems in the biology or life sciences domain
• Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services 
• Track record of contributing to open source projects 
• Mentality of commit early and often, metrics before models, and shipping high quality production code 

Closing Date for Applications: Monday 2nd September 2024 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert.

When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.