ML Research Engineer
ML Research Engineer
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Job Description
Research Engineering (Machine Learning)
We are looking for Research Engineers with different levels of experience - Mid through to Senior Staff Principal or equivalent levels.
We are here to advance human health by re-imagining drug discovery with the power and pace of artificial intelligence.
The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured by better and faster drug discovery.
Our values exist in service of that future. We think theyll help us bring it closer too.
Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals while being a part of an inspiring and collaborative culture.
The world we want tomorrow is the one were building today. It starts with the culture at this company. It starts with you.
Your impact
This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design.
Working in a highly creative iterative environment you will be partnering with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it.
You will draw upon your existing engineering and Machine Learning experience whilst learning from those around you to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.
What you will do
Implementation & Optimisation:
- Translate research concepts into practical implementations by developing and optimising state-of-the-art AI models and building and maintaining robust codebases data pipelines and infrastructure for training and evaluation.
Experimentation & Evaluation:
- Design implement and run experiments to evaluate the performance and robustness of ML models using a full spectrum of state-of-the-art machine learning methods. Evaluating tuning and maintaining AI/ML models (which includes collecting and preparing data as needed)
Evaluation and inference:
- Implement algorithms and software to analyse and evaluate the performance of AI models.
- Optimising performance of AI/ML models (such as) leveraging a deep understanding of the AI/ML hardwaresoftware stack.
- Advise on how to bring AI/ML models to production and/or integrating them into product offerings and monitoring and refining their behavior.
- Developing specialised tools/frameworks/infrastructure to aid in the work above
Collaboration & Knowledge Sharing:
- Work closely with research scientists and engineers contributing to team discussions sharing knowledge and actively participating in code reviews to foster a collaborative environment.
Innovation & Impact:
- Proactively identify and address technical challenges stay updated on the latest AI advancements and focus on developing solutions that enable scaling our wider foundation and applied model platforms.
- Ability to execute on independent engineering projects and software development towards research goals.
Requirements
- PhD in technical subject with major engineering component and exposure to AI/ML or BSc MSc and 2 years of specific experience working on ML model development:
- Strong general engineering experience as evidenced by exposure to one or more of:
- Software design / algorithms especially for deep learning frameworks
- Modern ML frameworks such as JAX PyTorch or TensorFlow
- Distributed systems and runtimes
- Compilers (e.g. XLA Triton CUDA Pallas )
- Large scale model training and serving infrastructure
- Experience in navigating complex research codebases
- Databases and data processing pipelines
- Numerical methods simulation optimisation
- Strong fundamentals in mathematics statistics linear algebra
- Experience with the full ML research and development lifecycle.
- Strong understanding of ML theory and applications.
- Strong understanding of data structures and algorithms.
Nice to have
- Interest in chemistry and biology.
- Experience working with biomedical data.
- Knowledge of the pharmaceutical industry ideally with a focus on drug discovery.
Culture and values
We are guided by our shared values. Its not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.
Thoughtful
Thoughtful at Iso is about curiosity creativity and care. It is about good people doing good rigorous and future-making science every single day.
Brave
Brave at Iso is about fearlessness but its also about initiative and integrity. The scale of the challenge demands nothing less.
Determined
Determined at Iso is the way we pursue our goal. Its a confidence in our hypothesis as well as the urgency and agility needed to deliver on it. Because disease wont wait so neither should we.
Together
Together at Iso is about connection collaboration across fields and catalytic relationships. Its knowing that transformation is a group project and remembering that what were doing will have a real impact on real people everywhere.
Creating an extraordinary company
We believe that to be successful we need a team with a range of skills and talents. Were building an environment where collaboration is fundamental learning is shared and every employee feels supported and able to thrive. We value unique experiences knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact.
We are committed to equal employment opportunities regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Hybrid working
Its hugely important for us to share knowledge and build strong relationships with each other and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model and would require you to be able to come into the office 3 days a week (currently Tuesday Wednesday and one other day depending on which team youre in). If you have additional needs that would prevent you from following this hybrid approach wed be happy to talk through these if youre selected for an initial screening call.
Please note that when you submit an application your data will be processed in line with our .
Employment Type
Full Time
