At a Glance
- Tasks: Join a team to design and optimise AI infrastructure for groundbreaking drug discovery.
- Company: Isomorphic Labs, a pioneering biotech firm using AI to revolutionise health.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by working on cutting-edge AI technology.
- Qualifications: Experience with large-scale AI workloads and cloud infrastructure, preferably GCP.
- Other info: Collaborative culture focused on innovation and diverse perspectives.
The predicted salary is between 36000 - 60000 £ per year.
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. 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 starting with better and faster drug discovery. 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.
About Iso
Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting‑edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.
Your impact
We are building the largest foundation models in biotech and applying them immediately to cure disease. You will play a key role and work at a grand scale to deliver the foundations that make this happen. By partnering with in-house machine learning experts and biotech researchers you will join a team to efficiently scale and plan the base on which our groundbreaking AI is built.
What you will do
- You will focus on the end‑to‑end GPU/TPU (accelerator) strategy, designing infrastructure, optimizing performance, and integrating new hardware to leverage advancements.
- In partnership with our Machine Learning Platform team, regularly work in the environment to push and support deployments.
- Regularly be building, monitoring and managing cluster deployments.
- Support the technical strategy around hardware acquisition and deployment decisions.
- Drive research and efficiency design around the infrastructure up to the point of service to the ML platforms teams.
- Contribute to the efforts for consistently improving the reliability of our ML runs.
- Operate and handle research, development, and production cloud infrastructure and systems.
- Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations.
- Contribute to core technical decisions (e.g. choice of tooling, infrastructure, and architectural design).
Skills and qualifications
- Possess real world experience of large scale AI/ML workloads.
- Have experience working in cloud compute infrastructure design, preferably GCP.
- Possess strong programming skills.
- Have significant experience working and deploying in Kubernetes.
- Familiarity with the Nvidia GPU generations.
Nice to have:
- Have a background in either ML SWE or infrastructure SRE work to build on.
- Have experience leading and delivering projects to multidisciplinary stakeholders.
- Familiarity with Google TPU generations.
- Familiarity with: workload scheduling; machine learning efficiency research; familiarity with ML‑driven R&D cycles; familiarity with hardware benchmarking.
Culture and values
- 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 it’s also about initiative and integrity. The scale of the challenge demands nothing less.
- Determined: Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.
- Together: Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re 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. We're 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. It’s 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 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 you’re in). 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.
Software Engineer (Fleet Management), London London employer: Isomorphic Labs Limited
Contact Detail:
Isomorphic Labs Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Fleet Management), London London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Isomorphic Labs. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI/ML. This gives you a chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for the interview by brushing up on relevant technologies and concepts. Be ready to discuss your experience with cloud infrastructure, Kubernetes, and any AI/ML projects you've worked on. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Isomorphic Labs.
We think you need these skills to ace Software Engineer (Fleet Management), London London
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for AI and biotech! Share any personal projects or experiences that highlight your interest in these fields. We love to see candidates who are genuinely excited about what we do.
Tailor Your Application: Make sure to customise your CV and cover letter for the Software Engineer role. Highlight relevant skills and experiences that align with our mission at IsoLabs. This shows us you’ve done your homework and are serious about joining our team.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Isomorphic Labs Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around GPU/TPU strategies and Kubernetes. Brush up on your programming skills and be ready to discuss your experience with cloud compute infrastructure design, particularly GCP.
✨Showcase Your Collaborative Spirit
Isomorphic Labs values teamwork, so be prepared to share examples of how you've successfully collaborated with diverse teams in the past. Highlight any experiences where you partnered with machine learning experts or biotech researchers to achieve a common goal.
✨Demonstrate Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios related to infrastructure design and performance optimisation during the interview. Think about how you would approach challenges in scaling AI workloads and improving ML run reliability.
✨Embrace the Company Culture
Familiarise yourself with IsoLabs' culture and values: Thoughtful, Brave, Determined, and Together. Prepare to discuss how your personal values align with theirs and how you can contribute to their mission of advancing human health through innovative science.