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For Companies At a Glance
- Tasks: Deploy and optimise cutting-edge ML models in a collaborative, interdisciplinary team.
- Company: Join Latent Labs, pioneers in generative AI and biology.
- Benefits: Competitive pay, private health insurance, generous leave, and hybrid working options.
- Why this job: Make a real impact on global health by shaping the future of synthetic biology.
- Qualifications: Experience with Kubernetes, cloud platforms, and ML frameworks like PyTorch.
- Other info: Dynamic work environment with opportunities for travel and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
The opportunity
We are looking for a highly skilled machine learning research engineer with significant experience in training and implementing large scale generative models. In this role you will manage our high performance computing environment, and our model serving initiatives. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases.
Who we are
At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.
Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.
Who you are
- Deep experience with Kubernetes and containerized workflows
- Experience with major cloud platforms (AWS, GCP, Azure)
- Knowledge of DevOps and related tools (Terraform, etc)
- Knowledge of HPC frameworks (Slurm, Ray, etc)
- Production engineering & reliability experience
- PyTorch & distributed computing experience
Your Responsibilities
- Deploy, maintain, and optimize production and research compute clusters
- Design and implement scalable and efficient ML inference solutions
- Develop dynamic / heterogeneous compute solutions for balancing research and production needs
- Contribute to productizing model APIs for external use
- Develop infrastructure observability and monitoring solutions
We offer strongly competitive compensation and benefits packages, including:
- Private health insurance
- Pension/401(K) contributions
- Generous leave policies (including gender neutral parental leave)
- Hybrid working
- Travel opportunities and more
We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Member of Technical Staff - ML Engineering employer: Latent Labs
Contact Detail:
Latent Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff - ML Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Latent Labs. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open-source that highlight your experience with Kubernetes or PyTorch, make sure to share them during interviews or networking events.
✨Tip Number 3
Prepare for technical challenges! Brush up on your knowledge of HPC frameworks and cloud platforms. We love seeing candidates who can tackle real-world problems on the spot.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Member of Technical Staff - ML Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes, cloud platforms, and ML frameworks. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're passionate about machine learning and biology. Share your journey, your motivations, and how you can contribute to our moonshot mission at Latent Labs.
Showcase Your Projects: If you've worked on any interesting projects related to generative models or HPC frameworks, make sure to include them! We love seeing practical applications of your skills and how you tackle complex challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Latent Labs
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Kubernetes, cloud platforms, and HPC frameworks. Be ready to discuss your hands-on experience with these technologies, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex challenges in ML engineering. Think about times when you had to balance research and production needs, and be ready to explain your thought process and the impact of your solutions.
✨Emphasise Collaboration
Since the role involves working with an interdisciplinary team, highlight your experience in collaborative environments. Share stories that demonstrate your ability to communicate effectively with team members from different backgrounds, like biologists or protein engineers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and culture. This shows your genuine interest in their mission and helps you assess if it's the right fit for you. Consider asking about their approach to model serving or how they foster continuous learning within the team.
