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For Companies At a Glance
- Tasks: Build and enhance training frameworks for cutting-edge AI models.
- Company: Leading AI research firm in Greater London with a focus on innovation.
- Benefits: Autonomy, significant impact, and a dynamic work environment.
- Why this job: Join a fast-paced team and shape the future of AI technology.
- Qualifications: Strong engineering experience in large-scale training and familiarity with JAX.
The predicted salary is between 54000 - 84000 £ per year.
A leading AI research firm, located in Greater London, is seeking a Senior System Engineer to build and evolve the training framework underlying frontier-scale models. This role focuses on distributed systems and high-performance computing. Ideal candidates will have strong engineering experience in large-scale training, familiarity with JAX, and the capability to enhance performance across ML systems. The position offers autonomy and significant impact in a diverse and fast-paced environment.
Senior ML Systems Engineer: Training Frameworks & Tools in London employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Systems Engineer: Training Frameworks & Tools in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those who work at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with distributed systems and high-performance computing. This will make you stand out when you get to the interview stage.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your past projects and how you've tackled challenges in ML systems. Mock interviews with friends can help you nail down your responses.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior ML Systems Engineer: Training Frameworks & Tools in London
Some tips for your application 🫡
Show Off Your Engineering Skills: Make sure to highlight your engineering experience in large-scale training. We want to see how you've tackled complex problems and what tools you've used, especially if you’ve worked with JAX or similar frameworks.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention specific projects or experiences that relate to distributed systems and high-performance computing.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured information that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Cohere
✨Know Your Tech Inside Out
Make sure you’re well-versed in distributed systems and high-performance computing. Brush up on your knowledge of JAX and be ready to discuss how you've used it in past projects. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to ML systems during the interview. Think about challenges you've faced in large-scale training and how you overcame them. This will demonstrate your engineering experience and ability to think critically.
✨Emphasise Autonomy and Impact
This role offers a lot of autonomy, so be ready to discuss times when you took initiative in previous roles. Highlight projects where your contributions made a significant impact, showcasing your ability to thrive in a fast-paced environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it’s a great way to engage with your interviewers!
