At a Glance
- Tasks: Build and maintain training frameworks for large-scale language models.
- Company: Cohere, a diverse and inclusive tech company in Greater London.
- Benefits: Competitive health coverage, generous vacation, and flexible remote options.
- Other info: Exciting opportunity for career growth in a dynamic work environment.
- Why this job: Join a cutting-edge team and shape the future of language technology.
- Qualifications: Strong engineering experience with distributed systems and containerised environments.
The predicted salary is between 70000 - 90000 £ per year.
Cohere is seeking a Senior Engineer in Greater London to build and maintain the training framework for large-scale language models. This role involves designing distributed training components, improving training throughput, and working closely with infrastructure teams.
The ideal candidate should have strong engineering experience and familiarity with distributed systems and containerized environments.
We offer a diverse and inclusive workplace, along with competitive benefits such as health coverage, generous vacation time, and flexible remote options.
Senior ML Training Frameworks Engineer — Remote-friendly in London employer: Cohere
Cohere is an exceptional employer that champions a diverse and inclusive workplace, offering competitive benefits including comprehensive health coverage, generous vacation time, and flexible remote working options. As a Senior ML Training Frameworks Engineer in Greater London, you will have the opportunity to work on cutting-edge technology while collaborating with talented teams, fostering both personal and professional growth in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Training Frameworks Engineer — Remote-friendly in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Cohere or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to distributed systems and ML frameworks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of distributed training components and containerized environments. Practice coding challenges and system design questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Training Frameworks Engineer — Remote-friendly in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with distributed systems and containerized environments. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about building training frameworks for large-scale language models. Let us know what excites you about this role and how you can contribute to our team.
Showcase Your Engineering Experience:We’re looking for strong engineering backgrounds, so make sure to detail your previous work in similar roles. Highlight any specific achievements or projects that demonstrate your ability to improve training throughput and design distributed components.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our diverse and inclusive workplace.
How to prepare for a job interview at Cohere
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies and frameworks relevant to distributed systems and containerized environments. Brush up on your knowledge of large-scale language models and be ready to discuss how you've applied these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in engineering roles, particularly around improving training throughput. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand Their Infrastructure
Research Cohere’s existing infrastructure and any recent developments in their technology stack. This will not only show your interest but also help you ask insightful questions about how you can contribute to their goals.
✨Emphasise Team Collaboration
Since this role involves working closely with infrastructure teams, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with cross-functional teams to achieve common objectives.
