At a Glance
- Tasks: Lead a team to develop deep learning infrastructure and bridge research with production.
- Company: Deepstreamtech, a leader in AI innovation based in Greater London.
- Benefits: Competitive salary, dynamic work environment, and opportunities to collaborate with top AI labs.
- Other info: Join a vibrant team at the forefront of AI technology.
- Why this job: Make a significant impact in AI by leading cutting-edge research engineering projects.
- Qualifications: 7+ years in software engineering, strong leadership, and expertise in Python and cloud management.
The predicted salary is between 80000 - 120000 € per year.
Deepstreamtech is seeking a Manager of Research Engineering in Greater London to lead the team at the intersection of academic research and software engineering. You will oversee the development of a robust infrastructure for deep learning, manage a team of engineers, and act as a bridge between research and production.
The ideal candidate has over 7 years of software engineering experience, a strong understanding of product-oriented leadership, and deep expertise in Python and cloud resource management. The position offers a chance to work in a cutting-edge environment with top AI labs.
Head of Research Engineering & ML Infrastructure employer: Deepstreamtech
Deepstreamtech is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration at the forefront of AI research and software engineering. Located in Greater London, employees benefit from access to top-tier resources and opportunities for professional growth, while being part of a team that bridges the gap between academic research and practical application. With a commitment to employee development and a focus on cutting-edge technology, Deepstreamtech provides a rewarding environment for those looking to make a significant impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Research Engineering & ML Infrastructure
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to deep learning and cloud infrastructure. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. We recommend practising common interview questions and scenarios specific to research engineering and team management.
✨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 are proactive about their job search.
We think you need these skills to ace Head of Research Engineering & ML Infrastructure
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Head of Research Engineering role. Highlight your software engineering experience, especially in Python and cloud resource management, to show us you're the perfect fit!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about bridging research and production. Share specific examples of how you've led teams and managed projects in the past to give us a taste of your leadership style.
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Quantify your successes where possible, like improvements in efficiency or successful project completions. This helps us see the impact you've made in previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and cloud resource management. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Style
As a potential manager, it's crucial to demonstrate your leadership approach. Prepare examples of how you've successfully led teams in the past, particularly at the intersection of research and engineering. Highlight your ability to bridge gaps between different disciplines.
✨Understand the Company’s Vision
Research Deepstreamtech and their current projects. Familiarise yourself with their work in AI and deep learning. This will not only help you answer questions but also allow you to ask insightful ones, showing your genuine interest in their mission.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about situations where you had to make tough decisions or manage conflicting priorities, especially in a research environment. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
