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- Tasks: Enhance neural network performance and collaborate with ML researchers on cutting-edge projects.
- Company: Recraft is an innovative AI tool for designers, revolutionising image generation since 2022.
- Benefits: Enjoy professional growth, a collaborative environment, and impactful projects in AI creativity.
- Why this job: Join a dynamic team shaping the future of AI in graphic design and make a real difference.
- Qualifications: Experience in optimizing neural networks, proficiency in TensorRT, Python, and understanding GPU architectures required.
- Other info: Be part of a rapidly growing company with over 3 million users worldwide.
The predicted salary is between 43200 - 72000 £ per year.
Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we’re just getting started. Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you’re passionate about pushing the boundaries of AI, we want you on board!
We are seeking an experienced Neural Network Optimization Engineer who will specialize in enhancing the performance, latency, and throughput of neural network inference workflows. The ideal candidate will have substantial hands-on experience optimizing inference workloads using technologies such as TensorRT, Triton language, and model quantization techniques. You will collaborate closely with ML researchers to ensure that our machine learning models run at peak efficiency and reliability in production environments.
Key Responsibilities- Optimize neural network models for inference performance and latency reduction.
- Benchmark, analyze, and improve inference performance on targeted hardware platforms.
- Collaborate with the ML researchers to deploy optimized models in production environments.
- Stay updated with the latest developments in model optimization, inference engines, quantization methods, and related technologies.
- Proven professional experience optimizing neural network inference workloads.
- Strong expertise with TensorRT, Triton language, CUDA programming.
- Experience with neural network quantization techniques.
- Proficiency in Python and PyTorch.
- Deep understanding of GPU architectures and performance optimization.
- Excellent problem-solving skills and ability to analyze performance bottlenecks.
- Opportunities for professional growth and development.
- A collaborative and user-focused work environment.
- The chance to shape the future of AI-powered creativity through research.
- Exciting projects where your insights will directly impact product development.
Interested candidates should submit their CV and a cover letter to careers@recraft.ai. Please include the position name in the subject line. Join Recraft and help shape the future of AI-powered graphic design through groundbreaking research and development!
Neural Network Optimization Engineer Engineering London, UK employer: Recraft, Inc.
Contact Detail:
Recraft, Inc. Recruiting Team
careers@recraft.ai
StudySmarter Expert Advice 🤫
We think this is how you could land Neural Network Optimization Engineer Engineering London, UK
✨Tip Number 1
Familiarise yourself with the latest advancements in neural network optimisation techniques. This will not only help you understand the current landscape but also allow you to discuss relevant topics during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Engage with the AI and machine learning community through forums, webinars, or local meetups. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the position at Recraft.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills by working on personal projects or contributing to open-source initiatives related to neural network optimisation. This hands-on experience can be a great talking point in interviews.
✨Tip Number 4
Research Recraft's products and their applications in the design industry. Understanding how your role as a Neural Network Optimization Engineer fits into their mission will help you articulate your value during discussions with the hiring team.
We think you need these skills to ace Neural Network Optimization Engineer Engineering London, UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Neural Network Optimization Engineer position. Familiarise yourself with the technologies mentioned, such as TensorRT and Triton language, to tailor your application accordingly.
Craft a Tailored CV: Highlight your relevant experience in optimising neural network inference workloads. Be specific about your hands-on experience with the required technologies and any projects that demonstrate your expertise in performance optimisation.
Write a Compelling Cover Letter: In your cover letter, express your passion for AI and creativity. Discuss how your skills align with Recraft's mission and how you can contribute to enhancing their AI tools. Use specific examples from your past work to illustrate your capabilities.
Proofread and Submit: Before sending your application, proofread both your CV and cover letter for any errors. Ensure that you include the position name in the subject line of your email as instructed. Submit your application via the provided email address.
How to prepare for a job interview at Recraft, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with TensorRT, Triton language, and CUDA programming. Bring examples of past projects where you optimised neural network inference workloads, as this will demonstrate your expertise and problem-solving abilities.
✨Understand the Company’s Mission
Familiarise yourself with Recraft's mission to enhance creativity through AI. Be ready to explain how your skills align with their goals and how you can contribute to making their tool an essential resource for designers.
✨Prepare for Technical Questions
Expect in-depth technical questions related to model quantization techniques and performance optimisation. Brush up on your knowledge of GPU architectures and be ready to analyse potential performance bottlenecks during the interview.
✨Demonstrate Collaboration Skills
Since the role involves working closely with ML researchers, highlight your experience in collaborative environments. Share examples of how you've successfully worked in teams to deploy optimised models in production settings.
