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- Tasks: Develop and optimise AI models, pushing the boundaries of machine learning.
- Company: Recraft, an innovative AI tool for designers and marketers.
- Benefits: Competitive salary, equity, professional growth, and collaborative environment.
- Why this job: Join a cutting-edge team redefining creativity with AI technology.
- Qualifications: Experience in training generative models and strong software engineering skills.
- Other info: Contribute to open-source AI research and enjoy leadership opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Us
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!
Job Description
We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting‑edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production‑level deployment, this role offers the opportunity to work at the forefront of generative AI innovation.
Key Responsibilities
- Develop and train large‑scale generative models, pushing the boundaries of AI capabilities.
- Design and run experiments to explore and refine model architectures, analyze results, and implement data‑driven improvements.
- Continuously innovate by developing and deploying new features that enhance user experiences.
Requirements
- Proven experience in training large‑scale generative models (e.g., image generation, audio synthesis, or large language models).
- Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics.
- Strong proficiency in PyTorch and familiarity with state‑of‑the‑art neural network architectures.
- Hands‑on experience building end‑to‑end machine learning pipelines, including data collection and pre‑processing, model training and evaluation, inference serving.
- Strong software engineering skills, ability to design, implement and maintain high‑quality code.
What We Offer
- Competitive salary and equity.
- Opportunities for professional growth and leadership.
- A collaborative, research‑driven environment.
- The chance to work on cutting‑edge AI projects that redefine creative workflows.
- The opportunity to contribute to open‑source AI research and publications.
ML Research Engineer employer: Recraft
Contact Detail:
Recraft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to generative models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. Tailor your application to highlight how your experience aligns with our mission at Recraft.
We think you need these skills to ace ML Research Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and machine learning. Share any personal projects or experiences that highlight your dedication to pushing the boundaries of technology.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the ML Research Engineer role. Highlight relevant experience with generative models and showcase your skills in PyTorch and software engineering to grab our attention.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experience and achievements, making it easy for us to see how you fit into our team.
Apply Through Our Website: We encourage you to apply directly through our website. This way, you can ensure your application reaches us quickly and efficiently, and you’ll be one step closer to joining our innovative team!
How to prepare for a job interview at Recraft
✨Know Your AI Models
Make sure you brush up on the latest advancements in generative models, especially those related to image generation and large language models. Be ready to discuss your experience with training these models and any specific projects you've worked on that showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, particularly when it comes to optimising AI models or improving user experiences. Use specific examples to illustrate your thought process and the impact of your solutions.
✨Familiarise Yourself with PyTorch
Since strong proficiency in PyTorch is a must, ensure you're comfortable discussing its features and how you've used it in your past projects. You might even want to prepare a mini demo or code snippet to show your hands-on experience.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Recraft's approach to AI and their future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals.