At a Glance
- 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, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to contribute to open-source research.
- Why this job: Join a cutting-edge team redefining creativity with AI technology.
- Qualifications: Experience in training generative models and strong software engineering skills.
The predicted salary is between 36000 - 60000 £ 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, Inc.
Recraft is an exceptional employer that fosters a collaborative and research-driven environment, perfect for ML Research Engineers eager to push the boundaries of AI innovation. Based in London, we offer competitive salaries, equity options, and ample opportunities for professional growth, allowing you to contribute to groundbreaking projects that redefine creative workflows. Join us to be part of a dynamic team dedicated to empowering creators with cutting-edge AI tools and making a significant impact in the industry.
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 to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to generative models. This is your chance to demonstrate your expertise in PyTorch and machine learning pipelines, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI and machine learning concepts. Be ready to discuss your past experiences and how they relate to the role at Recraft. Practice common interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to push the boundaries of creativity with AI.
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 your enthusiasm for AI and machine learning shine through. We want to see how your passion aligns with our mission at Recraft to push the boundaries of creativity using AI.
Tailor Your Experience:Make sure to highlight your relevant experience in training large-scale generative models. We’re looking for specific examples that showcase your skills in model development and deployment, so don’t hold back!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it’s necessary!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Recraft!
How to prepare for a job interview at Recraft, Inc.
✨Know Your AI Models Inside Out
Make sure you’re well-versed in the generative models relevant to the role. Brush up on your experience with image generation, audio synthesis, and large language models. Be ready to discuss specific projects where you've trained these models and the challenges you faced.
✨Showcase Your Experimentation Skills
Prepare to talk about your approach to designing and running experiments. Highlight how you analyse results and implement data-driven improvements. Sharing examples of past experiments can really demonstrate your hands-on experience and innovative mindset.
✨Demonstrate Your Software Engineering Prowess
Since strong software engineering skills are a must, be ready to discuss your coding practices. Talk about your experience with PyTorch and any state-of-the-art neural network architectures you've worked with. If possible, bring along code samples or projects that showcase your ability to maintain high-quality code.
✨Emphasise Collaboration and Growth
Recraft values a collaborative environment, so highlight your teamwork experiences. Discuss how you’ve contributed to group projects and your willingness to learn from others. Also, express your enthusiasm for professional growth and how you see yourself evolving within the company.
