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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 70000 - 90000 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.
Senior ML Engineer employer: Recraft
Contact Detail:
Recraft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML 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 involving generative models. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions 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 candidates who are genuinely interested in joining Recraft. Tailor your application to highlight how your experience aligns with our mission and values.
We think you need these skills to ace Senior ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior ML Engineer role. Highlight your experience with generative models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and creativity, and explain why you want to join Recraft. Let us know how you can contribute to pushing the boundaries of AI in our team.
Showcase Your Projects: If you've worked on interesting AI projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in model development and deployment. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our innovative team at Recraft!
How to prepare for a job interview at Recraft
✨Know Your Stuff
Make sure you brush up on your knowledge of generative models and the latest advancements in AI. Be ready to discuss your experience with PyTorch and any large-scale projects you've worked on. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed or optimised AI models. Highlight the challenges you faced, how you overcame them, and the impact your work had. This gives interviewers a clear picture of your capabilities and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Recraft's approach to AI and their future projects. This shows your genuine interest in the company and helps you gauge if it's the right fit for you.
✨Demonstrate Your Collaboration Skills
Since the role involves working in a collaborative environment, be ready to discuss how you've worked with others in past projects. Share examples of how you contributed to team success and how you handle feedback. This will highlight your ability to thrive in a team setting.