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, professional growth, and a collaborative environment.
- Other info: Skilled Worker visa sponsorship available for qualified candidates.
- Why this job: Join us to redefine creativity with cutting-edge AI projects.
- Qualifications: Experience in training generative models and strong software engineering skills.
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 190+ 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.
- English: B2+ (Upper-Intermediate or above), written and spoken.
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.
- Full‑time, on‑site role.
- We’re able to offer Skilled Worker visa sponsorship in the UK for qualified candidates.
Senior / Staff ML Engineer employer: Visa Hunt
Gartner is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a strong emphasis on employee growth, you will have access to mentorship opportunities and resources to advance your career while working in a hybrid model that promotes work-life balance. Located in a vibrant market, Gartner offers the unique advantage of engaging with top executives globally, making your contributions impactful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior / Staff ML Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Visa Hunt.
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We think you need these skills to ace Senior / Staff ML Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Visa Hunt, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Visa Hunt. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Visa Hunt
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Visa Hunt!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
