At a Glance
- Tasks: Assist in training and evaluating machine learning models for real-world applications.
- Company: Recraft, an innovative AI tool company based in London.
- Benefits: Hands-on experience, mentorship, and a collaborative environment.
- Other info: Great opportunity to work on impactful AI projects in a growing tech company.
- Why this job: Join a cutting-edge team and shape the future of creativity with AI.
- Qualifications: Pursuing a degree in Computer Science or related field with Python 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!
About the Role
As a Junior Machine Learning Engineer at Recraft, you will have the opportunity to work on real-world AI applications, gaining hands-on experience in model development, data collection, evaluation, and production deployment. You will collaborate with research scientists, engineers, and product teams to help enhance Recraft’s AI-driven creative tools. If you are passionate about machine learning, deep learning, and AI-driven applications, this is a great opportunity to learn and contribute to impactful projects.
Key Responsibilities
- Assist in training, testing, and evaluating machine learning models for real-world applications.
- Support data collection and processing for model development.
- Conduct experiments and model evaluations, helping improve accuracy and efficiency.
- Develop and train large-scale generative models, pushing the boundaries of AI capabilities.
- Work closely with ML engineers and researchers to implement AI techniques into production workflows.
- Stay updated with the latest trends in AI and deep learning, contributing fresh ideas to the team.
Qualifications
- Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, AI, or a related field.
- Reliable Python coding skills.
- Knowledge and understanding of foundational deep learning concepts, possibly in application to computer vision, NLP, or speech synthesis or recognition.
- Experience with data preprocessing and model evaluation.
- Familiarity with MLOps tools is a plus.
- Strong analytical skills and ability to work in a collaborative, fast-paced environment.
What We Offer
- Hands-on experience in AI and machine learning.
- Mentorship from experienced ML engineers and researchers.
- The opportunity to work on real-world AI projects in a growing tech company.
- A collaborative and innovative environment.
Junior Machine Learning Engineer employer: Recraft
Recraft is an exceptional employer for aspiring Junior Machine Learning Engineers, offering a vibrant work culture in the heart of London. With a commitment to innovation and professional growth, employees benefit from hands-on experience in AI applications, mentorship from industry experts, and the chance to contribute to groundbreaking projects that shape the future of creativity. Join us to be part of a dynamic team that values collaboration and pushes the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and machine learning space on platforms like LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews – it’s all about making connections that could lead to opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. Whether it's GitHub repos or personal projects, having tangible evidence of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common machine learning interview questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to 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 Recraft and contributing to our mission of pushing AI boundaries.
We think you need these skills to ace Junior Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for machine learning and AI. Share any projects or experiences that highlight your interest and skills in this area. We love seeing candidates who are genuinely excited about pushing the boundaries of technology!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Junior Machine Learning Engineer role. Highlight relevant coursework, projects, and skills that align with our job description. This shows us that you’ve done your homework and are serious about joining our team.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it’s super easy to do, so why not?
How to prepare for a job interview at Recraft
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals. Understand key concepts like model training, evaluation, and data processing. Being able to discuss these topics confidently will show that you're serious about the role.
✨Show Your Passion for AI
Recraft is all about pushing the boundaries of AI, so let your enthusiasm shine through! Share any personal projects or experiences related to AI and machine learning. This will demonstrate your commitment and eagerness to contribute to their innovative environment.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice coding problems in Python and be ready to explain your thought process. Familiarity with MLOps tools can also give you an edge, so don’t hesitate to mention any relevant experience.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared. Inquire about the team’s current projects or the latest trends in AI that they’re excited about. This shows that you’re not just interested in the job, but also in the company’s vision and future.
