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- 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.
- 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.
- Other info: Great opportunity to work on impactful AI projects in a growing tech company.
The predicted salary is between 30000 - 42000 £ 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 are 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 are 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 in London employer: Recraft
Contact Detail:
Recraft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech 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 machine learning and AI. 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 practising common interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Recraft.
We think you need these skills to ace Junior Machine Learning Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us know why you're excited about machine learning and AI. Share any projects or experiences that highlight your enthusiasm and how they relate to the role at Recraft.
Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored specifically for the Junior Machine Learning Engineer position. Highlight relevant skills, coursework, and any hands-on experience you have with Python and machine learning concepts.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We want to see your skills and experiences without having to sift through fluff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Recraft!
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 mission.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on Python coding skills and be ready to solve problems on the spot. Practising coding challenges can help you feel more comfortable and confident when faced with these questions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or the latest trends in AI that Recraft is exploring. This shows your genuine interest in the company and the role, making a lasting impression.
