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- Tasks: Create cutting-edge ML products to enhance Snapchat's augmented reality experiences.
- Company: Innovative tech company in London focused on collaboration and inclusion.
- Benefits: Comprehensive benefits, inclusive culture, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AR technology.
- Qualifications: Strong machine learning background and proficiency in Python or C++.
- Other info: Exciting projects with a focus on user feedback and innovation.
The predicted salary is between 28800 - 48000 £ per year.
A technology company in London is seeking a Machine Learning Engineer to develop innovative ML products that enhance Snapchat. The role involves building augmented reality experiences and collaborating with various teams to refine products through user feedback.
Ideal candidates should have:
- a strong background in machine learning,
- experience with Python or C++,
- a bachelor's in a technical field.
The company prides itself on inclusion and offers comprehensive benefits, promoting a culture of collaboration in the workplace.
GenAI & Vision ML Engineer for Image & Video Lenses employer: Minimal
Contact Detail:
Minimal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI & Vision ML Engineer for Image & Video Lenses
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially any that relate to augmented reality or image processing. This will help you stand out and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and C++ skills. Practice common ML algorithms and be ready to discuss how you've used them in past projects. Confidence is key!
✨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 proactive about their job search!
We think you need these skills to ace GenAI & Vision ML Engineer for Image & Video Lenses
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning, Python, or C++. We want to see how your background aligns with the role, so don’t hold back on showcasing your projects and achievements!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your skills can enhance Snapchat’s augmented reality experiences and how you can contribute to our collaborative culture.
Be Yourself: We value inclusion and authenticity, so let your personality shine through in your application. Share your passion for technology and innovation, and don’t be afraid to express what excites you about this opportunity!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and get back to you quicker. We can’t wait to hear from you!
How to prepare for a job interview at Minimal
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those relevant to image and video processing. Be ready to discuss your past projects and how you've applied ML techniques in real-world scenarios.
✨Show Off Your Coding Skills
Since the role requires proficiency in Python or C++, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that focus on algorithms and data structures.
✨Collaborate Like a Pro
This company values collaboration, so be prepared to talk about how you've worked with cross-functional teams in the past. Share examples of how you’ve gathered user feedback and iterated on products based on that input.
✨Embrace Inclusion
Familiarise yourself with the company's commitment to inclusion. Think about how you can contribute to a diverse workplace and be ready to discuss your views on fostering an inclusive environment during the interview.
