At a Glance
- Tasks: Develop on-device ML models for a child-safety app and optimise detection pipelines.
- Company: Jack & Jill, a London-based company focused on child safety technology.
- Benefits: Work directly with founders and contribute to a socially impactful product.
- Why this job: Make a real difference in child safety while advancing your ML skills.
- Qualifications: Over 2 years of applied ML experience, expertise in object detection and NLP.
The predicted salary is between 50000 - 60000 £ per year.
Jack & Jill in London is seeking a Machine Learning Engineer to develop on-device ML models for a child-safety app aimed at protecting children from harmful content. This role involves owning the complete detection pipeline and working on advanced model optimization.
The ideal candidate will have over 2 years of experience in applied ML and significant expertise in object detection and NLP.
This position offers the chance to work directly with founders and contribute to a socially impactful product that advocates for child safety technology.
On-Device ML Engineer - Multimodal Safety AI in London employer: Jack & Jill
Jack & Jill is an exceptional employer that prioritises innovation and social impact, offering a collaborative work culture where employees can directly influence the development of cutting-edge technology aimed at child safety. Located in London, the company provides ample opportunities for professional growth and skill enhancement, alongside a commitment to employee well-being and a mission-driven environment that fosters meaningful contributions to society.
StudySmarter Expert Advice🤫
We think this is how you could land On-Device ML Engineer - Multimodal Safety AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work in child safety tech or ML. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've got projects or contributions related to on-device ML or object detection, make sure to highlight them in conversations. We love seeing real-world applications of your expertise!
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML fundamentals and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who want to make a difference in child safety.
We think you need these skills to ace On-Device ML Engineer - Multimodal Safety AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in applied ML, especially in object detection and NLP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about child safety technology and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool ML projects, especially those related to safety or child protection, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Jack & Jill
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around object detection and NLP. Be ready to discuss your past projects in detail, showcasing how you've applied these techniques in real-world scenarios.
✨Understand the Product
Familiarise yourself with the child-safety app and its mission. Think about how your skills can contribute to protecting children from harmful content. This shows genuine interest and helps you align your answers with their goals.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into model optimisation and the detection pipeline. Practise explaining complex concepts in simple terms, as this will demonstrate your understanding and ability to communicate effectively.
✨Show Your Passion for Social Impact
Since this role is about creating a socially impactful product, be prepared to discuss why child safety technology matters to you. Share any relevant experiences or motivations that drive your passion for this field.
