Staff ML Scientist, Core ML — Remote/Hybrid, High Impact

Staff ML Scientist, Core ML — Remote/Hybrid, High Impact

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build foundational machine learning models and collaborate with a multi-functional team.
  • Company: Join Depop Limited, a leader in innovative tech with an inclusive culture.
  • Benefits: Flexible working options, comprehensive health benefits, and professional development opportunities.
  • Other info: Remote/hybrid work environment with excellent career growth potential.
  • Why this job: Make a high impact in a role that emphasises innovation and technical leadership.
  • Qualifications: Experience in machine learning model building and teamwork skills.

The predicted salary is between 60000 - 80000 £ per year.

Depop Limited is currently seeking a Staff Machine Learning Scientist to join their Core ML team in Greater London. The ideal candidate will have experience in building foundational machine learning models and infrastructure, working with a multi-functional team to support various product and marketing use cases.

This role emphasizes innovation and technical leadership in an inclusive workplace, offering flexible working options, comprehensive health benefits, and opportunities for professional development.

Staff ML Scientist, Core ML — Remote/Hybrid, High Impact employer: Depop Limited

Depop Limited is an exceptional employer that fosters a culture of innovation and inclusivity, making it an ideal place for a Staff Machine Learning Scientist to thrive. With flexible working options and comprehensive health benefits, employees are empowered to balance their professional and personal lives while enjoying ample opportunities for growth and development within the dynamic tech landscape of Greater London.

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Contact Details:

Depop Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff ML Scientist, Core ML — Remote/Hybrid, High Impact

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Depop or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it’s a GitHub repo or a personal website, let your work speak for itself and highlight your innovative side.

Tip Number 3

Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss how you’ve led projects or collaborated with teams in the past.

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 take the initiative to connect directly with us.

We think you need these skills to ace Staff ML Scientist, Core ML — Remote/Hybrid, High Impact

Machine Learning
Model Building
Infrastructure Development
Collaboration
Innovation
Technical Leadership
Product Use Cases

Some tips for your application 🫡

Show Your Passion for ML:When writing your application, let your enthusiasm for machine learning shine through! We want to see how your experience aligns with our mission at Depop and how you can contribute to our Core ML team.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Staff ML Scientist role. Highlight relevant projects and experiences that showcase your skills in building foundational ML models and working in multi-functional teams.

Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role without wading through unnecessary 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 this exciting opportunity with Depop.

How to prepare for a job interview at Depop Limited

Know Your ML Models Inside Out

Make sure you can discuss the foundational machine learning models you've built in detail. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This shows your technical expertise and problem-solving skills.

Showcase Your Teamwork Skills

Since this role involves working with a multi-functional team, be ready to share examples of how you've collaborated with others in past projects. Highlight your ability to communicate complex ideas clearly and how you’ve contributed to a positive team dynamic.

Emphasise Innovation

Depop values innovation, so think of specific instances where you've introduced new ideas or improved existing processes. Discuss any unique approaches you've taken in your work that led to successful outcomes, demonstrating your forward-thinking mindset.

Prepare Questions About Their Culture

Research Depop's workplace culture and prepare thoughtful questions about their approach to inclusivity and professional development. This not only shows your interest in the company but also helps you assess if it’s the right fit for you.