At a Glance
- Tasks: Join our Outfits Discovery team to build and improve machine learning systems for fashion.
- Company: ASOS, a global online retailer empowering fashion lovers.
- Benefits: Employee discounts, flexible benefits, 25 days leave, and private medical care.
- Why this job: Make a real impact in fashion tech while mentoring junior engineers.
- Qualifications: Expertise in deep learning and experience in production environments required.
- Other info: Inclusive culture with opportunities for personal growth and career development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our crossâfunctional Outfits Discovery team. In this role, you will be a senior IC who will be productionising machine learning systems that help our customers discover and shop complete outfits that resonate with both their personal style and current fashion trends. Our mission is to elevate the fashion experience and ship with high scale ML capabilities.
What you'll be doing:
- You will be part of an agile, crossâfunctional team building and improving our causal algorithms for the pricing and customer targeting space.
- You will be working alongside scientists in driving the implementation and deployment of atâscale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
- You will be deploying batch and online machine learning models at high scale.
- You will be continually developing and improving our code and technology, taking an active role in the conception of brandânew features.
- You will be mentoring and coaching junior members of the team, supporting their technical progress.
- You will contribute to the team's technical direction, establish ML standards, and drive quality across ASOS's ML community, while sharing expertise gained from the team.
About You:
- You have professional experience in machine learning with expertise in deep learning methods and their practical applications in production environments.
- You possess mastery of deep learning frameworks and distributed computing frameworks for implementing largeâscale deep learning models.
- You have proven ability to create and manage multiâinstance clusters for distributed and parallel training across GPUs, demonstrating proficiency in data and model parallelism techniques.
- You have a strong understanding of software development lifecycles and engineering practices (data pipelines, CI/CD, containerisation, observability) â specifically ML Ops principles, techniques and tooling.
- You're comfortable providing technical leadership, mentoring, and coaching to more 1â2 junior engineers. You will contribute to wider engineering initiatives across ASOS.
Additional Information:
- Employee discount (hello ASOS discount!)
- Employee sample sales
- 25 days paid annual leave + an extra celebration day for a special moment
- Discretionary bonus scheme
- Private medical care scheme
- Flexible benefits allowance â which you can choose to take as extra cash, or use towards other benefits
- Opportunity for personalised learning and inâtheâmoment experiences that enable you to thrive and excel in your role
Senior Machine Learning Engineer (Outfits) in London employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Machine Learning Engineer (Outfits) in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at ASOS. A friendly chat can open doors and give you insights that might just land you an interview.
â¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your machine learning projects. This is your chance to demonstrate your expertise in deep learning and how you can contribute to ASOS.
â¨Tip Number 3
Prepare for the technical interview! Brush up on your ML concepts and be ready to discuss your past projects. We want to see how you think and solve problems, so practice explaining your thought process.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining the ASOS family.
We think you need these skills to ace Senior Machine Learning Engineer (Outfits) in London
Some tips for your application đŤĄ
Show Your Passion for Fashion: When you're writing your application, let your love for fashion shine through! We want to see how your skills in machine learning can elevate the shopping experience for our customers. Make it personal and relatable!
Tailor Your CV: Just like you would style an outfit, tailor your CV to fit the role of Senior Machine Learning Engineer. Highlight your deep learning expertise and any relevant projects that showcase your ability to work at scale. We love seeing how your experience aligns with our mission!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your technical skills and experiences. We appreciate a well-structured application that makes it easy for us to see why youâd be a great fit for the team!
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it gives you a chance to explore more about ASOS and what we stand for!
How to prepare for a job interview at ASOS.com
â¨Know Your Stuff
Make sure you brush up on your deep learning knowledge and be ready to discuss specific frameworks you've worked with. ASOS is looking for someone who can hit the ground running, so be prepared to share examples of how you've implemented large-scale models in production.
â¨Show Your Creative Side
ASOS values creativity, so think about how you can showcase your unique approach to problem-solving. Prepare a couple of examples where you've used innovative methods in your previous roles, especially in fashion or retail contexts.
â¨Be Ready to Collaborate
Since you'll be part of a cross-functional team, highlight your experience working with others. Be prepared to discuss how you've collaborated with data scientists and engineers in the past to drive successful projects.
â¨Mentorship Matters
ASOS is keen on mentorship, so if you've had experience coaching junior engineers, make sure to bring that up. Share specific instances where you've helped others grow technically, as this will show your leadership potential.