At a Glance
- Tasks: Join a dynamic team to build and enhance machine learning systems for fashion discovery.
- Company: ASOS, a leading online fashion retailer with a focus on innovation.
- Benefits: Enjoy employee discounts, flexible benefits, and 25 days of annual leave plus a bonus day.
- Other info: Collaborative environment with opportunities for personal growth and career advancement.
- Why this job: Make a real impact in the fashion industry using cutting-edge machine learning technology.
- Qualifications: Experience in machine learning and deep learning, with a passion for mentoring others.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional 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, cross-functional 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 at-scale 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 brand-new 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.
Qualifications About You:
- Experience applying machine learning in production settings, with exposure to deep learning techniques and their practical use.
- Experience working with deep learning and distributed computing frameworks to support large-scale models.
- Familiarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest in developing this expertise.
- A solid understanding of software development lifecycles and engineering practices, including data pipelines, CI/CD, containerisation and observability, with experience or interest in MLOps tooling.
- Comfortable supporting others through technical guidance, mentoring or knowledge sharing, and contributing 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 - which you can choose to take as extra cash, or use towards other benefits
- Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role.
Senior Machine Learning Engineer (Recommendations) employer: 慨正橡扯
ASOS is an exceptional employer for a Senior Machine Learning Engineer, offering a vibrant work culture that fosters innovation and collaboration within a cross-functional team. With generous benefits such as employee discounts, flexible allowances, and opportunities for personal growth, ASOS empowers its employees to thrive in their roles while making a significant impact on the fashion experience for millions of customers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (Recommendations)
✨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.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving deep learning. This is your chance to shine and demonstrate your expertise in a practical way.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and be ready to discuss your past experiences 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, it shows you’re genuinely interested in joining our team at ASOS.
We think you need these skills to ace Senior Machine Learning Engineer (Recommendations)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Machine Learning Engineer role. Highlight your deep learning expertise and any relevant projects you've worked on, especially those involving large-scale models.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about machine learning and how you can contribute to our Outfits Discovery team. Share specific examples of your work that align with our mission to enhance the fashion experience.
Showcase Your Technical Skills:In your application, don't shy away from detailing your experience with MLOps tooling, distributed computing frameworks, and CI/CD practices. We want to see how you’ve applied these in real-world settings!
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at 慨正橡扯
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning techniques and frameworks. Be ready to discuss how you've applied these in production settings, especially with large-scale models. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Mentoring Skills
Since this role involves mentoring junior team members, think of examples where you've supported others in their technical journey. Share specific instances where your guidance made a difference, as this will highlight your leadership potential.
✨Understand the Bigger Picture
Familiarise yourself with the company's mission and how your role fits into it. Be prepared to discuss how your work in machine learning can elevate the fashion experience for customers. This shows that you’re not just about the tech, but also about the impact it has.
✨Be Ready for Technical Questions
Expect some deep dives into your technical knowledge, especially around MLOps tooling and software development lifecycles. Brush up on your CI/CD processes and be ready to explain how you’ve implemented these in past projects. Confidence here will go a long way!
