Senior Maching Learning Engineer - Style Discovery
Senior Maching Learning Engineer - Style Discovery
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Job Description
We are looking for a Senior Machine Learning Engineer with expertise in deep learning to join our crossfunctional AI Style Discovery team.
In role you will a senior IC who will be productionising machine learning systems across 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 youll be doing:
- You will be part of an agile crossfunctional 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 atscale 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 brandnew features.
- You will be mentoring and coaching junior members of the team supporting their technical progress.
- You will contribute to the teams technical direction establish ML standards and drive quality across ASOSs ML community while sharing expertise gained from the team.
Qualifications :
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 largescale deep learning models.
- You have proven ability to create and manage multiinstance clusters for distributed and parallel training across GPUs demonstrating proficiency in data and model parallelism techniques.
- You have strong understanding of software development lifecycles and engineering practices (Data pipelines CI/CD containerisation observability) specifically ML Ops principles techniques and tooling.
- Youre comfortable providing technical leadership mentoring and coaching to more 12 junior engineers. You will contribute to wider engineering initiatives across ASOS.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
