Machine Learning Scientist
Team: Engineering & Data
Location: Depop - London
Company Description
Life is about creating. That's why we're home to over 30 million artists, stylists, designers, sneakerheads — and you? We're the community-powered, circular-minded marketplace changing the world of online fashion. Now it's time to get inspired at Depop.
Responsibilities
The Role
At Depop, machine learning is integral to our value proposition.
In the ranking team, we build learning-to-rank models that power personalised experiences across the Depop app (in search results, user recommendations, etc.).
As a Machine Learning Scientist in this team, you will work on building state-of-the-art ranking models to power Depop's app, serving millions of personalised results to users daily.
Responsibilities:
Research, design and deliver machine learning solutions to tackle problems within the ranking space
Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems, such as: How can we surface relevant products for this search? OR How can we personalise the user experience in real-time?
Set up and conduct large-scale experiments to test hypotheses and drive product development
Keep up to date with state-of-the-art research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.
Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)
Report and present technical findings to technical and non-technical audiences
Skills and experience:
Experience working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problems
Solid understanding of machine learning concepts, familiarity working with common frameworks such as Transformers, PyTorch or TensorFlow
Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps
Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders
Passion for learning new skills and staying up-to-date with ML algorithms
Bonus points:
Experience working on learning-to-rank, search or recommendation models
Experience with deep learning & large language models
Experience with experiment design and conducting A/B tests
Experience with Databricks and PySpark
Experience working with AWS or another cloud platform (GCP/Azure)
How we work
MyMode is our new hybrid-working model, designed to empower our employees to choose a working mode that works for them.
MyMode is composed of 3 working modes: Flex, Office Based and Remote.
Flex (Default)
Tell me more +Show me less -Flex is our default working mode, meaning all employees will automatically enrol in this mode and there is no application required to enter this mode. Flex employees will be expected to work from the office at least 4 days per month. Teams will determine whether there are set weekly or monthly in-office days based on their operating rhythms and practices. You will need to work with your manager to determine your in-office schedule for your team.
Office Based
Tell me more +Show me less -This option is for employees who are committing to work from the office for a minimum of 4 days per week. As part of taking on the Office Based working mode you will be able to apply for a permanent desk in the office if you need one, but you won’t need to apply to become an Office Based employee.
Remote
Tell me more +Show me less -Under the Remote working mode you are able to work anywhere within the country you are employed in. This mode requires around 2- 4 days per year in the office, depending on organisational guidance. You will be able to expense travel if you are asked to attend the office, but not for office attendance by your choice.
*Remote working is not applicable for all roles at Depop, please check with our Talent Team.
Application Process
Our DNA encompasses the central reasons that people are proud to work at Depop and unites us with a shared language and sense of community.
It guides our daily interactions and empowers individuals, teams, departments and our company as a whole to have a greater impact and achieve our mission.
Show up for the community
Tell me more +Show me less -We go above and beyond. When they succeed, we succeed.
We’re changing how millions of people buy, sell and explore their style, so we do everything we can to create a safe space in a community where you can learn, grow and succeed on your own terms.
Have each other's backs
Tell me more +Show me less -We empower each other with kindness and respect our differences.
Everyone at Depop is seen, heard, valued and encouraged. Our genius is born from our diversity of thought, so we celebrate our wins together and hold each other up when things get tough.
Act with purpose
Tell me more +Show me less -We take conscious risks, deliver efficiently and learn from our mistakes.
Our mission is to be the world’s most diverse and progressive home of fashion. We have the conviction to succeed, the patience to learn and the confidence to fail and try again - being open all the way.
Think thrift
Tell me more +Show me less -We’re resourceful, seek out opportunities and we hustle.
We’re powering a future that is more thoughtful, circular and better for people and planet. To do it, we stay curious, savvy, resourceful and empowered to get the job done – effectively and responsibly.
At the heart of our mission...
At the heart of our mission...