Machine Learning Scientist
Machine Learning Scientist
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Job Description
Company Description
Depop is the communitypowered circular fashion marketplace where anyone can buy sell and discover desirable secondhand fashion. With a community of over 35 million users Depop is on a mission to make fashion circular redefining fashion consumption. Founded in 2011 the company is headquartered in London with offices in New York and Manchester and in 2021 became a whollyowned subsidiary of Etsy.Find out more at www.depop
Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome no matter who they are or where theyre from. Just as our platform connects people globally we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences knowing they drive innovation and bring us closer to our users. Were proud to be an equal opportunity employer providing employment opportunities without regard to age ethnicity religion or belief gender identity sex sexual orientation disability pregnancy or maternity marriage and civil partnership or any other protected status. Were continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.
If due to a disability you need adjustments to complete the application please let us know by sending an email with your name the role to which you would like to apply and the type of support you need to complete the application to . For any other nondisability related questions please reach out to our Talent Partners.
The Role
At Depop machine learning is integral to our value proposition.
In the ranking team we build learningtorank 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 stateoftheart ranking models to power Depops 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 realtime
Set up and conduct largescale experiments to test hypotheses and drive product development
Keep up to date with stateoftheart 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 nontechnical audiences
Skills and experience:
Experience working as a Machine Learning Scientist with a track record of delivering models to solve industryscale 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 productiongrade code and a good understanding of data engineering & MLOps
Collaborative and humble team player with an ability to work with crossfunctional teams including technical and nontechnical stakeholders
Passion for learning new skills and staying uptodate with ML algorithms
Bonus points:
Experience working on learningtorank 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)
Additional Information
Health Mental Wellbeing
PMI and cash plan healthcare access with Bupa
Subsidised counselling and coaching with Self Space
Cycle to Work scheme with options from Evans or the Green Commute Initiative
Employee Assistance Programme (EAP) for 24/7 confidential support
Mental Health First Aiders across the business for support and signposting
Work/Life Balance:
25 days annual leave with option to carry over up to 5 days
1 companywide day off per quarter
Impact hours: Up to 2 days additional paid leave per year for volunteering
Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop to give you a chance to recharge or do something you love.
Flexible Working: MyMode hybridworking model with Flex Office Based and Remote options *role dependant
All offices are dogfriendly
Ability to work abroad for 4 weeks per year in UK tax treaty countries
Family Life:
18 weeks of paid parental leave for fulltime regular employees
IVF leave shared parental leave and paid emergency parent/carer leave
Learn Grow:
Budgets for conferences learning subscriptions and more
Mentorship and programmes to upskill employees
Your Future:
Life Insurance (financial compensation of 3x your salary)
Pension matching up to 6 of qualifying earnings
Depop Extras:
Employees enjoy free shipping on their Depop sales within the UK.
Special milestones are celebrated with gifts and rewards!
Employment Type
Full-Time
