Depop
SeniorMachineLearningScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Scientist at Depop. Skills: Machine Learning, Deep Learning, Large Language Models, ML System Design, Production ML. Own end-to-end machine learning solutions, from problem framing and data strategy through to modelling, deployment, and iteration in production. Design and build scalable ML systems to detect fraud, abuse, and policy violations in user-generated content across text and multimodal domains”
Industry & Context.
operate in ambiguous and adversarial environments; define problems; shape solutions; deliver robust systems that scale; own problems end-to-end; operate in ambiguous environments; make pragmatic technical decisions
What They're Looking For.
Must Have
designing, deploying, and iterating on machine learning systems that deliver measurable impact in production environments, foundation in machine learning and deep learning, hands-on experience using frameworks such as PyTorch and modern architectures (e.g. Transformers, large language models), Experience applying ML in real-world, noisy, and adversarial domains, such as trust & safety, fraud, or abuse detection, Proficiency in Python, experience writing production-quality code, solid understanding of data pipelines, model training workflows, and MLOps practices, Demonstrated ability to own problems end-to-end, operate in ambiguous environments, make pragmatic technical decisions, collaboration and communication skills, ability to influence cross-functional partners and stakeholders
Nice to Have
Experience building ML systems for trust, safety, fraud, or policy enforcement use cases, Hands-on experience fine-tuning, evaluating, or deploying large language models in production settings, Experience with multimodal modelling (e.g. text + image), Familiarity with human-in-the-loop systems or moderation workflows, Experience with Databricks, PySpark, or large-scale data processing systems
What You'll Do.
Own end-to-end machine learning solutions
from problem framing and data strategy through to modelling
and iteration in production
Design and build scalable ML systems to detect fraud
and policy violations in user-generated content across text and multimodal domains
Lead the development and application of LLM-based approaches
including model selection
Define and drive experimentation strategy
including offline evaluation and online testing
to rigorously measure impact and inform product decisions
evolving problem spaces
proactively identifying new risks and shaping detection strategies in partnership with Trust
Collaborate cross-functionally to translate business and safety goals into effective
production-ready ML systems
influencing trade-offs and priorities
Communicate clearly and effectively with both technical and non-technical stakeholders
articulating approaches
How You'll Work.
Team & Collaboration
Collaborate cross-functionally to translate business and safety goals into effective, production-ready ML systems, influencing trade-offs and priorities; Communicate clearly and effectively with both technical and non-technical stakeholders, articulating approaches, trade-offs, and impact; partnership with Trust, Policy, and Product
Communication Scope
Communicate clearly and effectively with both technical and non-technical stakeholders, articulating approaches, trade-offs, and impact; collaboration and communication skills
Process & Methodology
Own end-to-end machine learning solutions, Define and drive experimentation strategy, shape solutions, deliver robust systems that scale
Full Job Description
**Company Description** Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new. Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it. Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit [**_www.depop.com_**](http://www.depop.com)**** We aim to create an inclusive environment where everyone is welcome, no matter who they are or where they’re 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. We’re 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. We’re 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
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