Staff Machine Learning Scientist, Ranking

Stelle nicht auf LinkedIn

🕒 vor 8 Monaten

🇬🇧 Vereinigtes Königreich – Remote

⏰ Vollzeit

🔴 Experte

🤖 Machine-Learning-Entwickler

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit UK-Skilled-Worker-Visa gesponsert.

👻 Geisterscore 46%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Depop

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

🛍️ eCommerce

👗 Mode

🌍 Soziale Wirkung

eCommerce • Fashion • Social Impact

Depop ist der community-gesteuerte Marktplatz für zirkuläre Mode, auf dem jeder begehrte, erschwingliche Second-Hand-Mode kaufen, verkaufen und entdecken kann. Zusammen mit seiner Community von etwa 35 Millionen registrierten Nutzern verfolgt Depop das Ziel, Mode zirkulär zu gestalten – indem es mehr Menschen ermutigt, sich für Second-Hand zu entscheiden und die Lebensdauer ihrer Kleidung zu verlängern, und dadurch den Modekonsum neu definiert.

Beschreibung

• Lead the design and deployment of advanced ranking models for Depop’s entire app, covering personalised recommendations, search results and other surfaces. • Collaborate closely with cross-functional partners (product, engineering, data) to define problems, translate them into scalable solutions, and deliver measurable business outcomes. • Lead the end-to-end lifecycle of ML projects: from ideation, data acquisition, feature engineering, training, and evaluation to deployment and ongoing iteration. • Drive innovation in ranking by researching and integrating emerging ML techniques, frameworks, and tooling, while contributing technical expertise to long-term product and data strategy. • Mentor, coach, and set technical direction within the Ranking ML team, helping others grow and innovate. • Act as a thought leader in the ranking space, sharing learnings internally, engaging with the wider ML community, and showcasing our work externally.

🎯 Anforderungen

• Significant experience working as a Machine Learning Scientist, with a proven track record of delivering and scaling models that solve complex, real-world problems with measurable business impact • Proven track record in designing and optimizing learning-to-rank models • Deep understanding of machine learning concepts and frameworks • Proven ability to productionize ML models and pipelines: from prototyping to deployment, with strong experience in monitoring, iteration, and troubleshooting. • Advanced programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar. • Experience leading projects and mentoring engineers or scientists, with a track record of fostering team growth and technical excellence. • Excellent communication skills: able to bridge technical and non-technical stakeholders and influence decision making. • Committed to responsible AI practices, including attention to ethics, fairness, and inclusivity.

🏖️ Vorteile

• 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 company-wide 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 hybrid-working model with Flex, Office Based, and Remote options *role dependant • All offices are dog-friendly • Ability to work abroad for 4 weeks per year in UK tax treaty countries • Family Life: 18 weeks of paid parental leave for full-time 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!

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