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Etsy
Etsy
1 001 – 5 000 Darbuotojai
H1B vizos rėmėjasElektroninė prekybaMažmeninė prekybaPrekyvietė
Etsy yra pasaulinė elektroninės prekybos platforma, kurioje kūrybingi verslininkai pirkėjams visame pasaulyje parduoda unikalius gaminius, įskaitant rankų darbo, vintažinius ir kūrybai skirtus daiktus. 2005 m. įkurta įmonė kuria platformos priemones ir technologijas, padedančias jos pardavėjų ir pirkėjų bendruomenei, kartu siekdama išsaugoti žmogišką prekybos pobūdį. Etsy daug dėmesio skiria tvarumui, įvairovei, lygybei ir įtraukčiai, taip pat siūlo lanksčius darbo būdus augindama savo komandas prekyvietės, mažmeninės prekybos ir technologijų srityse.
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Darbai įmonėje

Machine Learning Engineer, Search, Ads & Recommendations — Etsy Hybrid

Build and operate machine learning systems powering search, advertising, and recommendations across Etsy’s global marketplace. Own models from data pipelines and experimentation through production deployment and optimization.

USJungtinės ValstijosNYNiujorkas
182 000 $ – 246 000 $ / metai
HibridinisVisas etatasJaunesnysis specialistasVidutinis lygisPrivaloma Kalba: anglųMašininio mokymosi inžinierius
JavaPythonPyTorchScalaTensorFlow

Aprašymas

  • Develop user-focused machine learning systems for Etsy’s two-sided marketplace
  • Manage models across data and feature pipelines, training, evaluation, and production serving
  • Assess model performance through live A/B testing on Etsy.com and the Etsy app
  • Use machine learning, deep learning, and information retrieval to improve relevance, personalization, and engagement for buyers and sellers
  • Prototype, optimize, and deploy machine learning models at scale
  • Plan and conduct online and offline A/B experiments
  • Diagnose and resolve complex issues in model and system behavior
  • Track product performance and drive improvements with product and analytics partners
  • Collaborate with software engineers, applied scientists, data scientists, product managers, designers, and analytics partners
  • Based on team assignment, build capabilities for sponsored-search retrieval and ranking, ad allocation, user modeling, personalized ranking, multi-objective optimization, intent prediction, dual-encoder and hybrid retrieval, and large-scale indexing and serving
  • Report to the engineering manager responsible for the assigned team

Reikalavimai

  • Experience as a senior or staff-level machine learning engineer
  • Demonstrated use of statistical and machine learning methods to solve practical problems
  • Expertise or experience in information retrieval, search, recommendations, advertising, natural language processing, deep learning, multimodal learning, or reinforcement learning
  • Practical experience training, deploying, monitoring, debugging, and improving production machine learning systems for search, recommendations, or advertising
  • Production experience developing large-scale machine learning systems with Python, Java, Scala, or comparable languages
  • Experience using modern machine learning frameworks such as PyTorch or TensorFlow/TFX
  • Ability to write and manipulate data at large scale
  • Ability to produce clear, tested, maintainable code
  • Ability to define requirements and lead a team from design through delivery
  • Master’s or Ph.D. in computer science or a related engineering discipline with at least two years of applied machine learning experience, or equivalent experience
  • Must live within commuting distance of Etsy’s Brooklyn office, with remote consideration outside that area subject to occasional office travel

Privalumai

  • Equity package
  • Annual performance bonus
  • Benefits package for employees and their families
  • Visa sponsorship may be available for selected roles and skill sets
  • Hybrid schedule requiring office attendance once or twice weekly depending on proximity
  • Remote candidates outside commuting distance may be considered with occasional office travel

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Lead research and development in video coding, processing, and streaming, with a focus on machine learning and AI. Shape platform architecture, contribute to industry standards, and advance technical work across Disney’s global team.

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