Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Etsy

Senior Machine Learning Engineer, Recommendations Retrieval

Etsy

. Build and contribute across Etsy’s recommendations stack, including application interfaces, back-end technologies, and machine learning technologies .

Posted 9/30/2026full-timeBrooklyn • New York • United StatesSenior💰 $182,000 - $246,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying large-scale machine learning systems using Python, Scala, and cloud technologies. Proficient in collaborating cross-functionally to enhance recommendation systems and improve data-driven decision-making.

Highest-signal resume keywords
Machine Learning TechniquesPython DevelopmentProduction Machine Learning SystemsDeep Learning ExperienceData Manipulation at Scale

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningDeep LearningPythonScalaPyTorchTensorFlowMySQLVerticaPySparkAirflow
Soft Skills
CollaborationCode ReviewCommunication
Tools & Technologies
Google Cloud PlatformMachine Learning Infrastructure
Certifications & Qualifications
M.S. or Ph.D. in Computer Science
Industry Keywords
Search SystemsRecommendation SystemsAdvertising SystemsMulti-Modal LearningReinforcement Learning

Tech Stack

Tools & technologies
AirflowCloudGoogle Cloud PlatformMySQLPySparkPythonPyTorchScalaTensorflow

About the role

Key responsibilities & impact
  • Build and contribute across Etsy’s recommendations stack, including application interfaces, back-end technologies, and machine learning technologies
  • Develop with Python, MySQL, Scala, Vertica, PySpark, Google Cloud Platform, and Airflow
  • Work cross-functionally with machine learning infrastructure, data science, search experience, and other engineering teams
  • Participate in design, prioritization, and implementation
  • Deploy machine learning models to production, including application development for features when needed
  • Provide detailed and constructive design and code reviews
  • Improve ranking and suggestions of localized results through machine learning algorithms
  • Create workflows and pipelines that transform data into appropriate buyer results
  • Collaborate with engineers, machine learning scientists, product managers, data scientists, designers, and product-facing engineers and managers

Requirements

What you’ll need
  • Successful track record applying machine learning techniques to real-world problems
  • Experience in deep learning, multi-modal learning, reinforcement learning, or similar fields
  • Hands-on experience training, deploying, monitoring, debugging, and iterating on production machine learning systems in search, recommendation, and/or advertising systems
  • Production experience developing large-scale machine learning systems in Python, Scala, PyTorch, TensorFlow, or similar languages
  • Ability to write understandable and testable code
  • Ability to write and manipulate data at large scale with maintainability in mind
  • M.S. or Ph.D. degree in Computer Science or related engineering fields
  • At least two years of practical machine learning experience
  • Candidates should be within commutable distance of Etsy’s Brooklyn office, or may be considered remotely case-by-case with occasional office travel
  • Ability to work in the United States; visa sponsorship may be limited to certain roles and skills

Benefits

Comp & perks
  • Equity package
  • Annual performance bonus
  • Competitive benefits supporting employees and their families
  • Visa sponsorship may be available for certain roles and skills
  • Flexible partially remote work arrangement
  • Occasional travel to the Brooklyn office for remote candidates outside commuting distance