Senior ML Engineer - Inventory Systems (Remote-friendly)

Etsy; New York (NY); Vor Ort; USD 182.000 - 246.000; Vollzeit

Benefits dieser Stelle

Equity package

Annual performance bonus

Comprehensive benefits

Zusammenfassung

Etsy is hiring a Senior Machine Learning Engineer to join the Inventory team and build state-of-the-art ML systems for a two-sided marketplace with millions of buyers and sellers. You will lead ML projects that influence product vision, listings, and buyer experiences, collaborating with cross-functional teams.

The role emphasizes shipping reliable models, mentoring teammates, and driving measurable impact through A/B testing and scalable deployment. Location-based salary and equity are offered.

Qualifikationen

• Proven track record applying ML techniques to real-world problems.
• Experience with NLP, image processing, RL, or large language models.
• Strong software engineering skills with end-to-end production ML systems.
• Proficiency in databases, SQL, and scripting languages.

Aufgaben

• Lead the creation of engineering plans to address challenging problems by breaking down complex tasks into manageable components and milestones.
• Mentor junior team members to help them produce high-quality code and ML solutions.
• Collaborate with engineering teams to discuss model capabilities with product managers.
• Implement the latest advancements in ML to enhance buyer and seller experiences on Etsy.
• Develop, optimize, and deploy large-scale ML models to achieve key outcomes.
• Run A/B tests to evaluate ML-powered products.

Kenntnisse

Machine learning

NLP

Image processing

Reinforcement learning

Deep learning

Multi-modal learning

Large language models

SQL

Scripting

Jobbeschreibung

Etsy is hiring a Senior Machine Learning Engineer to join the Inventory team and build state-of-the-art ML systems for a two-sided marketplace with millions of buyers and sellers. You will lead ML projects that influence product vision, listings, and buyer experiences, collaborating with cross-functional teams.

The role emphasizes shipping reliable models, mentoring teammates, and driving measurable impact through A/B testing and scalable deployment. Location-based salary and equity are offered.