Senior Software Engineer, Machine Learning (100% Remote)

Etsy is hiring a Machine Learning Engineer to join the Inventory ML team. We're a cross-functional group of five machine learning scientists and engineers supported by product, design, and analytics partners. Our team develops custom machine-learning models to improve the shopping experience for millions of Etsy buyers and the selling experience for millions of Etsy sellers., You will be responsible for contributing to the team's road map and our daily processes, specifically:

• Attendance at daily standups, backlog refinement meetings, retrospectives, sprint kickoffs, project meetings, and 1:1s.
• Breaking work down into manageable chunks that you and your teammates can execute on.
• Delivering well-scoped work promptly. Work should be discussed with the whole squad in our backlog refinement meetings.
• Applying engineering best practices: PR reviews, unit and integration testing, monitoring, etc.
• Collaborating closely with our product, design, and analytics partners to shape the definition of your project and iterating as the project evolves.
• Helping to come up with ideas to do low-fidelity and medium-fidelity testing/validating
• Helping to triage and fix bugs, including shifts on our on-call rotation
• Reviewing code for other engineers on the team
• Proactively providing the status of ongoing work and communicating about technical challenges as they are anticipated or arise
• Consulting on technical feasibility and the level of effort for ideas

• Proficiency with standard machine learning tools and practices, such as fine-tuning, evaluation, model deployment, iteration, monitoring, and debugging.
• Experience with GCP tools (or equivalent): Python, SQL, BigQuery, Vertex AI, Gemini, Dataflow.
• Ability to collaborate and communicate effectively with teammates and cross-functional partners.

Nice-to-Haves

• Expertise in fields such as natural language processing, computer vision, reinforcement learning, deep learning, multimodal learning, or large language models
• Experience with modern approaches to AI development and deployment: context engineering, fine-tuning open source LLMs, cost and throughput management, vLLM, GPU management, etc.
• Experience developing, scaling, and maintaining real-time ML/AI inference systems.

Hours and Location:

• M-F, 40 hours/week
• This role is open to all work modes (remote/flex/on-site), EST time zone, and standard working hours, 9 am - 5 pm ET preferred.

We offer a competitive salary range for this position. Most candidates who join our team are hired at the median of this range, ensuring fair and equitable compensation based on experience and qualifications.