FAQs
What is the primary focus of the Staff Machine Learning Engineer II position at Etsy?
The primary focus is to develop systems that help detect policy violations in user-generated content to ensure Etsy remains a trusted and safe marketplace.
What type of projects will the Staff Machine Learning Engineer be involved in?
The role involves developing multiple complex projects related to machine learning, optimizing and productionizing large-scale ML models, and designing experiments to measure marketplace effects.
What are the essential qualifications needed for this role?
Candidates should have expertise in fields such as text classification, LLMs, image classification, optimization, or human-in-the-loop approaches, as well as experience in deploying and maintaining machine learning systems.
Is there an expectation for team collaboration in this role?
Yes, the role involves working closely with product managers, other engineers, designers, and cross-functional stakeholders to enhance the quality of the marketplace.
Will the Staff Machine Learning Engineer be involved in mentoring?
Yes, the role includes coaching and training junior team members.
What coding languages and tools should candidates be familiar with?
Candidates should be experienced with Python/SQL, deep learning frameworks like PyTorch and TensorFlow, workflow management tools such as Airflow, and cloud platforms like GCP, Azure, or AWS.
What is the work location requirement for this position?
The role requires presence in Etsy’s Dublin office once or twice a week, depending on proximity to the office.
What does Etsy value in terms of workplace culture?
Etsy values a diverse, equitable, and inclusive workplace and encourages individuals from all backgrounds to apply.
Is there an opportunity for compensation beyond salary in this role?
Yes, the position includes an equity package, an annual performance bonus, and competitive benefits.
How should interested candidates apply for this role?
Candidates should share their resume with Etsy and may include a cover letter, expressing their individuality and what they bring to the team.