Senior Applied Scientist II, Market Optimization

  • Full Time
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Company Description

Etsy is a worldwide marketplace for distinctive and artistic goods. We construct, manage, and progress the instruments and technologies that link millions of business owners with millions of customers globally. As an employee, whether you're part of Etsy, Reverb, or Depop, you'll address unique, significant, and large-scale challenges alongside enthusiastic colleagues, while making a valuable impact and Keeping Commerce Human.

Job Description

What's the role?

We're hiring an Applied Machine Learning Scientist for the Marketplace Optimization team to assist in understanding buyer shopping endeavors, customer's long term values, seller success, marketplace health, and customer interest changes during online shopping. In your role as an Applied Scientist, you'll work intimately with software engineers to create custom large-scale machine-learning models that are operational in production to deliver customer impact. Our team is motivated by data and excited about innovating in the field of Machine Learning (ML). Our areas of interest and expertise include Ranking, Optimization, Natural Language Processing, Deep Learning, and Reinforcement Learning. Our primary goal is to apply these sophisticated techniques to enhance the search experience on our platform.

This is a full-time position reporting to the Engineering Manager of Marketplace Optimization, and the base range is $184,000 - 216,000 USD annually. Besides salary, you'll also be eligible for an equity package, an annual performance bonus, and that support you and your family as part of your total rewards package at Etsy. This role requires you to be present at Etsy's Brooklyn office in a flex capacity or in-person. Candidates living within a commutable distance of the Brooklyn Hub will be considered first. Etsy offers different work modes to meet an array of needs and preferences of our team. Learn more about our flexible and office-based work modes and workplace safety policies .

What’s this team like at Etsy?

The Marketplace Optimization team is part of Etsy's Search group, dedicated to refining search ranking quality for buyers and sellers. We work on the final pass ranking of search results, significantly shaping the overall customer search experience. The team includes machine learning engineers, applied scientists, and a product manager. Working intensively with software engineers and different product and enablement teams across the organization, we participate in the creation and execution of sophisticated machine learning algorithms that continually facilitate improved search results.

  • Design, develop and maintain high-performing machine learning systems
  • Research and implement innovative ML models to improve buyer shopping undertakings, customers’ long term values, seller success, marketplace health and customer interest transition in search results
  • Work with analysts or independently on pre-analysis and post-analysis before delineating projects
  • Influence the product roadmap using data-backed analysis
  • Mentor junior scientists on the team

What does the daily routine look like?

  • Identify opportunities to enhance our buyers’ search experience and propose a project plan backed by data analysis
  • Initiate and lead new workstreams to improve Etsy’s Search engine ranking capabilities
  • Develop innovative machine-learning ranking models that optimize for various business objectives to power search at scale
  • Define data-driven projects and collaborate with internal & external colleagues from Data, Modeling, and ML Infrastructure teams
  • Act swiftly to design, implement, optimize, and test new modeling improvements in both offline and production A/B experiment settings
  • Draw conclusions from experiment results
  • Lead high code quality and engineering standards in the team; Maintain and improve core machine learning pipeline
  • Needless to say, this is just a sample of the kinds of tasks this position will entail! You should expect that your role will involve other tasks, too, and your job duties and responsibilities may vary occasionally at Etsy's discretion, or as applicable under local law.

Qualifications

Qualities that will assist you in this role are:

You're a supportive teammate who enjoys helping others. Your growth-oriented mindset means you find joy in continuous learning and self-improvement. You care about how machine learning impacts real people. It's also helpful if you have:

  • 3+ years of experience in areas related to Search, Recommendation Systems, Personalization, and Applied ML
  • Proficiency in writing high-quality production code, demonstrating robust modeling, data understanding, and coding skills
  • Proficiency in neural ML frameworks like Tensorflow,
  • Experience with web-scale data preprocessing and machine learning workflows such as Apache Spark, Beam, Kubeflow Pipelines, etc
  • Prior experience working with cloud computing services like Google Cloud Platform
  • A product-oriented focus for using machine learning to solve real-world problems. Knowledge of various machine learning techniques and significant parameters that affect their performance
  • Strong verbal and written communication skills and comfortability working in a remote team with Slack and Google Docs
  • Self-direction, flexibility, and a keen sense of responsibility
  • A track record of publications in one of the following fields: information retrieval, recommendation systems, knowledge graphs, natural language processing, reinforcement learning

Additional Information

What's Next

If you're interested in joining Etsy's team, please share your resume with us and feel free to include a cover letter if you wish. As you may have noticed, Etsy is a place that values uniqueness and variety. We don't want you to be like everyone else; we want you to be like you! So tell us what you're all about.

Our Promise

At Etsy, we believe that a diverse, equitable, and inclusive workplace promotes relevance, resilience, and longevity. We encourage people of all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to offer equal opportunity and takes affirmative action in its employment practices. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If because of a disability, you require an accommodation during any part of the interview process, please inform your recruiter. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

For U.S. roles only:

Many Etsy roles are open to remote candidates, and you'll be able to recognize which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.