Etsy, Inc.
Staff Software Engineer II, Machine Learning
Etsy, Inc., New York, New York, us, 10261
Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an
Etsy Inc. employee , whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.What’s the role?We are looking for a Staff Software Engineer, II to join the GenAI Enablement squad to play a major role in driving the platform vision and strategy for the GenAI capabilities at Etsy.As a Staff Software Engineer II, you will be responsible for implementing the strategy to drive GenAI capabilities leveraging LLMs at Etsy. Different teams will use our innovative capabilities that in turn will help nearly 100M buyers and over 5M sellers navigate Etsy’s extensive marketplace and deliver many more outstanding customer experiences. Do you find joy in big picture thinking and playing long term while driving business critical metrics? If so, this could be the perfect match.This is a full-time position reporting to the Senior Engineering Manager. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our
competitive benefits
that support you and your family as part of your total rewards package at Etsy.For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies
here .What does the day-to-day look like?Develop sophisticated applications to take on challenging and ambitious tasks leveraging LLMs.Create systems based on well-architected framework principles.Help define and own the roadmap, working collaboratively and proactively with senior engineers, partner teams, and team leadership. The initiatives include platforms and tools that enable customers to do state of the art machine learning leveraging LLMs at Etsy.Collaboratively design and develop reusable distributed components (services, libraries, SDKs) to train, fine-tune, and optimize LLM capabilities.Work with partner teams to act as a consultant on how to best use LLMs for their own use cases.Collaborate across other engineering partner teams to continuously improve LLM development velocity and capabilities at Etsy.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Qualities that will help you thrive in this role are:8+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services, and frameworks.Experience with LLMs, including fine-tuning, evaluation, and system architecture. LLMOps experience is a plus.Strong track record of working with machine learning systems and/or platforms.Programming languages: Python, Java or Scala, C++ (optional).Frameworks: Tensorflow, PyTorch, Spark, Airflow, KFP.Platform: Terraform, GCP and GCP VertexAI, AWS and AWS AI platform (plus), Monitoring/Observability, experience with production support tools of internet scale systems.Experience with Docker or a similar container framework and container orchestration tools such as Kubernetes.Preferred Skills/experiences:Have worked well with data scientists, business analysts, Product Managers, and machine learning infrastructure to connect the dots between business and technology partners.A deep understanding of the machine learning process.A growth mindset and commitment to learning.Strong listening skills and an ability to be mindful and transparent in communication with others.A trust in and commitment to Etsy’s vision, mission, and values.Familiar with GCP technology is a plus.Additional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality 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 PromiseAt Etsy, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. 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, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
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Etsy Inc. employee , whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.What’s the role?We are looking for a Staff Software Engineer, II to join the GenAI Enablement squad to play a major role in driving the platform vision and strategy for the GenAI capabilities at Etsy.As a Staff Software Engineer II, you will be responsible for implementing the strategy to drive GenAI capabilities leveraging LLMs at Etsy. Different teams will use our innovative capabilities that in turn will help nearly 100M buyers and over 5M sellers navigate Etsy’s extensive marketplace and deliver many more outstanding customer experiences. Do you find joy in big picture thinking and playing long term while driving business critical metrics? If so, this could be the perfect match.This is a full-time position reporting to the Senior Engineering Manager. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our
competitive benefits
that support you and your family as part of your total rewards package at Etsy.For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies
here .What does the day-to-day look like?Develop sophisticated applications to take on challenging and ambitious tasks leveraging LLMs.Create systems based on well-architected framework principles.Help define and own the roadmap, working collaboratively and proactively with senior engineers, partner teams, and team leadership. The initiatives include platforms and tools that enable customers to do state of the art machine learning leveraging LLMs at Etsy.Collaboratively design and develop reusable distributed components (services, libraries, SDKs) to train, fine-tune, and optimize LLM capabilities.Work with partner teams to act as a consultant on how to best use LLMs for their own use cases.Collaborate across other engineering partner teams to continuously improve LLM development velocity and capabilities at Etsy.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Qualities that will help you thrive in this role are:8+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services, and frameworks.Experience with LLMs, including fine-tuning, evaluation, and system architecture. LLMOps experience is a plus.Strong track record of working with machine learning systems and/or platforms.Programming languages: Python, Java or Scala, C++ (optional).Frameworks: Tensorflow, PyTorch, Spark, Airflow, KFP.Platform: Terraform, GCP and GCP VertexAI, AWS and AWS AI platform (plus), Monitoring/Observability, experience with production support tools of internet scale systems.Experience with Docker or a similar container framework and container orchestration tools such as Kubernetes.Preferred Skills/experiences:Have worked well with data scientists, business analysts, Product Managers, and machine learning infrastructure to connect the dots between business and technology partners.A deep understanding of the machine learning process.A growth mindset and commitment to learning.Strong listening skills and an ability to be mindful and transparent in communication with others.A trust in and commitment to Etsy’s vision, mission, and values.Familiar with GCP technology is a plus.Additional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality 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 PromiseAt Etsy, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. 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, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
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