Staff Machine Learning Engineer II, Risk Decisioning
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.
Salary Range:
$218,000.
00 - $256,000.
00What s the role?Etsy is hiring a Staff Machine Learning Engineer II to join the Risk Engineering organization.
Our team keeps Etsy a safe and trusted marketplace by building complex and scalable Machine Learning technologies to detect and prevent risk and fraud.
We are looking for someone who is passionate about applying ML to deliver customer impact and have the domain expertise and vision to serve as the team s technical leader in ML.
Our work addresses pressing, real-world problems, including detection of transactional fraud, fake account creation, collusion fraud, and more.
As a member of the engineering team, this role is a great opportunity to collaborate with Senior ML professionals on large-scale projects protecting millions of users.
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?Solve customer and business problems (protecting against seller fraud, transactional fraud, account takeover, fake accounts, etc.
) using machine learning techniques like deep neural networks, graph ML, and anomaly detection.
Take ideas and scale them to millions to users.
Develop and implement end-to-end plans, including idea generation, project planning, model development, production model serving, and ownership of model performance.
Architect new and improve on existing ML systems, including building data architectures (e.
g.
large-scale graph data processing and storage), enabling faster and more robust model development, and improving model serving and orchestration.
Provide technical leadership on long-term strategy, roadmap, ML design, and system architecture.
Help to coach and mentor more junior team members.
Collaborate with team members and cross-team partners for problem identification, technical design/delivery, and product operationalization.
Prototype, optimize, and manage large-scale ML models that help deliver key results.
Conduct A/B experiments to validate the effectiveness of ML models and pipelines.
Apply the latest advances in deep learning and other ML techniques to improve trust and safety on 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:
You have an advanced degree (M.
S.
/Ph.
D.
) in a quantitative field (e.
g.
, computer science, industrial engineering, statistics, physics) and 3
years of industry experience on ML applications; or an undergraduate degree in a quantitative field and 7
years of industry experience on ML applications.
You have experience building ML models in the fraud/risk management space.
Experience deploying, debugging, and fine-tuning machine learning models in large-scale production systems in public clouds, with experience in Infrastructure as Code.
You are comfortable with using git, Linux environments, dockers, and other tools for writing robust, production-ready code.
You have focused experience deploying models in production at scale like unsupervised anomaly detection, graph neural network, deep learning, natural language processing, or reinforcement learning Google Cloud Platform (GCP) experience is a plusFamiliarity with graph based detection (graph neural networks) and anomaly detection is a plusAdditional 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 and is an affirmative action employer.
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.
SummaryLocation:
Brooklyn, NYType:
Full time.
Estimated Salary: $20 to $28 per hour based on qualifications.
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.
Salary Range:
$218,000.
00 - $256,000.
00What s the role?Etsy is hiring a Staff Machine Learning Engineer II to join the Risk Engineering organization.
Our team keeps Etsy a safe and trusted marketplace by building complex and scalable Machine Learning technologies to detect and prevent risk and fraud.
We are looking for someone who is passionate about applying ML to deliver customer impact and have the domain expertise and vision to serve as the team s technical leader in ML.
Our work addresses pressing, real-world problems, including detection of transactional fraud, fake account creation, collusion fraud, and more.
As a member of the engineering team, this role is a great opportunity to collaborate with Senior ML professionals on large-scale projects protecting millions of users.
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?Solve customer and business problems (protecting against seller fraud, transactional fraud, account takeover, fake accounts, etc.
) using machine learning techniques like deep neural networks, graph ML, and anomaly detection.
Take ideas and scale them to millions to users.
Develop and implement end-to-end plans, including idea generation, project planning, model development, production model serving, and ownership of model performance.
Architect new and improve on existing ML systems, including building data architectures (e.
g.
large-scale graph data processing and storage), enabling faster and more robust model development, and improving model serving and orchestration.
Provide technical leadership on long-term strategy, roadmap, ML design, and system architecture.
Help to coach and mentor more junior team members.
Collaborate with team members and cross-team partners for problem identification, technical design/delivery, and product operationalization.
Prototype, optimize, and manage large-scale ML models that help deliver key results.
Conduct A/B experiments to validate the effectiveness of ML models and pipelines.
Apply the latest advances in deep learning and other ML techniques to improve trust and safety on 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:
You have an advanced degree (M.
S.
/Ph.
D.
) in a quantitative field (e.
g.
, computer science, industrial engineering, statistics, physics) and 3
years of industry experience on ML applications; or an undergraduate degree in a quantitative field and 7
years of industry experience on ML applications.
You have experience building ML models in the fraud/risk management space.
Experience deploying, debugging, and fine-tuning machine learning models in large-scale production systems in public clouds, with experience in Infrastructure as Code.
You are comfortable with using git, Linux environments, dockers, and other tools for writing robust, production-ready code.
You have focused experience deploying models in production at scale like unsupervised anomaly detection, graph neural network, deep learning, natural language processing, or reinforcement learning Google Cloud Platform (GCP) experience is a plusFamiliarity with graph based detection (graph neural networks) and anomaly detection is a plusAdditional 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 and is an affirmative action employer.
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.
SummaryLocation:
Brooklyn, NYType:
Full time.
Estimated Salary: $20 to $28 per hour based on qualifications.
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