Job details
Job type full-time
Full job description
Company description
Etsy is the global marketplace for unique and creative goodsWe build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the worldEtsy, inc.`s `house of brands` portfolio has expanded to now include four individually distinct ecommerce brands – etsy, fashion resale marketplace depop, musical instrument marketplace reverb, and brazil-based handmade goods marketplace elo7As an etsy employee, you’ll tackle unique problems alongside talented coworkers committed to keeping commerce humanWe`re large enough that you`ll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job description
Etsy is an international marketplace with 65m+ handmade and vintage items from hardworking artists, designers and vintage collectorsIn order to keep etsy a safe and trusted platform, we are building sophisticated and scalable ml/ai technologies as our marketplace continues to growWe are seeking experienced ml professionals to join us as we establish a team passionate about trust and safety (t&s) under the applied machine learning org (aml)!
In the aml org, applied scientists partner with other teams to develop custom machine-learning models that can drive product vision and customer impact! with the trust & safety focus, we are looking for individuals who are product and customer driven as well as passionate about making ml innovations in the area of risk management and fraud detection to better protect the integrity of our marketplace.
We are considering remote candidates based in the us for this positionEtsy offers three different work modes to meet the variety of needs and preferences of our team: flex mode for candidates who are comfortable traveling to an office location 2+ times per week, remote mode, and office-based modeLearn more about our flexible work modes and vaccination policy here.
About the role
Example projects:
Develop large-scale graphs of users/listings/transactions, and develop and deploy state-of-the-art graph models for risk/fraud mitigation.
Build unsupervised/semi-supervised anomaly detection models to identify emerging patterns with high precision.
Implement and compare supervised learning models (lr, gbdt, and dnns), or ensembles of models, to improve metrics, often with multiple opposing objectives.
What you`ll do:
Push the state of the art and apply the latest advances in deep learning and machine learning to improve t&s on etsy.
Prototype, optimize, and productionize large-scale ml models that help deliver key results.
Conduct a/b experiments to validate the effectiveness of ml models and pipelines.
Collaborate with product managers, ml engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users.
Share impactful and innovative work in the wider ml research community, including speaking publicly at credible ml/ds conferences such as: kdd, wsdm, www, recsys, etc.
Qualifications
Basic requirements:
A track record of applying machine learning techniques against complex risk & fraud problems.
Expertise in any of the following fields: graph models, unsupervised anomaly detection, deep learning, natural language processing, or reinforcement learning.
Software development skills using git, linux environments, dockers or other tools for writing robust, production-ready code.
Preferred requirements:
Completed ph.dDegree in a quantitative field (e.g., computer science, industrial engineering, applied math, statistics) and 3+ years of shown experience in risk/fraud, or a m.sDegree in related fields and 6+ years of related experience.
Crafting publishings at peer-reviewed conferences.
Proficient using google cloud platform.
Building production risk/fraud detection systems, or general e-commerce systems.
Additional information
What`s next
If you`re interested in joining the team at etsy, please send a coverletter and resume telling us why you`d be right for the positionAs you`vehopefully seen already, etsy is a place that values individuality andvarietyWe don`t want you to be like everyone else - we want you to belike you! so write to us and tell us what you`re all about.
Our promise
At etsy, we believe that a diverse, equitable and inclusive workplace makesus a more relevant, more competitive, and more resilient companyWeencourage people from all backgrounds, ages, abilities, and experiences toapplyEtsy is an equal opportunity employerWe do not discriminate on thebasis of race, color, ancestry, religion, national origin, sexualorientation, age, citizenship, marital or family status, disability,gender, gender identity or expression, pregnancy or caregiver status,veteran status, or any other legally protected statusWe will ensure thatindividuals with disabilities are provided reasonable accommodations toparticipate in the job application and interview process, to performessential job functions, and to receive other benefits and privileges ofemploymentWhile etsy supports visa sponsorship, sponsorship opportunitiesmay be limited to certain roles and skillsets.
For u.sRoles only:
Many etsy roles are open to remote candidates, and you`ll be able to identify which ones within the location header of each job descriptionWe`re open to remote hires from all u.sStates except hawaii and alaskaFor candidates who will work remotely from colorado, visit this link for information related to colorado`s equal pay for equal work act.
