Looking for a New Job? ganc.in is one stop place for searching new job openings.
We got a new job details in Etsy & they are Hiring Candidates for Staff Applied Scientist I, Recommendations & Personalization
Company Name : Etsy
Company Location : Brooklyn, NY 11201
Job Position : Staff Applied Scientist I, Recommendations & Personalization
Job Category : Jobs in New York
Job Description :
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, 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 Elo7. As an Etsy employee, you’ll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We’re large enough that you’ll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
What’s the role?
Etsy is an international marketplace with 65M+ handmade and vintage items from passionate artists, designers, and vintage collectors. Our Recommendations and Personalization (PersoEng) enables product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers.
As a Staff Applied Scientist, you will be responsible for initiating and delivering new solutions for the domain application of Recommendations. We are looking for individuals who are product & technology-driven, and are passionate about making ML innovations in areas such as: Natural Language Processing, Representation Learning, Clustering, Optimization, Deep Learning, Graph Learning, and Reinforcement Learning to help improve the Etsy buyer/seller experience!
This is a full-time position reporting to the Applied Science Manager, Recommendations. For this role, we are considering candidates based in the U.S. who are either remote, flex or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What’s this team like at Etsy
We build capabilities to select relevant item candidates to help product teams to provide personalized user experiences.
We use machine learning algorithms to train models which can be used to choose relevant personalized candidate sets for our recommendation engine.
What does the day-to-day look like?
Initiate and lead a new track of works to enhance the capability of candidate generation for Etsy’s Recommendation engine.
Develop innovative representations to capture salient signals of our users and listings, including aspects like content, function, budget, and preferences.
Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized retrieval, ranking, revenue optimization, seller fairness, and seasonality
Mentor other applied scientists and guide them during their projects
Work closely and collaboratively with software engineers, data scientists, product managers, and designers
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 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:
Successful track record of applying machine learning techniques in addressing real-world problems
Experience with / working in one of the following fields: reinforcement learning, deep learning, or computer vision
Shown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code
Ability to write and manipulate data at a large scale, in distributed environments
Experience using Google Cloud Platform
Experience in representation learning
Experience in Approximate-Nearest- Neighbor (ANN) search
Experience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems.
Experience using the following frameworks: Spark Scala, Airflow, Kubflow, Tensorflow
If you’re interested in joining the team at Etsy, please send a cover letter and resume telling us why you’d be right for the position. As you’ve hopefully 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 write to us and tell us what you’re all about.
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.
For U.S. roles 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 description. We’re open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado’s Equal Pay for Equal Work Act.
Disclaimer : We are just publishing information regarding new job openings and not legally responsible for any Post. Candidates are requested not to pay any money to anyone posing as ganc.in