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.

Etsy is hiring a Machine Learning Engineer to join the Retrieval Sciences team. We are looking for individuals who are product and delivery-driven, and are passionate about making ML innovations in information retrieval to help improve the Etsy buyer/seller experience.

Does the problem of finding a needle in the haystack—the perfect handmade or vintage product among hundreds of millions that is unique for each use—using the latest ML innovations, at scale in a two-sided marketplace with 105+ million buyers, 5+ million sellers sound exciting to you? If so, this could be the perfect match.

Our team works closely with other Machine Learning and Information Retrieval Platform teams to develop state of the art, large-scale models to retrieve the most relevant products for Etsy buyers. We are looking for individuals who are passionate about making ML innovations in search and retrieval to improve the Etsy buyer experience.

This is a full-time role based in Brooklyn, NY, or San Francisco, CA, or remote within the US &amp; Canada. Etsy 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 at least 4-6 days per month, Remote mode, and Office-based mode. Learn more about our flexible work modes and vaccination policy&nbsp;<a href="https://careers.etsy.com/global/en/how-and-where-we-work">here</a>.

Our team builds the first stage candidate retrieval layer that powers multiple applications in Etsy, including search at etsy.com. We closely track the latest techniques in ML, NLP, and IR research and apply them at Etsy’s scale of hundreds of millions of hand-crafted and vintage items. Here is a sample of models and techniques we design, build, and productionize:

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.

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&nbsp;<a href="https://careers.etsy.com/global/en/Colorado-Equal-Pay-for-Equal-Work-Act-Information">link</a>&nbsp;for information related to Colorado's Equal Pay for Equal Work Act.

Etsy is the global marketplace for unique and creative goods.

Software Engineer II, Machine Learning, Retrieval Sciences

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.

Etsy is hiring a Machine Learning Engineer to join the Search Matching team. We are looking for individuals who are product and delivery-driven, and are passionate about making ML innovations in search matching to help improve the Etsy buyer/seller experience.

Does the problem of finding a needle in the haystack— the perfect handmade or vintage product among hundreds of millions that is unique for each user –&nbsp; using the latest ML innovations, at scale in a two-sided marketplace with 90+ million buyers, 4+ million sellers sound exciting to you? If so, this could be the perfect match.

Our team works closely with other Machine Learning and Information Retrieval Platform teams to develop custom large-scale models to retrieve the most relevant products for Etsy buyers. We are looking for individuals who are passionate about making ML innovations in search matching and retrieval to improve the Etsy buyer experience.

Here’s a taste of the problems we’re solving. We design, build and productionize:

What's NextIf 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.Our PromiseAt 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&nbsp;<a href="https://careers.etsy.com/global/en/Colorado-Equal-Pay-for-Equal-Work-Act-Information">link</a>&nbsp;for information related to Colorado's Equal Pay for Equal Work Act.

Senior Software Engineer II, Machine Learning, Search Matching

We are creating a food delivery app that uses autonomous drones to deliver the food. We deliver everything 5 times faster and 100 times cheaper, thanks to small autonomous delivery-robots. The company was founded in 2017 by a leading expert on drone legislation and a successful e-commerce entrepreneur. The Swiss Federal Institute of Technology’s Vice Presidency of Innovation has recognized the large potential of this project and has supported us with the XGrant Prize and other resources. Check our website <a href="http://onesec.com">OneSec.com</a>&nbsp;for more information

OneSec is building one of the largest machine learning projects in the drone industry.

With our own photorealistic flight simulator, and a fleet of prototype drones, we have built one of the largest 3d perception dataset in the world, and we are building a large computer cluster of NVIDIA and Tenstorrent chips to scale up our machine learning to GPT-Scale.

-Neural network training and optimization -Dataset management and generation -Supporting our hardware team in building up our exaflop-scale machine learning cluster

Here are some of the Neural Networks you will be building:

-Delivery surface finder: A neural net that picks the optimal delivery surface within a balcony or backyard of a customer. Usually this will be a table or chair or a section of the floor that has enough clearance.

-OneSec Fruxel Depthmap: This is a convolutional neural network that takes camera images and generates a simple, but highly sophisticated vector representation of the space around the drone. Our pathplanner then uses this depthmap to plan a collision free path for the drone.

-Visual Odometry Model: Our control system always needs an accurate understanding of how our drone is moving around from frame to frame.

-Payload Positon tracker: While delivering the package, our control system needs to know how the package is sliding out of the payload bay. This model simply takes in the camera images and outputs the current location of the package.

-Delivery Clearance Model: This model checks the camera images to see if the scene is safe to approach. We don't fly into a balcony if there's a human or dog in it. And when we approach a restaurant to pickup a package, we make sure the scene is clear of humans, pets etc.

In order to apply for a job, please do the following 3 things:

1. Send us your CV to jobs@onesecdelivery.com . Please state in the subject what position you are applying for

2.&nbsp;Take 30 minutes of uninterrupted and focused time to complete this <a href="https://onesecdelivery.com/problem-solving-test.html">problem solving test</a>

3.&nbsp;Take 5 minutes to complete <a href="https://onesecdelivery.com/disc-test.html">this personality quiz</a>

Promising drone-delivery startup is hiring a Dataset and Machine Learning Manager to work remotely. OneSec is working on a groundbreaking GPT-scale machine learning project to make autonomous delivery drones. In this job, you will build the Datasets and Neural Networks that fly our autonomous delivery drones. These drones will then deliver millions of meals and other packages in the real world.

Machine learning and dataset engineer

Our technology team works fast and smart. With San Francisco as our home, we take bringing new tech to market seriously, developing the latest in mobile technologies, scalable architecture, and the coolest in-store client experience. We love what we do and we have fun doing it. The Technology group is comprised of motivated self-starters and true team players that are absolutely integral to the growth of Sephora and our future success.&nbsp;

As a Principal Machine Learning Engineer, you will focus on the CRM, Digital Marketing and Personalization space and utilize your talents to help Sephora continue inspiring our loyal customers in beauty space. We're investing heavily in a new machine learning platform and looking for a senior leader to build and grow this team. This hands-on technical role demands excellent knowledge with the ability to demonstrate best practices in the industry. This position calls for a seasoned leader in cutting-edge deep learning practices who enjoys being part of a beauty leader recognized across the globe. This position reports directly into the VP of Data Engineering &amp; Marketing Technology and will work closely on technical direction.

Working at Sephora’s Field Support Center (FSC)

Our North American operations are based in the heart of San Francisco’s Financial District, but you won’t hear us call it a headquarters – it’s the Field Support Center (FSC). At the FSC, we support our stores in providing the best possible experience for every client. Dedicated teams cater to our client’s every need by creating covetable assortments, curated content, compelling storytelling, smart strategy, skillful analysis, expert training, and more. It takes a lot of curious and confident individuals, disrupting the status quo and taking chances. The pace is fast, the fun is furious, and the passion is real. We never rest on our laurels. Our motto? If it’s not broken, fix it.

Sephora is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Sephora is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Sephora will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.

As a Principal Machine Learning Engineer, you will focus on the CRM, Digital Marketing and Personalization space and utilize your talents to help Sephora continue inspiring our loyal customers in beauty space.

Deep Learning Ecommerce Jobs October - 2022

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Software Engineer II, Machine Learning, Retrieval Sciencesat Etsy

Etsy is the global marketplace for unique and creative goods.

Senior Software Engineer II, Machine Learning, Search Matchingat Etsy

Etsy is the global marketplace for unique and creative goods.

Machine learning and dataset engineerat OneSecondDelivery

Principal Engineer, Machine Learningat Sephora

As a Principal Machine Learning Engineer, you will focus on the CRM, Digital Marketing and Personalization space and utilize your talents to help Sephora continue inspiring our loyal customers in beauty space.