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Clear 4 results

Median pay is $117,500/y

Carted


๐ŸŽˆ verified
๐ŸŒ Worldwide
 
๐Ÿ’ฐ $100k - $200k

machine learning

 

python

 

nlp

 
Carted

Carted

carted.com

Apply now

๐Ÿ”Ž3,892 views

โœ… 1,614 applied (41%)

Carted is also hiring a:

Carted is hiring a
Remote Machine Learning Engineer

**OUR STORY**\n\nWeโ€™re on a mission to build solutions for the next generation of commerce. Ultimately we enable developers and platforms to make commerce seamless by connecting them to millions of merchants and billions of products with a single API.\n\nCarted will power commerce experiences anywhere on the internet, allowing developers and content creators to build a direct checkout of any product from any merchant via any content on the web.\n\n**We are looking for Machine Learning Engineers to join our team and come help us solve data-driven problems at Petabyte scale.**\n\n**REQUIREMENTS**\n* Python, TensorFlow/PyTorch.\n* NLP (problems include entity extraction, intent classification, sentence classification).\n* Is well-aware of the current state of research in the domain (representation learning) and comfortable with implementing new ideas when needed.\n* ML Solution engineering experience with any of the following cloud service providers: Google Cloud * Platform, Microsoft Azure, Amazon Web Services.\n* Vector similarity search at scale with open-source tools like ScaNN, Faiss, Annoy, etc.\n* Computer vision (problems include fine-grained image classification, localization, etc.)\n\n**BONUS POINTS**\n* Experience with handling e-commerce data.\n* Docker and k8s.\n* Exposing ML models as gRPC/RESTful APIs or with fully managed serverless systems.\n* Has trained deep neural networks using distributed training for large datasets using TPUs.\n* Deployed ML model / NLP models / computer vision models that are currently in production.\n\n**WHY COME AND JOIN OUR TEAM**\n\nWe are a well-funded, fast growing startup with people around the globe. You will have autonomy and ownership of the work you do, with flexible hours\n\nWe offer a competitive base salary plus equity, so you are rewarded for your best work. On top of this we offer generous paid holidays. Holiday is called holiday at Carted and never โ€˜annual leaveโ€™ as we are big believers that holiday is your time and we want you to enjoy it! We also provide you with top-end equipment to make your space enjoyable.\n\nWe have a training and development allowance to invest in your personal and professional development.\n\nWe like to learn quickly, do things differently and most importantly, have fun! \n \n\nBe sure to mention the word **PEPPED** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $100,000 — $200,000/year\n \n\n#Location\n๐ŸŒ Worldwide


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OneSecondDelivery

 This job is getting a high amount of applications right now (59% of viewers clicked Apply)

closed
Eastern Europe, Latin America, South Asia, Middle East/africa
 
๐Ÿ’ฐ $30k - $100k

machine learning

 

pytorch

 

computer vision

OneSecondDelivery

OneSecondDelivery

๐Ÿ”Ž2,206 views

โœ… 1,299 applied (59%)

This job post is closed and the position is probably filled. Please do not apply.
**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.**\n\n##About OneSecondDelivery\nWe 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 Technologyโ€™s Vice Presidency of Innovation has recognized the large potential of this project and has supported us with the XGrant Prize and other resources.\n\nYou can check out our website OneSec.com for more info\n\n##Job Description\nOneSec is building one of the largest machine learning projects in the drone industry.\nWith our own photorealistic flight simulator, and a fleet of prototype drones, we are building one of the largest depth perception datasets in the world, with 60 million training samples. As well as an unsupervised pre-training pipeline with 400 million training samples. We are building a large computer cluster of NVIDIA and Tenstorrent chips to scale up our machine learning project to this scale. \n\n####Your job has 3 components:\n* Neural network training and optimization\n* Dataset management and generation\n* Supporting our hardware team in building up our exaflop-scale machine learning cluster\n\n####Here are some of the Neural Networks you will be building:\n\n-Delivery surface finder:\nA neural net that picks the optimal delivery surface within a balcony or backyard of a customer.\nUsually this will be a table or chair or a section of the floor that has enough clearance.\n\n-OneSec Fruxel Depthmap:\nThis is a convolutional neural network that takes camera images and generates a 3D representation of the space around the drone. Our pathplanner then uses this depthmap to plan a collision free path for the drone. This neural network represents the core of our autopilot system. \n\n-Delivery Clearance Model:\nThis 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.\n\n###Requirements\n* The most important thing is that you are excited about this project, and like the mission of our company.\n* Knowledgeable about machine learning and neural networks. Both practical and theoretical.\n* Experience with computer vision and convolutional networks\n* Experience with PyTorch and TensorFlow\n* Good computer skills, and general tech savvy: you will do many tasks like setting up recording devices to record datasets, creating small python programs for dataset labelling and management, post processing large image datasets etc.\n\n###Benefits:\n* Take part in a huge success story\n* Flexible work schedule\n* Competitive cash compensation\n* Equity compensation (become a partner in the company) \n\nBe sure to mention the words **AUTHOR EXCHANGE MARKET** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $30,000 — $100,000/year\n \n\n#Location\nEastern Europe, Latin America, South Asia, Middle East/africa


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Lambda


closed
United States & Canada
 
๐Ÿ’ฐ $110k - $120k

linux

 

python

 

pytorch

 
Lambda

Lambda

lambdal.com

๐Ÿ”Ž2,357 views

โœ… 167 applied (7%)

This job post is closed and the position is probably filled. Please do not apply.
## About the Role\n\nWeโ€™re looking for a technical support engineer who is excited about providing customers with world class technical support for their GPU cloud infrastructure.\n\nThis role is a great way to build a deep understanding of high performance GPU cloud computing, which is a great stepping stone into future opportunities. With a front row seat to the Machine Learning (ML) space, you won't be supporting run of the mill tech. You'll be exposed to: cutting edge ML frameworks and models, exciting new projects being built by users large and small, and a fast growing field of ML researchers and engineers. \n\n## What Youโ€™ll Do\n* Be first point of contact for all incoming cloud technical support questions (phone, email, chat, and forum)\n* Troubleshoot both linux and machine learning issues for customers both large and small\n* Document solutions to common problems\n* Help us improve our support processes so we can better provide helpful and timely support\n\n## Experience thatโ€™s great to have\n* Linux administration experience, either hobbyist or professional\n* Shell and Python scripting proficiency\n* Experience with at least one machine learning framework (i.e. TensorFlow or PyTorch)\n* Excellent written and oral communication skills\n\n## Nice to Have\n* Experience implementing automations in either Zendesk or Intercom\n* Prior cloud technical support experience\n\n## About Lambda\n* We offer generous cash & equity compensation.\n* Investors include Gradient Ventures, Googleโ€™s AI-focused venture fund.\n* We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability.\n* Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS,ICCV, SIGGRAPH, and TOG.\n* We have a wildly talented team of 30, and growing fast.\n* Our remote workforce, based on role, is across the U.S., with headquarters in San Francisco.\n* Health, dental, and vision coverage for you and your dependents.\n* Commuter/Work from home stipends.\n* 401k Plan.\n* 3 weeks Annual Paid Time Off.\n\n## Equal Opportunity Employer\nLambda Labs is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. \n\nBe sure to mention the words **UNCLE POINT HOVER** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $110,000 — $120,000/year\n \n\n#Location\nUnited States & Canada


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Sticker Mule


๐ŸŽˆ closed
๐ŸŒ Worldwide
 
๐Ÿ’ฐ $100k - $140k

docker

 

javascript

 

python

 

golang

Sticker Mule

Sticker Mule

๐Ÿ”Ž4,042 views

โœ… 608 applied (15%)

Sticker Mule is also hiring a:

This job post is closed and the position is probably filled. Please do not apply.
**About Sticker Mule**\nSticker Mule is the Internet's most "kick ass" brand. We are privately-owned, profitable, and powered by a globally distributed team who cares deeply about delivering a great customer experience at the highest technical standards. Our software team operates from 17 countries, and we're always looking for more exceptional engineers.\n\nThe Machine Learning team is responsible for building and maintaining our ML-assisted tools like Trace and Upscale.\n\n[See more about our teams here](https://www.stickermule.com/about)\n\n**We offer**\n1. Remote work with flexible schedules\n2. Varied, interesting technical challenges to solve\n3. A fun "no bullshit" work environment\n\n**We like you to know**\n1. Docker\n2. JavaScript\n3. Python\n4. Go\n5. TensorFlow\n6. PyTorch\n7. Postgres\n8. Familiarity with Computer Vision\n9. Excellent communication skills (English)\n10. Degree in Computer Science or equivalent practical experience\n\n**Challenges**\n1. Improve our ML-assisted tools\n2. Train new models for upcoming projects\n3. Maintain optimal performance at scale\n\n**Compensation and benefits**\n1. $99,000-$135,000+\n2. $10,000 signing bonus\n3. 4 weeks vacation \n\nBe sure to mention the words **DINNER RAISE INITIAL** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $100,000 — $140,000/year\n \n\n#Location\n๐ŸŒ Worldwide


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# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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