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Short story
Literary genre
Stories.com is a captivating online platform that serves as a hub for storytelling enthusiasts from all walks of life. With an extensive collection of narratives spanning different genres, it offers a treasure trove of captivating tales, both fiction and non-fiction. The site provides a unique platform for aspiring writers to showcase their work and receive feedback from a diverse community. Readers are treated to an immersive experience as they navigate through an array of thought-provoking stories, ranging from heartwarming accounts to thrilling adventures. Ultimately, Stories.com aims to foster a vibrant storytelling community that celebrates the power and beauty of narratives in bringing people together.
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EncryptedSite is Encrypted
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CountryHosted in United States
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CityStockholm, Stockholm
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Latitude\Longitude59.3333 / 18.05 Google Map
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Traffic rank#17,113 Site Rank
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Site age24 yrs old
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Site Owner informationWhois info
Website is Safe
Site is not blacklisted
Traffic rank
#17,113
#17,113
Site age
24 yrs
24 yrs
Location
United States
United States
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Newest job postings for Short story
via Built In Seattle
posted_at: 22 days agoschedule_type: Full-timesalary: 196K–335K a year
Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around... the world, every day. We're deeply committed to the
Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around... the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
Some core features we build and maintain include Snapchat's Camera, Creative Tools, Maps, Chat, Memories, Stories (Discover), Spotlight, Games, and Minis. Our Infrastructure teams deliver an innovative and cost-efficient platform that ensures Snapchat is the fastest way to communicate with your friends, no matter where you are in the world. We have one of the fastest growing digital ad platforms, and our Monetization teams drive measurable returns for advertisers through novel ad formats like Augmented Reality. As a Snap Engineering team member, you'll help us build the future of communication.
We're looking for a Machine Learning Manager, Stories Ranking to join Snap!
What you'll do:
• Lead a team of machine learning engineers to build and deploy scalable ML models that power content quality and recommendations across Friend Stories, Subscriptions, and Discover sections.
• Collaborate with cross-functional teams, including Product, Design, Data Science, and Infrastructure, to define and prioritize ML initiatives that align with Snap's strategic objectives.
• Manage and develop team members, provide technical guidance and mentorship, and foster a culture of innovation and continuous learning.
• Drive best practices for software development, ML engineering, and data management to ensure the reliability, performance, and privacy of ML systems.
• Stay current with the latest research and industry trends in ML and related fields, and apply them to solve complex problems in innovative ways.
Knowledge, Skills & Abilities:
• Deep expertise in machine learning, with a track record of developing and deploying production-grade ML systems at scale.
• Strong leadership and management skills, with experience in leading high-performing teams of ML engineers and delivering business impact.
• Proficiency in programming languages commonly used in ML, such as Python, as well as familiarity with relevant frameworks and tools, such as TensorFlow, PyTorch, and scikit-learn.
• Solid understanding of how to invest in both long term efforts that will have tangible milestones, as well as short-term optimizations with concrete goals.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
Minimum Qualifications:
• Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related technical field.
• 8+ years of relevant industry experience in ML engineering or a related field.
• 1+ years of experience in managing and leading teams of ML engineers.
Preferred Qualifications:
• Advanced degree in Computer Science, Electrical Engineering, or a related technical field.
• Experience in developing and deploying ML models for social media or consumer-facing products.
• Experience in applying ML to computer vision, natural language processing, or recommendation systems.
• Contributions to open-source ML projects or publications in top-tier ML conferences or journals.
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These pay zones may be modified in the future.
• Zone A (CA, WA) : The base salary range for this position is $230,000 - 335,000 annually
• Zone B : The base salary range for this position is $219,000 - 318,000 annually
• Zone C : The base salary range for this position is $196,000 - $28,000 annually
• This position is eligible for equity in the form of RSUs
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office at least 80% of the time (an average of 4 days per week).
If you are not based in the same location(s) listed for this role and are open to relocation, we encourage you to apply to take advantage of our generous relocation policy.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don't be shy and contact us at accommodations-ext@snap.com.
Our Benefits : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success Show more details...
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around... the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
Some core features we build and maintain include Snapchat's Camera, Creative Tools, Maps, Chat, Memories, Stories (Discover), Spotlight, Games, and Minis. Our Infrastructure teams deliver an innovative and cost-efficient platform that ensures Snapchat is the fastest way to communicate with your friends, no matter where you are in the world. We have one of the fastest growing digital ad platforms, and our Monetization teams drive measurable returns for advertisers through novel ad formats like Augmented Reality. As a Snap Engineering team member, you'll help us build the future of communication.
We're looking for a Machine Learning Manager, Stories Ranking to join Snap!
What you'll do:
• Lead a team of machine learning engineers to build and deploy scalable ML models that power content quality and recommendations across Friend Stories, Subscriptions, and Discover sections.
• Collaborate with cross-functional teams, including Product, Design, Data Science, and Infrastructure, to define and prioritize ML initiatives that align with Snap's strategic objectives.
• Manage and develop team members, provide technical guidance and mentorship, and foster a culture of innovation and continuous learning.
• Drive best practices for software development, ML engineering, and data management to ensure the reliability, performance, and privacy of ML systems.
• Stay current with the latest research and industry trends in ML and related fields, and apply them to solve complex problems in innovative ways.
Knowledge, Skills & Abilities:
• Deep expertise in machine learning, with a track record of developing and deploying production-grade ML systems at scale.
• Strong leadership and management skills, with experience in leading high-performing teams of ML engineers and delivering business impact.
• Proficiency in programming languages commonly used in ML, such as Python, as well as familiarity with relevant frameworks and tools, such as TensorFlow, PyTorch, and scikit-learn.
• Solid understanding of how to invest in both long term efforts that will have tangible milestones, as well as short-term optimizations with concrete goals.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
Minimum Qualifications:
• Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related technical field.
• 8+ years of relevant industry experience in ML engineering or a related field.
• 1+ years of experience in managing and leading teams of ML engineers.
Preferred Qualifications:
• Advanced degree in Computer Science, Electrical Engineering, or a related technical field.
• Experience in developing and deploying ML models for social media or consumer-facing products.
• Experience in applying ML to computer vision, natural language processing, or recommendation systems.
• Contributions to open-source ML projects or publications in top-tier ML conferences or journals.
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These pay zones may be modified in the future.
• Zone A (CA, WA) : The base salary range for this position is $230,000 - 335,000 annually
• Zone B : The base salary range for this position is $219,000 - 318,000 annually
• Zone C : The base salary range for this position is $196,000 - $28,000 annually
• This position is eligible for equity in the form of RSUs
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office at least 80% of the time (an average of 4 days per week).
If you are not based in the same location(s) listed for this role and are open to relocation, we encourage you to apply to take advantage of our generous relocation policy.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don't be shy and contact us at accommodations-ext@snap.com.
Our Benefits : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success Show more details...
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