Remote Computer Vision Jobs
Last Week
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Software Engineer
Digital Diagnostics Inc.
$80K
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$100K
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aws cs react-js css html backend | Nov 29 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Software Engineer (Frontend, Backend, Mobile) Digital Diagnostics is looking for a Software Engineer to join our growing team of engineers to help deploy the next generation of FDA cleared medical device software! Our flagship product is the artificial intelligence algorithm where it is the computer, not the physician, diagnosing patients. Built on a series of patented machine learning algorithms, our FDA cleared software platform detects early signs of diabetic retinopathy, a debilitating eye disease that impacts the 30+ million people with diabetes in the US. We are using everything we’ve learned from IDx-DR to expand our artificial intelligence platform to help patients by detecting diseases like skin cancer. This expansion is critically enabled by our efforts in the healthcare IT space, through EHR integrations, platform connections, and analytics. Now we need to expand our team of highly skilled and motivated team members to help us change healthcare for the better. Working for Digital Diagnostics offers you the opportunity to:
Are you someone who:
Then apply to be our nextSoftware Engineer! Qualifications (aka this is what we will ask about in your interview):
This is a permanently remote position. We have engineers across the United States in many different time zones. We are committed to hiring the best engineers no matter where they reside, so location is not factored into compensation. But if you ever long for the comradery of a shared workspace, we have offices in Chicago, Boston and Iowa and would be happy to have you there! Salary Range:$80k-$100k Feeling over or under qualified but still think we’re cool? Have a specialty that doesn’t quite line up with this posting? We are recruiting at a number of levels for all sorts of specialties: Check out our career page at https://dxs.ai/about/careers/current-openings/ Unfortunately, we are not able to sponsor an immigration case for employment at this time (for example, H-1B or other employment-based immigration cases).
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Senior Software Engineer
Digital Diagnostics Inc.
$110K
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$130K
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cs webapi backend senior java machine learning | Nov 29 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Senior Software Engineer (Backend) Digital Diagnostics is looking for a Senior Backend Software Engineer to help build the technological backbone for our new platform. Our flagship product is the artificial intelligence algorithm where it is the computer, not the physician, diagnosing patients. Built on a series of patented machine learning algorithms, our FDA cleared software platform detects early signs of diabetic retinopathy, a debilitating eye disease that impacts the 30+ million people with diabetes in the US. We are using everything we’ve learned from IDx-DR to expand our artificial intelligence platform to help patients by detecting diseases like skin cancer. This expansion is critically enabled by our efforts in the healthcare IT space, through EHR integrations, platform connections, and analytics. Now we need to expand our team of highly skilled and motivated team members to help us change healthcare for the better. Working for Digital Diagnostics offers you the opportunity to:
Are you someone who:
Then apply to be our nextSenior Backend Software Engineer! Qualifications (aka this is what we will ask about in your interview):
This is a permanently remote position. We have engineers across the United States in many different time zones. We are committed to hiring the best engineers no matter where they reside, so location is not factored into compensation. But if you ever long for the comradery of a shared workspace, we have offices in Chicago, Boston and Iowa and would be happy to have you there! Salary Range:$110k-$130k Feeling over or under qualified but still think we’re cool? Have a specialty that doesn’t quite line up with this posting? We are recruiting at a number of levels for all sorts of specialties: Check out our career page at https://dxs.ai/about/careers/current-openings/ Unfortunately, we are not able to sponsor an immigration case for employment at this time (for example, H-1B or other employment-based immigration cases).
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This Month
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Senior Software Engineer, Perception |
senior cs data science machine learning computer vision docker | Nov 23 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Labelbox Labelbox is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Labelbox's vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers. Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Andreessen Horowitz, Gradient Ventures (Google’s AI-focused venture fund), Kleiner Perkins, and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes. We are looking for a Senior Fullstack Engineer, with a Frontend focus to join the Perception Team. The team’s mission is to build the most efficient tool for machine learning and computer vision teams to turn assets into high quality training data. Our customers use what we create to make breakthroughs in their fields and industries, and advance artificial intelligence. We will do this by building a tool that the customer can depend on and enjoy using with problem-focused craftsmanship, rooted in our customers. Our team specializes in processing all kinds of multimedia assets and developing innovative, reliable, and desirable annotation editors - all through a performant, efficient, and beautifully designed browser interface served to a globally-scaled workforce. As a team, we develop all over the stack and system, but our most critical expertise lies in our experience and proficiency with modern browser and graphics technologies. Who You Are
You have experience and interest in at least one of our areas of focus:
What We Value
What You Will Accomplish
We believe that AI has the power to transform every aspect of our lives -- from healthcare to agriculture. The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there. At Labelbox, we’re building a platform to accelerate the development of this future. Rather than requiring companies to create their own expensive and incomplete homegrown tools, we’ve created a training data platform that acts as a central hub for humans to interface with AI. When humans have better ways to input and manage data, machines have better ways to learn.
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Senior Computer Vision Engineer |
computer vision senior machine learning aws | Nov 18 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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BlackSky, a geospatial intelligence solutions provider based out of Herndon, VA, is looking for multiple Senior Computer Vision Engineers to join their growing team! Providing an easy, affordable way to access high-quality satellite imaging and insights, they enable various organizations from different fields to task, collect, and transform data from earth observation, global sensor networks, mobile devices, and social media. The ideal candidate has AI model development, operations, and test experience; familiarity with national security use cases; and success working in an agile development environment. In this role, you will design and implement computer vision solutions that exploit machine learning, statistical learning, and deep learning for next-generation satellite imagery analytics, while developing and prototyping algorithms, models, and analytical tools for solving domain specific business problems. Location: This role is remote Does This Describe You?
If you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us and check us out here!! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
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This Year
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Principal Backend Engineer |
ruby-on-rails python kubernetes postgresql backend golang | Sep 04 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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REMOTE /
ENGINEERING / FULL TIME APPLY FOR THIS JOB At FortressIQ we’re developing process cognition technologies that understand how businesses operate. We’re improving people’s work lives by helping to automate routine tasks, allowing them to focus on higher value work and more meaningful interactions. We’re applying the latest advances in computer vision and machine learning to deliver the insights and tools businesses need to empower the digital workforce. We’ve built the first AI platform that can understand a company’s workflows through simple observation, dramatically improving their organizational understanding. If you’re interested in designing and building a new category of business tools, and radically improving operations for some of the largest companies in the world, join us. What You'll Accomplish: We’re looking for an incredibly strong Rails focused Backend software engineer who thrives on dealing with large amounts of data on the back end (via services in mostly in Ruby with some Python and Golang). In this role you’ll join a small team building new, creative solutions to unsolved enterprise software problems, and participate in product exploration as we determine our long-term and short-term roadmap. About You:
Bonus Points!
About FortressIQ FortressIQ defines security, insights and governance in enterprise business automation and AI. Based in San Francisco, and backed by Lightspeed Ventures and some of the other best names in venture capital, we’re building the defining platform for managing automation within the Global 2000. We believe that algorithms and bots work best when they’re managed like employees: given the tools they need to succeed while being held to clear standards of success. Our mission is to help this new ‘digital workforce’ thrive within the enterprise by addressing the security, compliance and data problems endemic to using today’s automation platforms at scale. APPLY FOR THIS JOB
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A.I. Sports Startup seeks talented iOS engineer |
ios swift machine learning computer vision cpp | Aug 27 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We’re looking for a smart, passionate iOS engineer who solves problems quickly and has a startup mentality (energy, pace, wide array of responsibilities, passion for their work). Sparrow is a startup that is redefining sports training through computer vision and machine learning. Traditional coaching is due to be modernized with analysis and individualized feedback to players. Our goal is to make that happen using technology. Our flagship product, currently in pre-release, uses advanced machine learning and computer vision on a mobile device to analyze a golfer’s swing and provide feedback in real-time. Your Position
Requirements:
Nice to haves: -Objc/C++ experience -CoreML experience -You love golf (a big plus) Highlights: Competitive compensation package, equity, flexible hours, unlimited vacation time and the opportunity to join early in an angel-backed product-focused startup. In this role, you will work closely with the company founders, successful serial entrepreneurs who have started numerous companies, raised over $20 million in venture capital for them, and have 2 successful exits. You will also experience the startup culture and operational systems that helped produce several successful startups, including one worth $3 billion, one bought by Twitter, and one recently featured on TheEllenShow!
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Senior Backend Engineer |
ruby-on-rails python kubernetes backend senior golang | Aug 26 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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At FortressIQ we’re developing process cognition technologies that understand how businesses operate. We’re improving people’s work lives by helping to automate routine tasks, allowing them to focus on higher value work and more meaningful interactions. We’re applying the latest advances in computer vision and machine learning to deliver the insights and tools businesses need to empower the digital workforce.
We’ve built the first AI platform that can understand a company’s workflows through simple observation, dramatically improving their organizational understanding. If you’re interested in designing and building a new category of business tools, and radically improving operations for some of the largest companies in the world, join us. What You'll Accomplish: We’re looking for a Rails focused Backend software engineer who thrives on dealing with large amounts of data on the back end (via services in mostly in Ruby with some Python and Golang). In this role you’ll join a small team building new, creative solutions to unsolved enterprise software problems, and participate in product exploration as we determine our long-term and short-term roadmap. About You:
Bonus Points!
About FortressIQ FortressIQ defines security, insights and governance in enterprise business automation and AI. Based in San Francisco, and backed by Lightspeed Ventures and some of the other best names in venture capital, we’re building the defining platform for managing automation within the Global 2000. We believe that algorithms and bots work best when they’re managed like employees: given the tools they need to succeed while being held to clear standards of success. Our mission is to help this new ‘digital workforce’ thrive within the enterprise by addressing the security, compliance and data problems endemic to using today’s automation platforms at scale. APPLY FOR THIS JOB
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Software Engineer |
full stack java javascript ruby machine learning computer vision | Aug 11 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Description Headquartered in New York City, AiCure produces mobile and cloud-based applications that leverage Computer Vision and Machine Learning to assist pharmaceutical & healthcare businesses to improve drug development and population health. When patients use our apps, information on their medication intake is recorded, which allows stakeholders to gain insights and to take actions (patient alerts, etc.). Our apps identify the patient (face verification), verify that patients are taking the right medication (pill recognition), and that they are actually taking their medication (action recognition). As a Full Stack engineer, you’ll architect and build product features from the database all the way to the UI. You’ll collaborate closely with colleagues in Design and Product. Working in a small, cross functional team, your work will have significant impact on healthcare for everyone on the planet! Experience in healthcare is NOT required. Key responsibilities
Requirements
Philosophy Our selection process is highly competitive because we only hire the best, most enthusiastic candidates. Openness, flexibility, creativity, ownership, and accountability are our main pillars. We love solving challenging problems and creating solutions that have real impact on people- at scale. Impact We're on a mission to revolutionize healthcare and when you join us, you'll have the opportunity of having real, tangible impact not only on individuals directly using our technology, but also on how drugs are tested and brought to market across the world. That means everyone on the planet will benefit from what you do. You'll be inspired every day because you'll be making a real difference and you'll see it happen. In real time and at scale. People You'll work with brilliant, positive people who thrive in an interdisciplinary, multi-cultural environment, and are curious, creative, and focused on executing our mission. You'll be up to speed in the the most recent advances in Artificial Intelligence (Machine Learning, Computer Vision, Big Data) while solving challenging problems that must take into account many fascinating aspects of human psychology and behavior. You'll work with Scientists, Engineers, Designers, and Medical Doctors, to create innovative products that scale in an environment that encourages learning, collaboration, and growth.
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Software Engineer |
android java machine learning computer vision healthcare aws | Aug 11 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Description AiCure is a VC-funded startup that leverages mobile technology by combining it with artificial intelligence (computer vision, machine learning, and big data) to bring better health, better drugs, and better treatment to everyone on the planet. We’re rapidly expanding and if you’re passionate about making a positive impact, we’d like to hear from you. When participants in clinical trials, or patients use the AiCure apps, information on their medication intake is reported in various dashboard products, which allow stakeholders to gain insights and to take actions (patient alerts, etc.). Our apps use computer vision to identify the patient (face verification), verify that patients are taking the right medication (pill recognition), and that they are actually taking their medication (action recognition). We are also working on other novel therapeutic applications of computer vision. Key responsibilities
As a mobile software engineer at AiCure you will be responsible for developing all patient-facing applications. You’ll work closely with our scientists and engineers to incorporate advanced AI technologies. Your work will be used at scale and will have significant impact on healthcare for everyone on the planet! Experience in healthcare is NOT required. Requirements
Philosophy Our selection process is highly competitive because we only hire the best, most enthusiastic candidates. Openness, flexibility, creativity, ownership, and accountability are our main pillars. We love solving challenging problems and creating solutions that have real impact on people- at scale. Impact We're on a mission to revolutionize healthcare and when you join us, you'll have the opportunity of having real, tangible impact not only on individuals directly using our technology, but also on how drugs are tested and brought to market across the world. That means everyone on the planet will benefit from what you do. You'll be inspired every day because you'll be making a real difference and you'll see it happen. In real time and at scale. People You'll work with brilliant, positive people who thrive in an interdisciplinary, multi-cultural environment, and are curious, creative, and focused on executing our mission. You'll be up to speed in the the most recent advances in Artificial Intelligence (Machine Learning, Computer Vision, Big Data) while solving challenging problems that must take into account many fascinating aspects of human psychology and behavior. You'll work with Scientists, Engineers, Designers, and Medical Doctors, to create innovative products that scale in an environment that encourages learning, collaboration, and growth.
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Applied Scientist - Machine Learning |
machine learning python c cs computer vision nlp | Jul 19 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Company Description Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed. Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x. Since its founding in 2014, Hyperscience has grown to more than 140 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits. Job Description We are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us. Machine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems. This is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. Responsibilities
Qualifications
Benefits & Perks
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia/UK roles: All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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VP of Machine Learning |
machine learning computer vision healthcare nlp | Jun 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Company Description Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed. Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x. Since its founding in 2014, Hyperscience has grown to more than 140 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits. Job Description We are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us. Machine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems. This is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. The VP of Machine Learning (“ML”) will build, grow, and lead the cutting-edge research of Hyperscience’s Machine Learning team. You will lead the team in research, experimentation, and implementation of new ML models and approaches which are mission-critical for Hyperscience. Your team will also own the foundation for data, infrastructure, and tooling that accelerates ML experimentation at Hyperscience. As a machine learning thought leader and executive partner, you will identify key strategic opportunities and product improvements, helping to solidify Hyperscience’s position as the leader in automation. Responsibilities
Qualifications
Benefits & Perks
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia:All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Director of Machine Learning Research |
machine learning executive computer vision healthcare nlp | Jun 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Company Description Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed. Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x. Since its founding in 2014, Hyperscience has grown to more than 140 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits. Job Description We are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us. Machine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems. This is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. The Director of Machine Learning Research will lead a cutting-edge ML research team at Hyperscience. You will drive and lead mission-critical research and experimentation into new ML models and approaches. As a machine learning thought leader with a strong academic background in ML and AI, you will identify key strategic opportunities and areas for focused research, solidifying Hyperscience’s position as the leader in automation. Responsibilities
Qualifications
Benefits & Perks
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia:All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Research Engineer |
python c cs computer vision nlp healthcare | May 11 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Company Description At Hyperscience we develop and deliver intelligent solutions to automate manual document processing for global financial services, insurance, healthcare, and government organizations. Founded in 2014, our solution extracts handwritten, cursive and printed typed text at better-than-human levels of accuracy and automation that get better over time. By streamlining operations and reducing the costs associated with data entry, we enable some of the world’s largest companies to improve customer service and drive new business opportunities. With more than $50 million raised to date, we’re growing quickly and looking for individuals to join our team and make a difference in our organization and for our customers. Job Description Machine Learning (ML) is at the core of what we do. We turn ML lab experiments into enterprise-ready AI solutions - and we’re looking for continuous learners to work on these efforts. We are focusing on understanding document images and extracting structured and unstructured data. This naturally leads us to solve a number of problems in machine perception and natural language understanding. This is an opportunity to work on the full lifecycle of an ML solution - you will research cutting edge techniques (Computer Vision, Natural Language Processing, Meta Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. Furthermore, you’ll provide opportunities for these models to be automatically retrained and get smarter over time. Responsibilities
Qualifications
Benefits & Perks
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia:All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Computer Vision Engineer |
c cpp docker gstreamer computer-vision computer vision | May 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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ZeroEyes was founded by military special operations veterans, self-starters, and elite technologists. Our mission is to prevent gun violence and mass shootings by leveraging Artificial Intelligence. We are recruiting those interested in joining an extremely high growth startup. If you are searching for a job that asks of you the bare minimum, please do not apply. Your position, perseverance, and skillset are crucial to our mission success. You will be asked to break new ground. We are not looking for passion; we are looking for obsession in our mission to save lives. If you lack the minimum requirements, but believe you are the right candidate, please apply and let us know why you are still a fit. We look forward to speaking with you! If you are missing some of the skills but believe you are the right candidate, tell us why. In this position you will be:
You must have:
Additional preferred experience:
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Paid Research Study for Developers with Machine Learning and AI Experience |
machine-learning computer-vision artificial-intelligence machine learning | Feb 14 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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User Research International is a research company based out of Redmond, Washington. Working with some of the biggest companies in the industry, we aim to improve your experience via paid research studies. Whether it be the latest video game or productivity tools, we value your feedback and experience. We are currently conducting a research study called ML/AI Decision Maker Study. We are looking for currently employed Full-Time Developers who are involved in purchasing data for machine learning purposes in their company. This study is a one-time Remote study via an online meeting. We’re offering $100 for remote and $175 for in-person participation in this study. Session lengths are 60-minutes. These studies provide a platform for our researchers to receive feedback for an existing or upcoming products or software. We have included the survey link for the study below. Taking the survey will help determine if you fit the profile requirements. Completing this survey does not guarantee you will be selected to participate. If it's a match, we'll reach out with a formal confirmation and any additional details you may need. I have summarized the study details below. In order to be considered, you must take the survey below. Thank you! Study: ML/AI Decision Maker Study Gratuity: $100 for Remote, $175 for In-Person Session Length: 60-minutes Location: Remote via Online Meeting or In-Person in Redmond, WA Dates: Available dates are located within the survey
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Don't see your role here? |
data science machine learning computer vision healthcare | Feb 03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Don't quite see the role you're looking for? Labelbox is growing incredibly fast and we are posting new roles frequently. Send us your resume so we can keep you in the loop as we grow. About Labelbox Labelbox is at the heart of the AI-powered computer vision revolution. Almost every decision a human makes is visual and these decisions power every industry, from healthcare to agriculture. With AI, computers can now see like humans and can make decisions in the same way. With this newfound capability, our society will build self-driving cars, accessible healthcare, automated farms that can support our global population, and much more. The bottleneck to achieving these things with AI is the training data sets. We are building Labelbox to solve this bottleneck for data science and machine learning teams. Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Gradient Ventures (Google’s AI-focused venture fund), Kleiner Perkins and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes.
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Marketing Operations Manager |
manager data science machine learning computer vision healthcare | Dec 18 2019 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Labelbox is at the heart of the AI-powered computer vision revolution. Almost every decision a human makes is visual and these decisions power every industry, from healthcare to agriculture. With AI, computers can now see like humans and can make decisions in the same way. With this newfound capability, our society will build self-driving cars, accessible healthcare, automated farms that can support our global population, and much more. The bottleneck to achieving these things with AI is the training data sets. We are building Labelbox to solve this bottleneck for data science and machine learning teams. Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Google, Kleiner Perkins and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes. Labelbox is hiring a Marketing Operations Manager to join our growing Marketing team you will be responsible for managing our marketing and sales operations infrastructure. As an early marketing hire on our team, you will help:
The ideal candidate will have:
BONUS Points if you have experience working with data warehouses, Customer Data Platforms and DMPs. Expertise in each and every function is not required, we are looking for candidates who exhibit full-stack marketing knowledge and the aptitude to learn and develop skills. Labelbox is an equal opportunity employer. No sponsorship is available for this position. Valid US Work Authorization is required.
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Data Scientist |
python machine learning computer vision mongodb healthcare aws | Dec 12 2019 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We are looking for a talented Data Scientist to join our team at Prominent Edge. We are a small company of 24+ developers and designers who put themselves in the shoes of our customers and make sure we deliver strong solutions. Our projects and the needs of our customers vary greatly; therefore, we always choose the technology stack and approach that best suits the particular problem and the goals of our customers. As a result, we want developers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We want engineers who have an in-depth knowledge of Amazon Web Services and are up for using other infrastructures when needed. We understand that for our team to perform at its best, everyone needs to work on tasks that they enjoy. Most of our projects are web applications which and often have a geospatial aspect to them. We also really take care of our employees as demonstrated in our exceptional benefits package. Check out our website at http://prominentedge.com for more information and apply through http://prominentedge.com/careers. Ideal candidates are those who can find value out of data. Such a person proactively fetches information from various sources and analyzes it for a better understanding of the problem, and may even build AI/ML tools to make insights. The ideal candidate is adept at using large datasets to find the right needle in a pile of needles and uses models to test the effectiveness of different courses of action. Candidates must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large datasets and working with stakeholders to improve mission outcomes. A successful candidate will have experience in many (if not all) of the following technical competencies including: statistics and machine learning, coding languages, databases, and reporting technologies. Required Skills
Desired Skills
W2 Benefits
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