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RE2 Robotics

 This job is getting a pretty high amount of applications right now (12% of viewers clicked Apply)

closed
🌏 Likely worldwide

dev

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nSenior Software Engineer-Computer Vision\nRE2 Robotics, a leading developer of mobile manipulation systems, is seeking a Senior Software Engineer-Computer Vision (SWE/CV) specializing in autonomous and vision-aided robotic systems.  The SWE/CV will utilize their skills to develop fully autonomous mobile manipulation systems that perform a variety of complex tasks in unstructured outdoor and underwater environments.\nJob Summary\nThe SWE/CV will lead the development of solutions in the areas of autonomous and vision-aided robotic systems.  The SWE/CV role is critical to the development and application of new techniques for novel problems focused on controlling robotic manipulators.\nThe SWE/CV will develop computer vision algorithms for real-time object detection/ classification, etc., and will be responsible for taking the lead on assigned tasks that will include both improving existing algorithms to a real-time embedded system, prototyping on robotic systems, testing, and productization activities.\nThe SWE/CV will report to the software engineering department manager and work closely with mechanical, electrical, and software engineering teams to advance systems from R&D to product.  We are seeking a candidate with excellent communication skills, who thrives in a fast-paced start-up environment and is passionate about developing robotic technologies. The SWE/CV will leverage proven experience in software configuration management systems and commercial software development to push our next generation of autonomous and tele-operated robotics systems into the hands of users.\nThe ideal candidate must possess the following skills and experience: \n* M.S. or B.S. in Computer Science, Electrical Engineering, Robotics, or related field\n* Minimum of 7 years of industry work experience in computer vision, artificial intelligence, automation, and/or vision processing\n* Proficiency in at least one of the following languages: C, C++, or Python.\n* Proficiency in the use of multiple operating systems, especially Windows and Linux.\n* U.S. Citizenship or permanent residency to comply with government contract requirements\n\n\nWho We Are\nRE2 Robotics is a values-driven company that continuously strives to be great place to work. We invest in our team members through ongoing employee development and technical training. We foster an environment where all employees are empowered, trusted, and respected. And we recognize employee contributions on a regular basis. If you have a positive "can-do" attitude, enjoy working in a fast-paced tech environment, and value ownership in a growing company, then RE2 may be a good fit for you.\nBenefits and Perks\nRE2 offers competitive salaries and a comprehensive benefits package including maternity/paternity leave, flexible schedules, half-day Fridays, stock options, 401k plan, training, and professional development stipends, paid time off, and medical/dental/vision/life and disability insurance for all regular full-time employees.\nRE2 also offers our monthly lunches, free snacks, coffee, and espresso, holiday and summer parties, birthday bonuses, cell phone stipend, and more!\nRE2 is an Equal Opportunity / Affirmative Action employer. We believe there is great value in having a diverse workforce and we take pride in being an inclusive and accepting work environment for all people.\nRESUMES ACCEPTED IN PDF FORMAT ONLY.\n\n#Location\n🌏 Likely worldwide


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# How do you apply?\n\nThis job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

ZeroEyes


closed
🌏 Likely worldwide

engineer

This job post is closed and the position is probably filled. Please do not apply.
\nZeroEyes 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.\n\nWe 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!\n\nIf you are missing some of the skills but believe you are the right candidate, tell us why.\n\nIn this position you will be:\n\n\n* Developing Gstreamer pipelines written in C to connect to and stream real-time video\n\n* Working with state of the art deep learning frameworks to deploy object detection models for inference\n\n* Testing and optimizing GStreamer pipelines to maximize hardware performance\n\n* Build, automate and customize deep learning training and inference environments\n\n\n\n\n\nYou must have:\n\n\n* Relentless work ethic and positive outlook \n\n* C, C++, experience working with RTSP / IP camera streams\n\n\n\n\nAdditional preferred experience:\n\n\n* GStreamer, OpenCV, Deepstream SDK, TensorRT, Nvidia Docker, Kubernetes, Helm Charts, Ubuntu, Agile/Jira, Github\n\n\n\n\n#Location\n🌏 Likely worldwide


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Sticker Mule


closed
🌏 Likely worldwide

engineer

This job post is closed and the position is probably filled. Please do not apply.
\nWe created Sticker Mule to be the best place to work and shop. That means making ordering fast, simple and fun while creating a stable, low stress and enjoyable place for talented people to work.\n\nWe're searching for more to join us as we look to build one of the Internet's best technical teams.\n\nWatch a brief video to learn more\n\nWhy we enjoy working here \n\n* We work flexible hours with an asynchronous culture\n\n* We work at a sustainable pace without unreasonable external deadlines.\n\n* Varied, interesting technical challenges to work on\n\n* Opportunities to make a large impact as part of a small, highly motivated team.\n\n\n\nWhat you will do\n\n* Design, build and test new artwork processing tools that will both deliver value to our customers and help streamline our proofing and production processes.\n\n* Be responsible for the software architecture and technology choices for these new tools.\n\n* Ensure their timely delivery, quality and performance.\n\n* Combine both computer vision and conventional image processing techniques to ensure the high quality output our customers expect.\n\n* Share expertise with other members of the team.\n\n\n\nAbout you\n\n* You have a BSc in Computer Science, Mathematics or equivalent working experience and ideally a Master’s degree or PhD in Computer Vision/Machine Learning or similar.\n\n* You have at least 2 years of experience in researching and implementing computer vision and image processing systems using OpenCV or similar.\n\n* You are experienced in training Convolutional neural networks for tasks such as image classification and object detection.\n\n* You have a strong background in parallel programming and high performance image processing algorithm design.\n\n* You are experienced in one or more of the following: C++, Python or Golang.\n\n\n\nCompensation\n\n* Depends on experience\n\n* Signing bonus\n\n* 28 days vacation \n\n\n\n#Location\n🌏 Likely worldwide


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Mav Farm


closed
🌏 Likely worldwide

engineer

This job post is closed and the position is probably filled. Please do not apply.
\nMav Farm is seeking a world-class computer vision expert to join our team in developing next generation products and platforms doing research and engineering at scale. We're applying cutting-edge computer vision algorithms to a wide range of media understanding challenges at Mav Farm.\n\nResponsibilities: \n\n\n* Develop novel and accurate computer vision algorithms and systems, leveraging deep learning and machine learning on big data resources.\n\n* Analyze and improve efficiency, scalability, and stability of various deployed systems.\n\n* Collaborate with team members from the level of prototyping to the level of production.\n\n\n\n\nMinimum Qualifications: \n\n\n* 5+ years of experience in building, leading and specializing in large-scale commercial computer vision projects from the level of researching a prototype to the level of production.\n\n* C/C++ rapid programming on Linux OS.\n\n* Experienced with training deep neural networks, prototyping in scripting languages like MATLAB, python, math performance libs (e.g. IPP, MKL), CPU optimization methods (e.g. assembly SIMD instructions)\n\n* Published projects in the fields of machine learning, deep learning and/or computer vision.\n\n\n\n\n#Location\n🌏 Likely worldwide


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Osprey Informatics


closed
🌏 Likely worldwide

machine learning

 

dev

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe are looking for an experienced Machine Learning / Computer Vision Developer to lead the development of our data analysis tooling. You will build, evaluate, and deploy computer vision and machine learning algorithms including object classification, object tracking, object detection, background subtraction and event recognition. You will have the support and collaboration of the rest of the team, however we are looking for this role to lead and direct the future our data analysis tooling. We'd prefer someone on-site however we are open to the right hire provided that at least half of their workday overlaps with 9am to 5pm Mountain Time Zone.\n\n#Location\n🌏 Likely worldwide


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Osprey Informatics


closed
🌏 Likely worldwide

dev

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe are looking for an experienced Computer Vision Developer to lead the development of our data analysis tooling. You will build, evaluate, and deploy computer vision and machine learning algorithms including object classification, object tracking, object detection, background subtraction and event recognition. You will have the support and collaboration of the rest of the team, however we are looking for this role to lead and direct the future our data analysis tooling. We'd prefer someone on-site however we are open to the right hire provided that at least half of their workday overlaps with 9am to 5pm Mountain Time Zone.\n\n#Location\n🌏 Likely worldwide


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BROWZZIN Pte.


closed
🌏 Likely worldwide

engineer

This job post is closed and the position is probably filled. Please do not apply.
\nWe're an early stage start-up with the ambition to revolutionise retail and drive the convergence of offline and online retail with an influencer-driven shopping platform. The founder has experience and contacts in the retail sector and was the CEO and founder of an ecommerce company that was sold for 700 million EUR in 2015. \n\nWe're looking for someone who can work with the current engineering team and build a system which we can grow to millions of users worldwide. Your task would be to focus on one critical part of the overall system, which requires deep knowledge in computer vision and machine learning algorithms. \n\nWhat we're offering you:\n\n1. Autonomy and creative freedom – Help shape how the front-end code and a high-performance content management platform work, including libraries and custom features\n\n2. Flexible Environment – We still don't work out of one “real” office yet, so you can help shape our culture and workflow.\n\n3. Urban life or tropical Island – we will have an office in London and already have one in Singapore. We will help you relocate, but in the meantime, you can work from home.\n\nYour responsibilities:\n\nYou'll be responsible for designing and developing computer vision and machine learning systems that match “inspirational” images against product images in our catalog. (Think matching photos of 2 different models in 2 different scenes based on an article of clothing that they’re wearing.) You’ll then work with our lead engineer to deploy your systems against hundreds of millions of images.\n\nWe’re aware that such a system is at the edge of the state of the art in computer vision and machine learning. As we’re pushing these limits, you’ll need to manage the machine-human supervision process in order to maintain accuracy. We will provide you with the human labour that you need and you’ll train and supervise them as necessary.\n\n#Location\n🌏 Likely worldwide


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# How do you apply?\n\nThis job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Density


closed
🌏 Likely worldwide

engineer

This job post is closed and the position is probably filled. Please do not apply.
\nPeople count through a door might sound simple. Solved, even. In reality, there are significant and unexpected challenges. Our sensor’s analysis must account for millions of environmental variates; handle odd and unpredictable human behavior; and, to be ubiquitous, must amass its data anonymously. The problem of people count is unsolved and complex; but we’re convinced it’s fundamental, fascinating, and global. At the core of our method is an image processing algorithm. It understands the direction of objects as they collide and move through a threshold, it’s capable of discerning a door swing from a plant, and it knows when a line has formed. We’re looking for an experienced computer vision engineer to help us turn large amounts of data into real-time, always-on people count. Ideally, you have a deep interest in computer vision, especially in segmentation and tracking, and experience architecting vision-based products. If you get excited about predictive movement analysis, background segmentation, and optimizing code to run on an embedded device, we’d love to talk.\n\n#Location\n🌏 Likely worldwide


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# How do you apply?\n\nThis job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Computer Vision Venture


closed
🌏 Likely worldwide

admin

 

engineer

 

sys admin

This job post is closed and the position is probably filled. Please do not apply.
\nDextro's video system is incredibly compute-intensive - especially when processing live video. This necessitates a intricate collection of low-latency machine learning services on the backend. As our first dedicated Systems Engineer, you will take us from great code to great systems. Systems that are scalable, fully automated, and, most importantly, reliable. You will be the main architecture, but you will have the full support of our dev team behind you.\n\nYou will hold a senior position (3-6 years of prior engineering experience) on our small but rapidly-growing backend team. You will have complete oversight of our compute systems. From scaling our systems to prepare for a new product launch, to sharing feedback that you learn while diagnosing bugs, you will own the management of Dextro’s systems. You will maintain system uptime and alter architecture to improve our stability. In the process, your work will form the base of successful customer relations. If you are currently an SRE working in a small ecosystem, but looking for more impact and ownership, this is absolutely a position for you!\n\nOur backend is built in Python, CUDA, and C++; we make use of all relevant services in the AWS ecosystem.\n\nResponsibilities\n\n\n* Scale systems to handle thousands - yes, really thousands! - of hours of video at once \n\n* Build testing and deployment environments \n\n* Identify bugs and incorporate performance feedback into systems \n\n* Research and select tools to best power our systems\n\n\n\n\n#Location\n🌏 Likely worldwide


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# How do you apply?\n\nThis job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Sightcorp


closed
🌏 Likely worldwide

full stack

 

front end

 

web dev

 

dev

This job post is closed and the position is probably filled. Please do not apply.
\nSightcorp is looking for an experienced, full stack and front-end web developer to join the team and take the leadership position for the development of its current and future web services.\n\nSightcorp develops advanced face reading technologies which are revolutionizing the way people perceive and interact with computers and mobile devices. The candidate should become product owner and further develop our web solutions:  F.A.C.E. API (Face Analysis Cloud Engine, face.sightcorp.com) and CrowdStat audience analytics platform.\n\nThe position is open for EU citizens only, preferably already living in the Amsterdam area, The Netherlands. NO AGENCIES\n\n#Location\n🌏 Likely worldwide


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# How do you apply?\n\nThis job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Essess


closed
🌏 Likely worldwide

admin

This job post is closed and the position is probably filled. Please do not apply.
\nEssess (www.essess.com) is seeking a motivated Computer Vision and 3D Data Engineer to be key part of our fast-paced product development team to help create cutting-edge energy loss detection and diagnostics products for home and building properties. The Computer Vision Engineer will build systems capable of identifying buildings and building components from large data sets of high-resolution and high-throughput 2D imaging and 3D point cloud data utilizing segmentation and machine learning techniques.\n\nThe ideal candidate will have experience or expertise in 2D image processing and computer vision, 3D point cloud data, machine learning, and will bring an analytical approach to solving complex real-world problems.\n\nYou will:\n- Design and implement computer vision systems to characterize and classify building energy issues using thermal, night-vision and LIDAR data\n- Characterize algorithm performance with real-world data gathered from field trials\n- Support production deployment of computer vision algorithms over city-scale data sets\n- Take ownership for whole components of product development\n- Work with a small team in a fast-paced environment focused on the development and productization of algorithms for real-world applications\n\n#Location\n🌏 Likely worldwide


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# How do you apply?\n\nThis job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
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