Computer Vision Jobs in New York

What We Do

We help the best New York talent in the Computer Vision market find rewarding careers.

“Computer Vision” jobs help companies make sense of their visual data.  Acquiring, analysing and understanding visual data has become a rich source of information for both established and emerging industries in the data and analytics space. 

Our minds filter images every day and with the advancements in IoT, it was only a matter of time before every industry from healthcare to fraud prevention, sports and media, and even data for driverless cars entered the Computer Vision space. 

For the latest jobs based in New York in the Computer Vision space please see the jobs below!

Latest Jobs

Salary

US$140000 - US$160000 per annum

Location

New York

Description

This fast growing company is looking for a Deep Learning expert

Salary

US$140000 - US$160000 per annum

Location

New York

Description

This fast growing company is looking for a Deep Learning/Computer Vision expert that has experience with deploying deep learning models

Salary

US$140000 - US$160000 per annum

Location

New York

Description

This fast growing company is looking for a Deep Learning/Computer Vision expert that has experience with deploying deep learning models

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Robot Companions in Senior Care Combine Computer Vision and AI

It’s 2021. Autonomous cars are no longer on the horizon. They’re here and being tested. Most businesses have shifted to a fully remote workforce or offer a hybrid option. And social activities have been redefined.  As social creatures, we humans crave attention. But does it matter from whom the attention comes?  Social distancing is a gold standard these days to keep the pandemic at bay as best we can. But what happens when the pandemic solutions affect one of the fastest growing demographics in the US?  Many active seniors have embraced the online – FaceTime and Zoom calls with friends and family, online classes for new experiences, and interactive activities to keep minds sharp. For those seniors in eldercare and assisted living, interactive has gotten a shape. Enter the robot. With Deep Learning, Computer Vision is able to enhance what a robot may see or what we see when we look into a robot’s LED face. We’ve worked hard to emulate the human experience in a machine, and have begun putting together instead a machine with human-like experience.  Unsurprisingly, robotics have become part of a variety of industries from manufacturing to construction to…eldercare? Socially Adept Robotic Companions in Senior Living Scenarios Since Jane Jetson ordered Rosey from U-Maid, we’ve wondered and worried about the roles robots might play in our lives. As we remain socially distanced and families and friends make contact through videoconferencing to those in assisted and senior living facilities, we’ve uncovered a new shortage of skilled workers. This time it’s those in the healthcare industries. Particularly those who care for the elderly. There is an ever-widening gap between healthcare workers and those who need them. In less than 10 years, there will be a shortfall of over 150,000 care workers in the US. In twenty years, that shortfall is expected to double. Recently, Robotic Researchers, Roboticists, and Data Scientists have been putting together plans for a robot much like Rosey, the maid was to Jane Jetson. Though expecting residents to only need or want help in things like delivery or picking up and delivering items, it revealed instead a desire for social interaction.  A prototype robot offers assistance from delivery to picking up items to karaoke and bingo activities. Add in a video-conferencing screen for interacting not only with friends and family members who are unable to visit, but also telehealth services with their doctor, or interacting with staff members who may not be nearby. Ways We’re Using Robots to Heal When we teach Artificial Intelligent beings and incorporate Machine Learning into our robots, we’re creating opportunities to heal. Already in use in healthcare from exoskeletons to assist stroke victims to Augmented Reality surgical practice, and real-life robotic assists in surgery, we’re able to help individuals heal physically. For many, the social isolation in eldercare homes can lead to depression and loneliness. But when someone, or rather, some thing is able to interact with them, some find a unique companion. For individuals who have difficulty connecting with people or those suffering dementia, it can be frustrating to not be able to communicate. But the role of robot in our lives just may bring a smile, a story, or a comfort. But robots aren’t just human-size companions. Some robotic companions are in the shape of pets. For those suffering from dementia, a robotic pet offers companionship and a less stressful alternative to live pets. There’s no need to worry about feeding Fido or Fluffy. These robotic pets love to be petted, but they don’t bark or meow, they don’t need to be let out, and bring to their caregivers a sense of purpose.  If you’re interested in the Data Sciences, Computer Vision, Machine Learning, or Robotics just to name a few, Harnham may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

Why You Should Always Be Learning In Data Science: Tips From Kevin Tran

Last month we sat down with Kevin Tran, a Senior Data Scientist at Stanford University, to chat about Data Science trends, improvements in the industry, and his top tips for success in the market.  As one of LinkedIn’s Top Voices of 2019 within Data & Analytics. his thoughts on the industry regularly garner hundreds of responses, with debates and discussions bubbling up in the comments from colleagues eager to offer their input.  This online reputation has allowed him to make a name for himself, building out his own little corner of the internet with his expertise. But for Tran, it’s never been about popularity. “It’s not about the numbers,” he says without hesitation. “I don’t care about posting things just to see the number of likes go up.” His goal is always connection, to speak with others and learn from them while teaching from his own background. He’s got plenty of stories from his own experiences. For him, sharing is a powerful way to lead others down a path he himself is still discovering.  When asked about the most important lesson he’s learned in the industry, he says it all boils down to staying open to new ideas.  “You have to continue to learn, and you have to learn how to learn. If you stop learning, you’ll become obsolete pretty soon, particularly in Data Science. These technologies are evolving every day. Syntax changes, model frameworks change, and you have to constantly keep yourself updated.”  He believes that one of the best ways to do that is through open discussion. His process is to share in order to help others. When he has a realisation, he wants to set it in front of others to pass along what he’s learned; he wants to see how others react to the same problem, if they agree or see a different angle. It’s vital to consider what you needed to know at that stage. Additionally, this exchange of ideas allows Tran to learn from how others tackle the same problems, as well as get a glimpse into other challenges he may have not yet encountered.  “When I mentor people, I’m still learning, myself,” Tran confesses. “There’s so much out there to learn, you can’t know it all. Data Science is so broad." At the end of the day, it all comes down to helping each other and bringing humanity back to the forefront. In fact, this was his biggest advice for both how to improve the industry and how to succeed in it. It’s a point he comes back to with some regularity in his writing. “It doesn’t matter how smart you are, stay humble and respect everyone,” one post reads. “Everyone can teach you something you don’t know.” Treating people well, understanding their needs, and consciously working to see them as people instead of numbers or titles—this, Tran argues, is how you succeed in the business. To learn and grow, you must work with people, especially people with different skills and mindsets. Navigating your career is not all technical, even in the world of Data. “The thing that cannot be automated is having a heart,” he tells me sagely. Beyond this, Tran stresses the need for a solid foundation. The one thing you can’t afford to do is take shortcuts. You have to learn the practicalities and how to apply them, but to be strong in theory as well.  Understanding what is happening underneath the code will keep you moving forward. He compares knowing the tools to learning math with a calculator. “If you take the calculator away, you still need to be able to do the work. You need the underlying skills too, so that when you’re in a situation without the calculator, you can still provide solutions.” By constantly striving to collaborate and improve, Tran believes the Data industry has the best chance of innovating successfully.  If you’re looking for a new challenge in an innovative and collaborative environment, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

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