Lead Computer Vision Research Engineer

New York
US$150000 - US$200000 per year + Equity, Bonus, 100% Healthcare Paid

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Lead Computer Vision Research Engineer

NYC
$200,000 + Equity, Bonus, 100% healthcare coverage

Harnham have been retained by a rapidly growing AI start up f over 50 staff and over $50million in funding. Having received funding form both the private and p8blic sectors, over 100 patents and a team of onsite patent lawyers, this company is widely regarded as one of the worlds leading AI businesses. They are looking for lead computer vision engineers to join an established team and work with the VP of research in a wide range of projects.

The Role

  • Building detection algorithms to identify abnormalities in medical data
  • Building deep learning algorithms to assist doctors with visual diagnosis
  • Building a tracking algorithm to monitor patient prescriptions and doses
  • Building AR/VR platforms for interactive, remote patient care
  • Conducting leading research into deep learning and computer vision
  • Reporting directly into the VP of research
  • Working as part of an established computer vision team, and coordinating with patent lawyers to add to the extensive patent portfolio the company has

Experience Required

  • 3+ years in real world industry building computer vision algorithms in C++
  • Experience in researching deep learning, and working with tools such as TesorFlow, Caffe and PyTorch
  • A combination of hands on software engendering with research
  • PhD/Master's Degree - Computer Science or related
  • Must be US citizen or Greencard holder
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SB-CV4
New York
US$150000 - US$200000 per year + Equity, Bonus, 100% Healthcare Paid

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The Advantages And Disadvantages Of Computer Vision

The Advantages And Disadvantages Of Computer Vision

“Don’t judge a book by its cover”. We use this adage to remind ourselves to go deeper and to look beyond the superficial exterior. Except, sometimes, we can’t, or won’t. Sometimes, our perceptions are pre-programmed. Think family, peer pressure, and social influences. But what about computers? What do they see? In a digital landscape that demands privacy but needs information, what are the advantages and disadvantages of Computer Vision? The Good: Digital Superpowers  Let’s be clear, Computer Vision is not the same as image recognition, though they are often used interchangeably. Computer Vision is more than looking at pictures, it is closer to a superpower. It can see in the dark, through walls, and over long distances and, in a matter of moments, rifle through massive volumes of information and report back its findings. So, what does this mean? First and foremost, it means Computer Vision can support us in our daily activities and business. It may not seem like it at first glance, but much of what the computer sees is to our advantage. Let’s take a deeper look into the ways we use Computer Vision today. Big Data: From backup cameras on cars to traffic patterns, weather reports to shopping behaviours and everything in between. Everything we do, professional to personal, is being watched, recorded, and used for warning, learning, saving, spending, and social. Geo-Location: Want to know how to get from Point A to Point B? This is where Geo-location comes in. In order to navigate, the satellite must first pinpoint where we are and along the way, it can point out restaurants, shops, and services to ease us on our way.Medical Imaging: X-rays, ultrasounds, catheterisations, MRIs, CAT Scans, even LASIK are already in use. Add telemedicine and the possibilities are endless. The application of these functions will allow faster and more accurate diagnoses and help save lives.Sensors: Motion sensors that only turns a light on when a heat signature is nearby are already saving your home or business money on your electric bill. Now, during a shop visit when you are eyeing an intriguing product, your phone may buzz with a coupon for that very item. Computer Vision sensors are now tracking shopper movements to help optimize your shopping experience.Thermal Imaging: Heat signatures already help humans detect heat or gas and avoid dangerous areas, but soon this function will be integrated into every smart phone. Thermal imaging is no longer used just to catch dangerous environments, it’s used in sport. From determining drug use to statistics and strategy, this is yet another example . The Bad: Privacy Will Forever Change  Google is 20 years old this year. Facebook is 15. Between these two media tech giants, technological advances have ratcheted steadily toward the Catch-22 of both helping our daily lives, whilst exposing our data to our employers, governments, and advertisers. Computer Vision will allow them to see you and what you’re doing in photos and may make decisions based on something you did in your school or university days. We’re already pre-wired to make snap judgements and judge books by their cover, but what will these advancements do to our daily lives? Privacy will change forever.  We document our lives daily with little regard to the privacy settings on our favourite social media apps. GDPR has been a good start, but it’s deigned to protect businesses and create trust from consumers, rather than truly offer privacy. So far, the impact on our privacy has been limited as it still takes such a long time to sift through the amount of data available. However, the time is coming soon, where we’ll need to perhaps think of a privacy regulation businesses, employers, and governments must follow to protect the general population. Fahrenheit 451, 1984, and Animal Farm were once cautionary tales of a far-off future. But Big Brother is already watching and has been for quite some time. Police monitor YouTube videos. Mayors cite tweets to justify their actions. And we, thumb through our phones tagging friends and family without discretion.  Like every new technological advancement there are advantages and disadvantages. As Computer Vision becomes increasingly prevalent, we’ll all need to be aware of the kind of data we supply from to text to image. We can’t go back to the way things were, but we can learn about ourselves through the computer’s lens. And when it comes to computers and their capabilities, don’t judge a book its cover. If you’re interested in Data & Analytics, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants for more information. 

Harnham Named one of the Sunday Times' Top 100 Companies to Work For

Harnham Named one of the Sunday Times' Top 100 Companies to Work For

I am thrilled to announce that we've been named one of The Sunday Times' Top 100 Small Companies to Work For 2019.   This is the first year we've been eligible for the award and, fantastically, we've managed to place 26th.   Coming off the back of our three-star accreditation from Best Companies for 'Extraordinary Levels' of workplace engagement, and being named APSCo's Recruitment Company of the Year (£10m-£50m) this is something else for the whole business to be proud of.  Crucially, for both myself and the leadership team, is the fact that this accolade is based entirely on employee feedback. Our success has always been built on the success of our employees and we have always tried to nurture an environment where they can flourish. To be recognised for our efforts. and to know that our staff are happy here, means a tremendous amount to us. And, as ever, we're looking to grow our team. If you're determined, ambitious and driven, get in touch about our latest opportunities. 

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