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Facial Recognition Jobs

What We Do

From Defense and Finance to Cosmetics and Beauty, we help the best Facial Recognition talent find rewarding careers.

With facial recognition now commonplace, from our smart phones to our favourite gigs, there is a huge demand for those who can create the identification algorithms behind the technology. If you can work with programmes from Python to Caffe, there are numerous opportunities available to you. 

From building landmark detection algorithms to creating virtual make up try ons using augmented reality, we understand the importance of Facial Recognition, and how to find the best talent around. 

How We Do it

Our specialist Facial Recognition team’s unique understanding ensures exceptional service throughout the entirety of your job search or staffing process.

We have the knowledge, the network and the required drive to find the best candidates on the market, as well as working with some of the most exciting Computer Vision businesses around.

If you’re hoping to change careers or are looking for the right talent to fill an opening, Harnham can help. 

Latest Jobs

Chief Computer Vision Engineer
Salary

US$140000 - US$160000 per annum

Location

New York

Description

Are you an experienced C++ engineer looking for the chance to work in a company that is disrupting the computer vision market globally?

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Director Computer Vision
Salary

US$190000 - US$210000 per annum

Location

New York

Description

This company invest huge amounts of money into using the latest technologies, methodologies and innovate their approach to the Computer Vision space.

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Lead Computer Vision Engineer--C++
Salary

US$140000 - US$160000 per annum

Location

New York

Description

Harnham are partnered with an innovative startup with founders who are thought leaders in this space with connections in AI and Computer Vision globally.

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Lead Computer Vision Engineer
Salary

US$80000 - US$95000 per annum

Location

Rochester Hills, Michigan

Description

Are you a computer vision engineer looking for the chance to work in a fast paced commercially focused environment?

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Director Computer Vision
Salary

US$160000 - US$180000 per annum

Location

Ann Arbor, Michigan

Description

If you have taken on leadership experience in the past and love helping others grow, this is your next role!

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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.

How Computer Vision Engineers Develop the Eyes of AI

Facial Recognition software. Autonomous vehicles. Drone delivery. Robotics in manufacturing. 3D Printing. No longer the stuff of science fiction, these advancements are at the heart of the next evolution in the digital age. Developments are not just being made in the tech hubs of Silicon Valley, Austin, or New York, but in the mid-West. Ann Arbor, Michigan home to the University of Michigan and not too far from where Henry Ford first introduced mass production with the help of automation has been advancing robotic technologies across a variety of fields.  Giving machines their own set of eyes does require someone to ensure they have the right information to do their jobs. Enter the Computer Vision Engineer. It’s estimated this field will see a rise of 19% demand through 2026. It’s also a relatively small field with only 5,400 new job openings. So, like many professions, demand is high yet a shortage remains of those Data professionals with the right skillsets. The Business of a Computer Vision Engineer While there are a variety of roles within the field of Computer Vision, the role of Computer Vision engineer focuses on two areas. Those areas are: Writing code in Python/C++ Integrate Data Visualization, image analysis, and imaging simulation controls In addition to these areas, these scientists focus on research, implementation, reaching across teams both human and machine to help solve real world problems. And as important as knowledge and application theory are, it’s the hands-on experience which raises the bar for most employers and client companies.  Using image recognition, machine learning, and segmentation can help machines learn to differentiate various images. Being able to “see” what the computer may see and correcting it to ensure it’s more like human vision takes a special skillset. This can include: Computer Vision librariesDatabase managementComponent or object-oriented softwareAnalytical, logical, and critical thinkingClear reasoning It’s these skillsets along with a background in mathematics and computer languages like C++ which pave the Computer Vision engineer career path.  The Future of Computer Vision  The days of the generalist are long behind us. Now, more than ever, technologies like machine vision require a dedicated focus. With every field from healthcare to law enforcement to manufacturing utilizing these technologies, the future of Computer Vision performs a broader range of functions.   In Ann Arbor, at the University of Michigan and in partnership with Ford Motor Company, advancements race through every field not the least of which is manufacturing. As they transition toward full automation using the Internet of Things and more autonomous processes, it’s even more important to ensure Computer Vision models understand what they’re “seeing.” Computer Vision engineers will help to advance technologies which make machines easier to train and more easily figure out images better than they do now. Used in conjunction with other technologies like neural networks and other subsets of AI, machines will be able to see and interpret in the same way humans see and interpret.  And as far as we’ve come, there remains more applications and benefits not yet explored. The possibilities are endless. Current and future advancements will pave the way for AI to be as human as we are bringing our once science fiction ideas to life.  One Final Thought… Though Computer Vision engineering can be drilled down to even more focused professions, the term itself is broad. But the specializations are basic with a demand for not only highly skilled professionals with the right educational background, but also hands-on experience. This detail is more important now than ever before, especially for Computer Vision teams seeking leadership roles who can take their applications to the next level and on a global scale.  Some of the basic specializaitons include, but are not limited to: Camera imaging geometryFeature detection and matchingImage classification and scene analysis In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re ready to take the next step in your career, we may be able to help. Take a look at our current vacancies or get in touch with 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.  

Jenni Kavanagh

Jenni Kavanagh

19. March 2020

How Computer Vision Is Changing Healthcare

It may seem like every new decade we have a new technology to master. But what if we’ve flipped the script? Now AI has a new technology to master. I'm talking about Computer Vision. Just like humans learn to identify shapes into objects as children, so too, must the technologies we’ve created.  Why? Because autonomous vehicles need to know the difference between a tree and a person holding their grocery bags. Because manufacturing bots need to identify defective products before they go to the public. And in healthcare, Computer Vision can help us identify disease, help doctors make diagnoses, and dig deeper into what makes humans human. Three Trends to Watch  Already, systems have a 99% accuracy rate at emulating human sight. Like our own calculations when we “see” an object, machines will have to process, analyze, and understand the image as well. Thanks to Machine Learning and Neural Networks using pattern recognition, this is possible. What could this mean for the healthcare industry? Imaging Devices like X-Rays and MRI Machines will get smaller and more mobile. This trend will allow simpler imaging, quicker workflows, and live imaging for quicker diagnoses.Next Generation Phenotyping (NGP) allows predictive diagnoses using Computer Vision and Deep Learning to analyze data at the molecular level. Telemedicine to open greater access to your doctor rather than the traditional brick-and-mortar doctor’s office visit. Electronic Health Records (EHR) for a patient profile gives direct access to patient information and could reduce the cost of logistics and gaps in expertise. And Remote Patient Monitoring (RPM) allows for real-time medical decisions to flow between patient-doctor without the ubiquitous red tape traditional medicine brings. Recent advancements in visual technologies will have a strong impact in a variety of industries. But it’s in the healthcare industry, Computer Vision, AI, and IoT will particularly shine as the technologies converge for greater progress in healthcare.  AIoT and Image-Based Data Converge for Improved Outcomes  There are such a variety of uses for Computer Vision in medicine, it can be hard to imagine where it can't be used. When you consider how much medical data is image-based such as mammograms, MRIs, CT Scans, X-Rays, and Echocardiograms, it’s easy to see how patients will benefit.  Imagine getting an early diagnosis to stop the spread of cancer or stopping dementia in its tracks. These systems alone can assist with surgery, identify problems early, and more. When your medical team of institutions, providers, and patients have access to these systems and truly partner, then this becomes the future of healthcare.    Add to improvements in computer vision, the rapidly advancing technologies of AI, and IoT and watch how quickly problem-solving scenario outcomes improve across all industries. Much like the last convergence of mobile phones and the internet, AIoT will usher in a new era of human history in similar fashion. Risk and Reward of AIoT, ML, and Computer Vision With greater advancement, comes greater risk and reward. As sensors and connectivity multiply across devices and industries, renewed focus should include privacy and security. Such large volumes of Data, even within the healthcare industry, can be targets for hackers as well as government entities. It may seem strange to consider this in the light of the healthcare vertical, but imagine the repercussions of denials due to medical issues or the inverse of identity theft.  The convergence of AIoT and Computer Vision technologies use complex algorithms for predictive analytics. Add Machine Learning into the mix and watch workflows streamline, simplified problem-solving unfold, and improved reliability and sustainability of data capture and how it can enhance an organization’s processes.  In the cumbersome world of healthcare and its institutions, Computer Vision, AI, IoT, and Machine Learning offer a simpatico balance between patient and provider that flips traditional healthcare upside down. Advancements within the last few years and in the coming decade are primed to bridge the gap between patient and provider. But it’s going to need Data professionals who have a passion for the industry and can guide these technologies to the next stages in their development. The Computer Vision industry is supercharged and is expected to reach $48.6 billion by 2022. Ready to see where the latest technologies can take you? If you’re interested in Computer Vision, Big Data, and Analytics, Robotics, and more, we may have a role for you.  Check out our current vacancies or get in touch with one of our expert consultants to learn more.  For our West Coast Team, call (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.  

Mairead Holt

Mairead Holt

27. February 2020

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