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Latest Jobs

Lead Computer Vision Engineer
Salary

US$220000 - US$240000 per annum

Location

New York

Description

An autonomous robotics start-up is looking to add a Lead Computer Vision engineer to develop traditional computer vision algorithms in the retail space.

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Deep Learning Engineer - Medical Imaging
Salary

US$160000 - US$180000 per annum

Location

New York

Description

This company is changing people's lives with AI

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Perception Engineer
Salary

US$115000 - US$125000 per annum

Location

Pittsburgh, Pennsylvania

Description

This growing start up is leading the way for autonomous ground robots

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Advanced Analytics Manager
Salary

US$110000 - US$120000 per annum

Location

Boston, Massachusetts

Description

Do you have strong technical skills in Python, SQL, and Tableau? Have you led analytics teams at eCommerce, internet, and/or SaaS companies?

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Senior Computer Vision Engineer
Salary

US$180000 - US$200000 per annum

Location

New York

Description

An autonomous robotics start-up is looking to add a Senior Computer Vision engineer to develop traditional computer vision algorithms in the retail space.

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Senior Machine Learning Scientist
Salary

US$170000 - US$190000 per annum

Location

New York

Description

An emerging telehealth company is looking to improve the physical and mental health of their customers from the comfort of their homes.

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Lead AI Engineer
Salary

US$155000 - US$175000 per annum

Location

Washington, District of Columbia

Description

Do you want to work on developing autonomous systems for the government?

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Lead Computer Vision Engineer
Salary

US$150000 - US$170000 per annum

Location

Washington, District of Columbia

Description

This well-known company is growing its AI department in the DC area!

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Principal Data Engineer
Salary

US$180000 - US$200000 per annum

Location

New York

Description

I'm Looking for a Principal Data Engineer to lead design decisions, choose data technologies, implement large and complex features on the data platform.

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Lead Robotics Engineer
Salary

US$145000 - US$160000 per annum

Location

Boston, Massachusetts

Description

This Boston based defense company has been partnering with the government for several decades and are developing advanced autonomous systems

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Senior Data Scientist
Salary

US$185000 - US$195000 per annum + Bonus

Location

San Francisco, California

Description

A rapidly growing team is looking to add an exceptional Senior Data Scientist to their ranks!

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Data Science Manager
Salary

US$200000 - US$225000 per annum

Location

San Francisco, California

Description

A well-established bay area company is looking to add an experienced manager to their ranks.

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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.

Mental Health Apps Help Patients Make the Move into Therapy

May is Mental Health Awareness Month. As we continue to untangle ourselves from the cabin-fever isolation of the winter months post-pandemic, many are feeling overwhelmed and mentally burdened. It’s a lot to manage – remote working, virtual schooling, mask mandates, vaccine appointments, and the day-to-day screen time and Zoom meetings. It’s no wonder people are turning, once more to the virtual space for help.  From mindfulness and meditation apps and videos to physician-focused telehealth assistance in the health space, there is digital technology at play. While it may seem as if apps keep people from going to the source and seeking professional help in the mental health space, having an app is helping people make the decision to sit down one on one with someone.  Mind the App: A Note on Market Trends There is a proliferation of mindfulness meditation apps available on Google Play, iOS systems, and on YouTube, just to name a few. In fact, the market is set to grow exponentially over the next five to ten years. And technology companies have been paying attention. Key trends include: Design simplicity and collaboration with subject matter expertsEngagements both personal and professional which lower energy levels leading to disturbed sleep. While millennials search for a more whole (read: work/life) balanced life, it’s reported Generation Z is likely to have the worst mental health issues and desire to seek alternative therapy options.Apps-focused issues include insomnia, anxiety, depression, mindfulness, and whole being self-care.More and more Americans understand mindfulness and meditation are the best resources to help unwind and lessen stressors. Not all apps are created equal, but Headspace and Calm are two of the top contenders and most widely used. Those higher-level products backed by teams to ensure everything runs smoothly are outpacing the proliferation of self-help apps which number upwards of 20,000. Digital Technology and Machine Learning are Moving Things Forward From AI to Digital Technology to Machine Learning, Data professionals are working to ensure mental health apps are not a flash in the pan. Especially for those who may need help the most such as high utilizers. These high utilizers are those who may have multiple issues and check themselves into hospitals most frequently. Just like people worried about robots taking jobs, some therapists may worry these apps could replace in-person therapy treatments. This is unlikely as it may embolden those who need help to seek treatment in the more traditional sense. In fact, some apps could enhance therapy work rather than detract from it. Machine learning tools helped researchers analyze nearly 10,000 patients’ EHR Data over a 2-year period. The algorithm analyzed all the factors at once for a much more efficient breakdown and determination of each factor to best identify patient characteristics. Understanding this information helped researchers determine which factors lead to the disorders for higher utilization. Dangers and Predictions With nearly 20,000 mental health apps on the market, there are probably a fair number which aren’t as useful as they hope or claim to be. And some can be dangerous as was discovered in a 2015 study in which therapies for bipolar disorder were found to be inconsistent with established treatments (Nicholas, J., et al., Journal of Medical Internet Research, 2015). Not to mention ineffectual apps and those which disrupt treatments already in place and established. Mindfulness Apps at Work For happier, healthier workers not burned out from Zoom-fatigue and remote working, business leaders are focusing more and more on mental health. Some are offering mindfulness moments or group yoga classes or meditation opportunities throughout the day for a mental health break. Mental health discussions are now standard practice and efforts to open up more on this front through self-care prioritization and workplace wellness are making their mark. Employee mental health is top of mind as businesses and employees navigate the new normal when it comes to work, education, and the blurring of personal and professional lives as we continue remote practices.  What was once taboo and swept under the rug has been met with Digital Technology, Apps, AI, Machine Learning, and the door is open for discussion. Whether you take a mindfulness minute, write in a journal, meditate, or log in to your app remember mental health awareness is about self-care for the whole you. Need a mental health break? There’s an app for that. If you’re interested in Big Data and Analytics, 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.  

Joshua Poore

Joshua Poore

06. May 2021

How Computer Vision Can Modernize American Infrastructure

What if we could imagine a city in which there were no traffic bottlenecks or jams? What if we could sail through tolls and park using an app? Could high-speed rail replace cars as our main means of transport commuting to and from work? Would travel apps with our faces, government IDs, and medical records launch us past the long security lines at the airport?  We already use computers to help us navigate our destinations, buy plane or train tickets, and in some cities, park using only our location and a credit card. Already a part of our day-to-day for many, computer vision is moving us along at a rapid rate.  Smart cities are changing the way we move Computer Vision is being used in a variety of ways and is modernizing our transportation infrastructure for a start. Using advanced technology, computers are learning to ‘see and hear’ and make informed decisions much as humans might to make our world more efficient and safer.  Below are just a few places Computer Vision is already in play in our communities: Traffic patternsTraffic signals – connected cameras watch for pedestrians as they monitor traffic flow. These connected cameras also help to optimize flow and reduce congestion.Street lamps – imagine saving electricity by dimming street lamp switches then turning them back on if movement is detected.Tolls – camera captures of your license plate billed to where it's registered and EZ Pass lanes – one pass to move across highways without slowing, stopping, or having to handle cash or coin.GPS warnings – red for stopped traffic, yellow for slowed trafficParking apps - in cities with significant parking issues such as limited space. Imagine using a location-based service parsed into zones and your credit card to not only find a parking spot more easily, but to guarantee your car won’t be towed or mishandled.Clear ID - when traveling both domestically and internationallyHigh-speed rail - in some cities and talks under way for more. Commuter trains are moving beyond New York and Chicago to other cities such as Atlanta, Detroit, and Dallas just to name a few. These are just a few ways cities are being modernized for individuals. But what about on a grander scale? With the increase of online orders and demand for delivery in the last year or two, it’s estimated that over 1 million packages were delivered in New York each day. Extrapolate that to the other 49 states and the amount of traffic on the road that is strictly for deliveries soon overtakes that of individual commuters. Computer Vision is Solving for Delivery Congestion For many downtowns, parking can be a bear. Especially if you have a delivery van or truck. Where do you park to make your deliveries? Remember, you’re on a deadline. All. The. Time. What if a car is parked in your loading zone? What if there’s too much traffic to park? What had once plagued urban roadways was now a bone of contention to deliver products in a timely manner. On the more negative side of these frustrations, parking revenue was virtually eliminated as the larger companies absorbed the costs into their cost of doing business. No one was getting anywhere fast. Enter Computer Vision technology. Once the reason behind the problem was understood, cities could begin to plan for a solution. This technology could be used to help city planners understand curbside activity so they could tailor their plans based on their cities’ needs. With the proper data to make more informed decisions, cities can plan locations for passenger parking, ride-hailing lots, and delivery only zones to make more efficient use of people’s parking needs. Next Steps Toward a Modernized Infrastructure Curb management is just one of the options that America is working on to modernize its infrastructure. Making traffic patterns and flow more efficient is another. Imagine a plan in which pedestrians, drivers, cyclists, commuters, and delivery fleets can safely share the road while also investing in clean energy solutions. Adding in infrastructure plans to also help combat climate change makes it a win-win for everyone. If you’re interested in Big Data & Analytics, 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.  

Karla Guerra

Karla Guerra

29. April 2021

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