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Computer Vision

Cloud Engineer
Salary

US$170000 - US$190000 per annum

Location

Washington, District of Columbia

Description

I'm looking for Cloud Engineers to join a federal consulting firm providing data & analytic solutions to enterprise businesses and federal agencies.

Reference:

110841/jr #JAR1

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Senior Machine Learning Scientist
Salary

US$180000 - US$220000 per annum

Location

San Francisco, California

Description

This opportunity is for someone looking to join a data-driven media startup. The role provides enormous opportunities to grow and take on new responsibilities.

Reference:

109564-JS

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Software Engineer (Computer Vision)
Salary

US$170000 - US$200000 per annum

Location

San Francisco, California

Description

As a Senior Software Engineer for this company, you will build out a team in the autonomous driving space. Apply if you have experience with C++ Python & LiDAR

Reference:

108555/JS

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Director, Analytics
Salary

US$150000 - US$160000 per annum

Location

Boston, Massachusetts

Description

Do you have progressive experience managing agile analytics teams at Marketing & Advertising companies?

Reference:

00068/GL

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Director of Customer Analytics
Salary

US$150000 - US$170000 per annum

Location

New York

Description

We have a client whose mission is centered around helping those in need. Apply today to be a part of their impact!

Reference:

110322VB3

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SVP, Measurement
Salary

US$250000 - US$260000 per annum

Location

New York

Description

An innovator within TV Ad Measurement is in the market for an SVP-level leader to preside over both the Custom Analytics and Data Science teams!

Reference:

108471/GG4

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Senior Autonomy Engineer
Salary

US$130000 - US$145000 per annum

Location

Washington, District of Columbia

Description

Click to read more about a role that would allow you to work on developing autonomous systems for defense purposes!

Reference:

85792/AN0419

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SLAM Engineer
Salary

US$115000 - US$135000 per annum

Location

Detroit, Michigan

Description

Join this growing navigation team at a Michigan based start-up

Reference:

081120/AN0419

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Autonomous Systems Engineer
Salary

US$120000 - US$150000 per annum

Location

District of Columbia

Description

This company is working on solving the biggest issues within autonomy and robotics for the US government.

Reference:

32670-MR4

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Embedded Systems Engineer
Salary

US$70000 - US$100000 per annum

Location

Ann Arbor, Michigan

Description

An autonomous robotics company in Michigan is looking to add an Embedded Systems Engineer to their fast-growing team.

Reference:

109731-MR2

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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.

Making Sense of Unstructured Data with NLP

Natural Language Processing. It seems a simple enough explanation. The idea is to make computers sound like native speaking humans regardless of their language. Except there’s one problem. When we speak, we don’t follow our own rules of grammar. We use idioms, metaphors, abbreviations, and oftentimes use more body language to communicate than we realize.  So, what’s a poor machine to do when confronted with such an unstructured melee of data? Well, since semantics is not what you say it’s how you say it, we must teach computers to read between the lines. Of code. Enter NLP. The semantics of human language written for a machine to help make sense of our human behaviors gets organized. The Perfect Imperfections of Language Computers require structure. Natural language does not. Teaching machines how we communicate is no easy task, and yet we use machines that can do this every day. By combining technology and Machine Learning we begin to teach computers how to understand us. We teach them how to interpret and determine what it was we want done. When you’re asking Siri or Alexa a question, you’re helping them to learn how you ask, so they can better respond, and they make you more efficient. It’s a win-win for everyone. In business, using NLP techniques to drive business decisions is even more important. Now, the computer must decide what information is the most valuable to pull from a pile of Data. Understanding our choices, our tone, even the words we choose to use, helps our machines learn what we want to do or need done. Where is NLP Used? Since we use different rules when we speak than when we write, our computers learn how we talk and how to use language more naturally. Wondering where NLP might be used? In a word or two? Nearly everywhere. You are scheduling a meeting and when it’s time, a calendar reminder pops into your phone which says estimated drive time to the meeting based on traffic conditions in your area. Or you ask Alexa to play your favorite music list from Pandora.  Every touchpoint in this scenario is using NLP. We naturally might get into our car, ask our Virtual Assistant navigation system for directions, or to play our favorite music. Our choices don’t fit in a box and may not be logical, but the more we teach the machines, the closer they may get to understanding the nuances of our language. Here are 5 more ways we use NLP every day: Predictive text on your phone or in your Word document. Chatbots and Virtual Assistants to ensure customers are acknowledged in a timely manner, answer basic questions or redirect to appropriate personnel, and making suggestions to improve the customer experience.Curating social media feeds to determine customer needs and interest.Grammar correction software so our emails and business documents are error-free.Analyzing customer interactions using comments and reviews for customer feedback about a product or service. There’s a ton of information to be filtered, sorted, sifted, and analyzed, and NLP is just one of the tools Data Scientists use. Interested in the subfield of NLP? Check out this article for 6 techniques you need to know to get started. Already well-versed in the industry and looking for a new challenge? If you’re interested in Big Data and Analytics, Advanced Analytics, Life Sciences, Data Science, or any of our Data professional fields, we may have a role for you. Review 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.  

Elizabeth Sobel

Elizabeth Sobel

25. March 2021

News

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.  

Annie Nasharr

Annie Nasharr

04. February 2021

News