HIRING: Business Development Intern

OUR TEAM

Marinus Analytics is a woman-owned social impact SaaS company founded in 2014 out of The Robotics Institute at Carnegie Mellon University. We investigate how Artificial Intelligence (AI) can turn big data online into actionable intelligence. The AI solutions we deploy help law enforcement, government, and the private sector identify and combat human trafficking—and empower government social services agencies to better serve their communities. Our solutions empower data-driven, people-centric responses in the modern age.

We are a lively team working out of the North Side of Pittsburgh. Although we are extremely passionate about socially impactful work, we also enjoy the occasional happy hour with the team and our collaborators.

 

YOU

We're looking for a dynamic and results-driven individual with deep rooted desire to grow in their knowledge and professional experience with business development, government contracting, and customer relationship management. While experience is helpful, we are willing (and able) to train individuals who are the right fit. The ideal candidate is a self-starter with a high work ethic who is coachable and passionate about customer experience. Interest in the field of law enforcement and public safety is a plus.

 

SKILLS REQUIRED

  • Excellent verbal and written communication skills

  • Strong attention to detail

  • Comfortable learning and using sales and business development platforms (e.g. CRM, MailChimp)

  • Tech-savvy and able to verbally simplify complex technologies in customer conversations

  • Comfortable cold-calling and represents the Marinus Analytics brand well

  • Takes initiative to solve problems and troubleshoot

  • Self-starter and good at managing your own time to meet business goals

  • Frequently documenting your findings (through progress notes, reports, or summaries) and succinctly reporting progress and outcomes to executives

  • Strategic thinker always looking for the best process to accomplish business tasks efficiently

  • Believe in fighting for the human rights of others

 

ABOUT THE INTERNSHIP

  • 10 - 20 hours per week

  • Research, identify, and tenaciously generate new opportunities over the phone and web

  • Qualify, build, and manage an accurate and up-to-date customer pipeline

  • Maintain a high daily volume of activity including outbound calls, emails, and social selling

  • Manage CRM and other databases as needed

  • Manage purchasing process and invoicing of new customers

  • Thrive on change while remaining highly organized, optimistic, and coachable

 

QUALIFICATIONS & SKILLS

  • 0 - 2 years of Sales / Business Development experience

  • Familiarity with B2G Sales / Business Development process

  • Required education: Bachelor's Degree by time of hire

  • Strong communication skills (written and oral)

  • Ability to work independently and in a team environment

  • Remote work, but Pittsburgh-based is a plus

COMPENSATION

Competitive and commensurate with experience.

 

TO APPLY

Send your resume and cover letter to info@marinusanalytics.com, indicating your interest and which internship you are applying for.  We look forward to hearing from you!

HIRING: Assistant-to-CEO

OUR TEAM

Marinus Analytics is a woman-owned social impact SaaS company founded in 2014 out of The Robotics Institute at Carnegie Mellon University. We investigate how Artificial Intelligence (AI) can turn big data online into actionable intelligence. The AI solutions we deploy help law enforcement, government, and the private sector identify and combat human trafficking—and empower government social services agencies to better serve their communities. Our solutions empower data-driven, people-centric responses in the modern age.

We are a lively team working out of the North Side of Pittsburgh. Although we are extremely passionate about socially impactful work, we also enjoy the occasional happy hour with the team and our collaborators.

YOU

  • Excellent written and verbal communication skills and ability to interact with internal and external partners

  • Ability to handle multiple priorities at once and maintain composure in a fast-paced environment

  • A problem solver at heart with a genuine interest in learning by helping

  • Self-starter and good at managing time to meet business needs

  • Strategic thinker looking for the best processes to accomplish tasks efficiently and effectively

  • Voracious learner, comfortable taking feedback to grow your skills

  • Exceptional attention to detail and able to catch small mistakes

  • Document your work frequently (through notes, reports, or summaries) to track and share progress and outcomes

  • Pittsburgh-based

ABOUT THE POSITION

This position is a prime opportunity for someone who wants to experience how a SaaS company functions. You will be directly supporting the CEO in tasks ranging from internal and external communications to team management, goal-setting, corporate mission and vision, and long-term planning and forecasting. This is an empowered role with hands-on exposure to strategy and operations at an AI startup, managing globally distributed teams, and the nuts and bolts of being an entrepreneur. You will attend staff meetings, compile notes on progress and outcomes, conduct research, and follow-up on outstanding action items. A willingness to learn quickly is much more important than prior experience.

 

COMPENSATION

Competitive and commensurate with experience.

 

TO APPLY

Send a resume and cover letter to info@marinusanalytics.com, indicating your interest and the position you are applying for. We look forward to hearing from you!

HIRING: Machine Learning Researcher

OUR TEAM

Marinus Analytics is a woman-owned social impact SaaS company founded in 2014 out of The Robotics Institute at Carnegie Mellon University. We investigate how Artificial Intelligence (AI) can turn big data online into actionable intelligence. The AI solutions we deploy help law enforcement, government, and the private sector identify and combat human trafficking—and empower government social services agencies to better serve their communities. Our solutions empower data-driven, people-centric responses in the modern age.

We are a lively team based in the North Side of Pittsburgh. Although we are extremely passionate about socially impactful work, we also enjoy the occasional happy hour with the team and our collaborators.

Marinus Analytics is seeking a full-time ML Researcher or part-time Research Intern with Natural Language Processing focus to work on a Human Services insight tool for social workers. This role involves strategic planning and execution to curate appropriate ground truth, establish repeatable processes, and involve subject matter experts in the verification and validation of results.  Researcher must be effective in teaming, communicating, and troubleshooting. We are seeking an individual passionate about making a social impact through their contributions.

QUALIFICATIONS

  • Build and deploy NLP and machine learning pipelines

  • Experience in Natural Language Processing (NLP)

  • Understanding of the technology landscape including open source, commercial on-premises, and cloud-based tools: Tensor Flow, Amazon Web Services Comprehend / Sagemaker

  • Frameworks to process end to end data management life cycle for NLP, Machine Log Algorithms, Text Mining Algorithms

  • Experience with server-side web frameworks (Django (Python))

  • Strong experience with relational databases (PostgresDB, MySQL)

  • Experience with NoSQL databases (MongoDB, Neo4j)

  • Experience developing on LINUX

EXPERIENCE

  • Must be currently enrolled or have graduated with a BS, MS or PhD degree program in Computer Science, Linguistics, Computational Linguistics, Statistics, or equivalent practical experience.

  • Experience (classroom or work related) in one or more areas of computer science, such as Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Software Engineering, Programming Languages, Distributed Systems, Human Computer Interaction, Networking, Operating Systems, Computer Architecture, Data Mining and/or Machine Intelligence (Artificial Intelligence).

  • Experience with one or more general purpose programming languages including: C/C++, Java, MATLAB, or Python. 

COMPENSATION

Competitive and commensurate with experience.

TO APPLY

Send a resume and cover letter to info@marinusanalytics.com, indicating your interest and the position you are applying for. We look forward to hearing from you!

Marinus Analytics Awarded as Technology Pioneer by World Economic Forum

The artificial intelligence technology company is one of 56 companies worldwide selected for its potential to “transform their industries” and improve society 

 
 

PITTSBURGH (July 16, 2019) -- Marinus Analytics, the Pittsburgh-based technology company that uses machine learning and artificial intelligence to fight human trafficking, has been selected by the World Economic Forum as one of its 2019 Technology Pioneers.

 

Marinus Analytics and its proprietary technology are being used by more than 200 law enforcement agencies around the world, including the FBI, Scotland Yard, The U.S. Department of Homeland Security, and the Los Angeles Police Department.

 

“We’ve already been able to make a positive impact in the fight against human trafficking, but joining the World Economic Forum as a Technology Pioneer will help us accelerate the scope of our global impact,” says Cara Jones, CEO and cofounder of Marinus Analytics. “This program is going to help us to grow and improve the work that we already do, and it will help us take our work to new and even more impactful heights.”

 

Since 2000, the World Economic Forum has annually recognized a limited number of companies from around the world who are poised to have a significant impact on business and society through their design, development, and deployment of new technologies and innovations. Technology Pioneers have the opportunity to collaborate and learn from one another, to interact with industry leaders, scientists, academics, and governments, to explore how emerging technologies are impacting the world, and to participate in World Economic Forum meetings and other opportunities.

 

Law enforcement agencies who rely on Marinus Analytics’s proprietary software can more efficiently parse massive amounts of data and turn it into actionable intelligence. Behind massive data streams are the individuals who create them—dealers behind hundreds of serial numbers, criminals behind thousands of financial transactions, or human trafficking victims behind millions of online advertisements.

 

Marinus Analytics’ technology is able to pinpoint the person in the data, ultimately revolutionizing the way law enforcement agencies stop and prevent human trafficking, recover victims, and dismantle organized criminal networks.

 

Marinus Analytics, is a women-owned company that was founded in 2014 out of Carnegie Mellon University Robotics. The company partners with Hewlett Packard Enterprise, and the two organizations are working together on building out and further improving the impact and usefulness of the Marinus technology.

 

The Technology Pioneers were chosen by a selection committee of more than 59 academics, entrepreneurs, venture capitalists and corporate executives. The committee based its decisions on criteria including innovation, potential impact and leadership. Past recipients include Airbnb, Google, Kickstarter, Mozilla, Palantir Technologies, Spotify, TransferWise, Twitter and Wikimedia.

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Marinus Analytics finds sex trafficking surging online after Backpage.com shutdown

FOR IMMEDIATE RELEASE

_____________________________________________

Contact Information:

Markowitz Communications (O): (412) 577-5140

Saul Markowitz (cell) 412 977-8517 saul@markowitzcommunications.com 

PITTSBURGH—Nov. 13, 2018—The close of Backpage.com put an end to the single largest site in the U.S. for online sex trafficking. However, ads have moved quickly into other venues online, now surpassing the volume on Backpage.com.

Marinus Analytics, a technology company spun out of Carnegie Mellon University, noticed this trend using its proprietary Traffic Jam tool, which uses AI to trawl through patterns and trends in online activity, turning it into actionable intelligence.

In April 2018, the FOSTA-SESTA (Fight Online Sex Trafficking Act and Stop Enabling Sex Traffickers Act) became law. In the same month, Backpage.com was shut down by the FBI. This disrupted online sex ad activity significantly—but only for a short time.

Despite the disruption, in the following months, the activity has grown again and surpassed the levels seen in early 2018. The observed average daily volume of ad activity on the leading U.S. escort websites is greater currently than it was on Backpage.com in the days leading up to the shutdown.

If you are a law enforcement agent or prosecutor and want to receive a copy of the White Paper covering the details, email info@marinusanalytics.com or call at (866) 945-2803.

 

About Marinus Analytics

Marinus Analytics is a woman-owned company founded in 2014 out of Carnegie Mellon Robotics. We investigate how AI can turn big data online into actionable intelligence.  We know that it's not just about data: it's about people. Behind massive data streams are the individuals who create them. Whether it's a dealer posting drugs for sale online, a criminal behind thousands of financial transactions, or a victim behind millions of adult advertisements...we pinpoint the person in the data. The AI solutions we deploy help law enforcement, government, and the private sector identify and combat criminal activity. Our solutions empower data-driven, people-centric responses in the modern age.

 
 

AI for Humanity: HPE Discover 2018

Last month, we had the opportunity to speak about the use of Artificial Intelligence for the benefit of humanity at the Hewlett Packard Enterprise Discover 2018 Conference. We had the chance to share about our work using facial recognition to fight human trafficking, as well as brainstorm and discuss the present and future challenges to ensure ethical use of AI.

Check out a thought-provoking Q&A here, where Marinus President and Founder Emily Kennedy is interviewed by Dr. Eng Lim Goh, AI expert and VP at HPE, about the mindblowing success law enforcement has had with Traffic Jam's facial recognition tool, FaceSearch, and how AI tools have been used to find victims of sex trafficking in the most dire circumstances. Dr. Goh is a captivating speaker on AI and what it means for the future of humanity. 

 
 

Ms. Kennedy also had the chance to sit down with Hewlett Packard Enterprise and delve into how Marinus Analytics is using AI for good, and what are some of the complexities of that challenge.  That interview can be viewed here.

We also discussed how AI should not be just a push-button process where we get a miraculous but inexplicable answer out of a black box. Explainability of AI is extremely important, and we see the best applications of AI happen when humans and robots collaborate to get to better answers than they could apart.

As we heard Rosanna Myers describe it at The Atlantic Future:Now event, "co-bot" is the ongoing collaborative work that humans and robots can do together.  Coming soon, a panel discussion will be posted here that will dig further into the ethics of AI. It will be released shortly as a part of the HPE Podcast on "Bringing AI to the Masses." Stay tuned!

Traffic Jam Success Story

The Outcry
It started with an outcry from Allie,* who was pimped 2 years ago by a violent trafficker who went by the name “Julian.”* She told Detective John Patterson,* “I want to get out of this, because of what Julian’s done to me. And he did it to a 15 year old girl, too.” Similar cases of this scope—which grew to 21 identified victims—would take a year; Detective Patterson built this case in about 3 months.  Detective Patterson credits the importance of good experience, trainings, and technology tools like Traffic Jam.

 
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The Violent Pimp
Julian was a violent pimp, and he required a $1,500 per day quota for each victim; he would beat them if they didn’t bring home that money each night. He had been arrested many times in the past; for aggravated assault with a motor vehicle, running his victims over with a car several times. For strangling one of his victims until she passed out. For punching and assaulting others. But force, fraud, and coercion aren’t always physical; he also threatened to kill their children if they didn’t work for him.
 
Julian recruited his victims in person and on social media apps like Instagram. He broke down one victim by recruiting her to work as a stripper, and then repeatedly raping her over a number of days. When she still refused to sell sex for him, he withheld food until she broke down and agreed. When she tried to escape, he used a location tracking app on her phone to chase her down. He found her, assaulted her, and put her back to work. She couldn’t work for a few more days, because customers would notice her black eye.
 
Traffic Jam
Detective Patterson used Allie’s testimony to begin piecing together the case. By searching victims’ Facebook photos through Traffic Jam’s FaceSearch, he was able to find their ads posted across the country, from the South all the way up to Pennsylvania and back. He said, “I used Traffic Jam to map out the course that Allie exactly described.”

He was searching for Sarah,* an underage victim Allie had told him about. He scrolled through Sarah’s Instagram, and found the most recent pictures she posted of herself, which were over 2 years old, from when she was fifteen. He said, “I didn’t think it would lead to anything, because it was such an old photo. But I thought I’d run it through FaceSearch just in case. I couldn’t believe it when the 2 year old photo returned top matches in FaceSearch that looked just like her.” He saw in the Traffic Jam trail that she was currently posting in California, but had posted in his city in the months before. Through use of FaceSearch and confirmation of the locations/times in the Traffic Jam trail, Detective Patterson successfully identified Sarah using a photo that was 2 years old.
 
Allie told him about another victim, Sammy,* and her Facebook account. He found some year-old pictures of Sammy on her Facebook profile and uploaded them into FaceSearch to see if he could find a match. FaceSearch returned top matches, none of which looked like Sammy. Patterson said, “I thought the matches weren’t her, they just didn’t look like her.” He sanity-checked the top matches, by checking the timing and location of the ads. Then, he said, “I found that one of the phone numbers in the ad was registered to her name. That made me realize that the pictures from the FaceSearch results were a correct match, but I didn’t recognize her at first because she had changed her appearance so drastically.” When the appearance of the victim looked completely different, FaceSearch was still able to make a positive match, in seconds.
 
Where Are They Now
By using various technology tools like Traffic Jam, paired with victim interviews and evidence gathered through search warrants, Detective Patterson determined the 21 victims Julian had exploited over a number of years. Patterson assembled a history of money transfers from the victims to their pimp. He confirmed that many of Julian’s victims were working in different states (as correlated to their ads) and wiring their earnings from out of state back to Julian. He determined Julian was making about $15,000 a month, from 2 girls alone; and he had a total of 21 victims over the span of the investigation.

The police department received an arrest warrant for Julian for 6 felonies, which they served him when he came out of the house on trash day. Detectives intervened right after he had threatened to kill another victim’s baby if she didn’t keep working for him. This violent trafficker is currently in jail without bail, awaiting prosecution and potential life in prison for his crimes, all thanks to the tireless efforts of Detective Patterson and his team.
 

* names have been changed to protect individual’s identity

Contact

For law enforcement who would like to be in contact with the detective
who submitted this story, please email us and we will connect you.

Have a success story other investigators should know about? Share your story.

Marinus Analytics Statement on Backpage

Marinus Analytics released the following statement after Backpage.com and its affiliate websites were seized by the FBI and other federal agencies. Emily Kennedy, CEO of Marinus Analytics, said:

"On the evening of Friday, April 6, Backpage.com and its affiliate websites were seized by the FBI and a number of other federal agencies. This has been successful in significantly disrupting the human trafficking market in the past few days. 

"Because it is a black market, human trafficking is an ever-evolving crime. Traffickers are constantly innovating and--as they have in the past--will move to new websites and platforms where they can publicly advertise, to capitalize on this billion dollar industry.

"Websites and platforms will inevitably shift, but our Artificial Intelligence capabilities flexibly adapt to new data sources as they emerge over time. Marinus Analytics maintains our mission to keep law enforcement on the cutting edge with advanced capabilities. We will keep our law enforcement partners informed as to which platforms attract the largest portion of activity in light of these shifts, and will adjust our focus on new resources as they emerge.

"We will continue our work to support law enforcement agencies with cutting edge tools in the evolving space of human trafficking, so they can continue our shared mission of empowering the rescue of victims."

If you are law enforcement and want access to Traffic Jam, please email us at info@marinusanalytics.com or call us at (866) 945-2803.

Amazon Rekognition helps Marinus Analytics fight human trafficking

Marinus Analytics’s Traffic Jam makes use of the huge amount of data online to proactively find victims, target criminals, and identify transnational criminal networks. These are a complex and evolving issues: “I am inspired by the impact we’ve seen thus far in the human trafficking space. Daily, we empower local, state, and federal law enforcement across the United States and Canada to rescue hundreds of victims and apprehend those who exploit them,” Kennedy says.

Now with Traffic Jam’s FaceSearch, powered by Amazon Rekognition, investigators are able to take effective action by searching through millions of records in seconds to find victims.

Recently, Marinus Analytics added facial recognition to the Traffic Jam platform using the Amazon Rekognition AI service. Marinus is the first group to effectively turn facial recognition technology against the vast, clandestine networks of human traffickers that prey upon our most vulnerable citizens. In the first few days following the release of Traffic Jam’s FaceSearch, law enforcement agents made multiple successful identifications of minors being sold online for sex. In one case, detectives identified the missing victim by searching her social media photos in FaceSearch. A positive match was quickly made and law enforcement was provided with the critical information to locate and rescue the victim.

Law enforcement needs sophisticated tools to foster victim-oriented policing in the age of the Internet. Law enforcement knew that runaway children are among the most likely to be trafficked. Before using Amazon Rekognition, their only recourse was to manually sift through online data to try to find them; this was time-intensive or not possible.  Now with Traffic Jam’s FaceSearch, powered by Amazon Rekognition, investigators are able to take effective action by searching through millions of records in seconds to find victims. They can use a photo of a missing child, a social media photo, or a photo from a social worker, and quickly determine whether a potential victim has been advertised online for commercial sex.

In one case, detectives identified the missing victim by searching her social media photos in FaceSearch. A positive match was quickly made and law enforcement was provided with the critical information to locate and rescue the victim.

Marinus Analytics has indexed over one and a half million faces in FaceSearch since its inception. The company uses a suite of AWS resources—in addition to Amazon Rekognition—to operate the Traffic Jam platform. Cara Jones, Chief Operating Officer, comments “In our engineering approach, we remain lean and cutting-edge through the use of AWS’s cloud infrastructure, intuitive administrative interfaces, and access to deep learning-based AI services , such as Amazon Rekognition. Facial Recognition was a long sought after feature by our users. AWS has allowed our startup to have a major impact in supporting law enforcement and in turn, helping victims of these crimes.”

There is interest among law enforcement to apply this tool more systematically and automatically, and in conjunction with other data sources, to proactively uncover human trafficking.  FaceSearch and future innovations by Marinus will help uncover this hidden crime in our communities, rescue victims, and bring their exploiters to justice. Marinus Analytics will continue to innovate using AWS services to ensure widespread social impact.

Pittsburgh-based tech company debuts first facial recognition technology designed to halt global human trafficking

Marinus Analytics is the first to effectively turn facial recognition technology against the vast, clandestine networks of human traffickers that prey upon our most vulnerable citizens.  Traffic Jam’s FaceSearch gives detectives the tools to find specific missing persons, and apprehend their exploiters more effectively.