Founding members of Black in Robotics Monroe Kennedy III and Ayanna Howard with a robot.
Ayanna Howard, chair of the School of Interactive Computing with the College of Computing at Georgia Tech, and Monroe Kennedy III, an assistant professor of mechanical engineering at Stanford University, are founding members of Black in Robotics (BiR), and members of the organization's leadership team. On Nov. 14, BiR and Amazon Robotics will announce they're collaborating to create a regional BiR chapter in Boston. It is the first of what BiR hopes will be many chapters established across the US.
Credit: Glynnis Condon, Georgia Tech, Stanford

Amazon Robotics is primary sponsor of new Black in Robotics Boston chapter

Recently formed organization advocates for more diversity, inclusion, and equity within robotics field.

At a virtual student event connected to the International Conference on Intelligent Robots and Systems (IROS), Amazon Robotics and the recently established Black in Robotics (BiR) organization will announce tomorrow they’re collaborating to create BiR’s first regional chapter, the first of what BiR hopes will be many chapters established across the US.  

Amazon Robotics’ sponsorship includes financial support for events and other activities in the Boston area, as well as providing meeting and event space in Amazon's offices in Cambridge, Massachusetts.

The Boston chapter will help create opportunities for up-and-coming roboticists, and help enrich the company’s talent pipeline, says Tye Brady, Amazon Robotics’ chief technology officer. Amazon Robotics’ headquarters is located in North Reading, Massachusetts, just north of Boston.  The Boston chapter will help Black engineering and science students at Boston-area colleges and universities such as MIT, Harvard, Boston University, Boston College, Northeastern, the University of Massachusetts, Tufts, Worcester Polytechnic Institute, Olin College, and Brown University, network and obtain mentoring and internship  opportunities from area academic and industry professionals.

“Black in Robotics is really about building community and advocating for diversity, and encouraging accountability,” said Ayanna Howard, chair of the School of Interactive Computing within the College of Computing at Georgia Tech, one of BiR’s founders, and a member of its leadership team. “We feel it makes sense to start in Boston because of the large robotics community that exists there, and because there are a large number of students there attending regional universities. It’s an ideal location to start because we can reach out to the students and reach engineers there, and establish a presence, and a blueprint for how we can build communities elsewhere.”

“If you’re an underrepresented minority student at one of the area colleges and universities, you might be only one of two or three people who look like you in your classes, and if you’re a professional working in industry, you might also be only one of two or three roboticists who look like you in your organization,” Howard added. “So this chapter is about building community, and helping students and professionals develop a network, and avoid the isolation they might otherwise feel.”

“We are really driven by the fact that we need to be the change we want to see,” added Monroe Kennedy III, an assistant professor of mechanical engineering at Stanford University who is also a founding member of BiR, and a member of its leadership team. “African Americans especially, but minorities in general, are underrepresented in STEM, and in robotics. As members of the robotics community, we recognize how valuable being a member of the community is to every aspect of our lives. So our objective is to make that opportunity available to more underrepresented minorities.”

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“The current and pervasive lack of racial, ethnic, and gender diversity in the technology ecosystem presents a significant national challenge,” says a report on women and girls of color in computing from the Kapor Center, and other contributors.

Brady says Amazon Robotics is excited to support BiR’s mission of bringing together researchers, industry professionals, and students in robotics to support one another, and help navigate academic, industry, and entrepreneurial paths. When Howard talked with Brady recently about how to address systemic inequities in robotics and the role Amazon Robotics could play in supporting the Boston BiR chapter, he didn’t hesitate.

“Ayanna is an amazing individual with deep technical chops.  Whenever she gets behind something, I pay attention,” Brady said. “I’m excited to support her and the organization’s mission.”

Brady believes it’s important to define the future of robotics with a mindset of diversity and inclusion.

Tye Brady
Tye Brady, Amazon Robotics' chief technology officer, says the Boston chapter of Black in Robotics will help create opportunities for up-and-coming roboticists, and help enrich the company's talent pipeline.

“Why do I say that?  Three reasons,” Brady said. “First, we become more creative with diverse viewpoints and perspectives, which ultimately leads to better robotics. Second, diversity is the answer to adversity. By that I mean, teams become stronger when they’re diverse; they bring more opportunities, more experience, and more viewpoints to the challenge of tackling hard problems. And third, we can source talent from a much larger pool of talent. We’re constantly seeking the best and the brightest to help us reimagine the future, and that means including others than yourself. We really need to grow the talent pipeline in computer engineering generally, and robotics more specifically, and this is a great opportunity to do that.”

The importance of mentoring

Kennedy says the new BiR Boston chapter represents the deep commitment industry and academia have to increasing the number of underrepresented minorities within STEM professions.  He’s excited about the forthcoming opportunities for students, faculty, and industry professionals to learn from each other, and collaborate on projects together.

“This is really a great opportunity for academia and industry to come together, put everything aside, and really come together as roboticists who care about each other, and want to help one another.  This first chapter can really facilitate that vision,” Kennedy said.

The mentorship component of BiR’s vision resonated with Brady.

“I just think about my own experiences when it comes to having mentors, having people help you when you have an interest in something, but no experience,” Brady said. “I’m thankful to those people who extended a helping hand to me. I’m thankful to those companies who said, ‘I can help you; I can give you a chance.’ I’ve lived that, and it’s important to pass that experience on to others. This initiative provides a great opportunity to do that.  Not just for myself, but for our entire Amazon Robotics team.”

Kennedy says he, too, has benefited from many mentors in his career journey, and he’s pulled together different attributes from each to help guide his career and lifestyle choices.

“One thing that was lacking is there wasn’t necessarily one place I could go where these examples came together in a nice, cohesive way,” Kennedy says. “This is something Black in Robotics has to offer. We want to bring these individuals, these examples, together in a cohesive way, so students don’t have to look all over the place to get exposed to these positive examples, to find their heroes.”

Mentorship is a critical component of Howard’s role as a professor at Georgia Tech.

“My group at Tech is very diverse; it’s representative of the world and I hope all of them pursue a career in robotics,” Howard said. “I mentor them, not just academically, but socially as well. I introduce them to people, and I work to push them out front and promote them. And we just need more of that. That’s what resonates for me with this Boston chapter; it’s that ability to network with others that doesn’t happen naturally without this kind of organization. We’re creating the water cooler where people can come together, and networking will be a natural byproduct of that.”

Education and community outreach

Education and community outreach is another component of BiR’s mission.  This, too, speaks to Brady, who’s concerned not only by the lack of underrepresented minorities within the tech industry overall, and the robotics field more specifically, but with declining college enrollments in STEM-related courses.

“We have to get to the K through 12 kids sooner, and engage them in computer science, and science-related topics sooner,” Brady said. “That’s one of the things we hope to enable with this chapter. We want to create robotics ambassadors who can get engaged with K through 12 kids, and share their experiences and their passion for robotics. “Our entire community needs to get involved because we need more college graduates with computer science degrees, engineering degrees, and graduates who are STEM minded.  So that’s another aspect of this initiative that we’re really excited about.”

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Howard agrees, though she emphasizes that the burden shouldn’t solely rest with Black roboticists to help drive change within the field.

“There has been a lot of progress; the needle has moved,” she says. “It just hasn’t moved at the rate is has in other fields like medicine or law. The way we’ve established this organization from the outset is that allies are a pillar. Our mission isn’t just to connect Black roboticists with other Black roboticists. We don’t believe that will move the needle. People like myself, who have been in this field for a while, shouldn’t bear the burden of fixing robotics.  That’s why our approach has been to bring in allies from the beginning; we’ve created an ally steering committee because this isn’t a Black or Brown problem, this is a robotics problem.”

Those of us who have more senior roles in our field have helped knock down some of the walls, but we need to make sure that even though we’ve knocked down some walls, the road for future roboticists is more comfortable to travel on.
Ayanna Howard

“Some of this is also about calling ourselves out,” Howard continues, “to say ‘Look, this is as much our fault as it is society’s fault, and therefore we need to play a role in fixing it. Those of us who have more senior roles in our field have helped knock down some of the walls, but we need to make sure that even though we’ve knocked down some walls, the road for future roboticists is more comfortable to travel on.”

In addition to Howard and Kennedy, other members of BiR’s leadership team include Carlotta Berry, a professor of electrical and computer engineering at the Rose-Hulman Institute of Technology; Edward  Tunstel, group leader, and associate director of robotics at Raytheon Technologies’ Research Center; Quincy Kissiedu-Brown, cofounder of blackcomputerHER; Maynard Holliday, senior engineer, Rand Corporation; Yves Nazon II, a graduate research assistant at the University of Michigan; and Kwesi Rutledge, a PhD candidate in electrical engineering at the University of Michigan.

Howard says the Boston chapter’s first event is scheduled for January. Individuals interested in becoming a BiR member can visit the organization’s website.

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Are you interested in shaping the future of Advertising and B2B Sales? We are a growing team with an exciting AI-first charter and need your passion, innovative thinking, and creativity to help take our products to new heights. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We break fresh ground in product and technical innovations every day! Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top Applied Science talent to help us build new, science-backed services that drive success for our customers. Our goal is to transform the way account teams operate by creating AI agents that help optimize their end-to-end workflows, and developing actionable insights and recommendations they can share with their advertising accounts As an Applied Scientist on the team with a specific focus on creating autonomous AI agents that can operate accurately at large scale, you will bring deep expertise in Natural Language Processing (inc. tokenization, syntactic parsing, named entity recognition (NER), sentiment analysis, text classification), Large Language Models (inc. foundation model fundamentals, post-training, reward modeling, RAG, transformer architecture), Deep Learning, Reinforcement Learning and/or Recommender Systems. You have the scientific and technical skills to build and refine models that can be implemented in production and you continuously measure the performance of your system to drive continuous improvements. You will contribute to chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. You will be part of a team of fellow scientists and engineers taking on iterative approaches to tackle big, long-term problems. You are fluently able to leverage the latest Generative AI systems and services to accelerate and improve your work while maintaining high quality in your work outputs. Key job responsibilities Scientific Modeling - Conceptualize and lead state-of-the-art research on new Reinforcement Learning, Deep Learning, NLP, LLM, (Generative) Artificial Intelligence and Recommender System solutions to create AI agents and optimize all aspects of the Ad Sales business - Lead the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects - Run regular A/B experiments, gather data, and perform statistical analysis - Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving - Publish scientific findings in reports and papers that can be shared internally and externally Product Development Support - Partner with software engineering and product management teams to support product and service development, define success metrics and measurement approaches, and help drive adoption of innovative new features for our services. - Lead requirements gathering sessions with product teams and business stakeholders - Maintain scientific documentation and knowledge for product initiatives Collaboration & Communication - Work closely with software engineers to deliver end-to-end solutions into production - Translate complex scientific findings into actionable business recommendations for stakeholders and senior management - Provide clear, compelling reports and presentations on a regular basis with respect to your models and services - Communicate with internal teams to showcase results and identify best practices. About the team Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.
CA, ON, Toronto
Are you interested in shaping the future of Advertising and B2B Sales? We are a growing team with an exciting AI-first charter and need your passion, innovative thinking, and creativity to help take our products to new heights. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We break fresh ground in product and technical innovations every day! Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top Applied Science talent to help us build new, science-backed services that drive success for our customers. Our goal is to transform the way account teams operate by creating AI agents that help optimize their end-to-end workflows, and developing actionable insights and recommendations they can share with their advertising accounts As an Applied Scientist on the team with a specific focus on creating autonomous AI agents that can operate accurately at large scale, you will bring deep expertise in Natural Language Processing (inc. tokenization, syntactic parsing, named entity recognition (NER), sentiment analysis, text classification), Large Language Models (inc. foundation model fundamentals, post-training, reward modeling, RAG, transformer architecture), Deep Learning and/or Reinforcement Learning . You have the scientific and technical skills to build and refine models that can be implemented in production and you continuously measure the performance of your system to drive continuous improvements. You will contribute to chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. You will be part of a team of fellow scientists and engineers taking on iterative approaches to tackle big, long-term problems. You are fluently able to leverage the latest Generative AI systems and services to accelerate and improve your work while maintaining high quality in your work outputs. Key job responsibilities Scientific Modeling - Conceptualize and lead state-of-the-art research on new NLP, LLM and (Generative) Artificial Intelligence solutions (inc. post-training, fine-tuning, reward modeling) to optimize all aspects of the Ad Sales business - Lead the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects - Run regular A/B experiments, gather data, and perform statistical analysis - Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving - Publish scientific findings in reports and papers that can be shared internally and externally Product Development Support - Partner with software engineering and product management teams to support product and service development, define success metrics and measurement approaches, and help drive adoption of innovative new features for our services. - Lead requirements gathering sessions with product teams and business stakeholders - Maintain scientific documentation and knowledge for product initiatives Collaboration & Communication - Work closely with software engineers to deliver end-to-end solutions into production - Translate complex scientific findings into actionable business recommendations for stakeholders and senior management - Provide clear, compelling reports and presentations on a regular basis with respect to your models and services - Communicate with internal teams to showcase results and identify best practices. About the team Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.
US, WA, Bellevue
Alexa+ is Amazon’s next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. As an Applied Scientist II on the Alexa Sensitive Content Intelligence (ASCI) team, you'll be part of an elite group developing industry-leading technologies in attribute extraction and sensitive content detection that work seamlessly across all languages and countries. In this role, you'll join a team of exceptional scientists pushing the boundaries of Natural Language Processing. Working in our dynamic, fast-paced environment, you'll develop novel algorithms and modeling techniques that advance the state of the art in NLP. Your innovations will directly shape how millions of customers interact with Amazon Echo, Echo Dot, Echo Show, and Fire TV devices every day. What makes this role exciting is the unique blend of scientific innovation and real-world impact. You'll be at the intersection of theoretical research and practical application, working alongside talented engineers and product managers to transform breakthrough ideas into customer-facing experiences. Your work will be crucial in ensuring Alexa remains at the forefront of AI technology while maintaining the highest standards of trust and safety. We're looking for a passionate innovator who combines strong technical expertise with creative problem-solving skills. Your deep understanding of NLP models (including LSTM and transformer-based architectures) will be essential in tackling complex challenges and identifying novel solutions. You'll leverage your exceptional technical knowledge, strong Computer Science fundamentals, and experience with large-scale distributed systems to create reliable, scalable, and high-performance products that delight our customers. Key job responsibilities In this dynamic role, you'll design and implement GenAI solutions that define the future of AI interaction. You'll pioneer novel algorithms, conduct ground breaking experiments, and optimize user experiences through innovative approaches to sensitive content detection and mitigation. Working alongside exceptional engineers and scientists, you'll transform theoretical breakthroughs into practical, scalable solutions that strengthen user trust in Alexa globally. You'll also have the opportunity to mentor rising talent, contributing to Amazon's culture of scientific excellence while helping build high-performing teams that deliver swift, impactful results. A day in the life Imagine starting your day collaborating with brilliant minds on advancing state-of-the-art NLP algorithms, then moving on to analyze experiment results that could reshape how Alexa understands and responds to users. You'll partner with cross-functional teams - from engineers to product managers - to ensure data quality, refine policies, and enhance model performance. Your expertise will guide technical discussions, shape roadmaps, and influence key platform features that require cross-team leadership. About the team The Alexa Sensitive Content Intelligence (ASCI) team owns the Responsible AI and customer feedback charters in Alexa+ and Classic Alexa across all device endpoints, modalities and languages. The mission of our team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, (3) build customer trust through generating appropriate interactions on sensitive topics, and (4) analyze customer feedback to gain insight and drive continuous improvement loops. The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.