We at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level.
 

This role is intended to be hybrid, which means you must be located within a drivable distance to Boston, Seattle, or Minneapolis Corporate locations.

As a Machine Learning Scientist/Engineer Intern, you’ll have the opportunity to work alongside industry experts researching, developing, and applying cutting-edge machine learning and artificial intelligence algorithms to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Best Buy's core growth.  In this role you will combine your passion for software engineering and ML/AI algorithms to contribute to a team developing and operationalizing ML models and production quality code to unleash next generation of customer experiences and transform the way Best Buy operates day-to-day. 

Join us if you like to:

• Developing Machine Learning solutions and services leveraging state-of-the-art techniques
• Applying software engineering skills to develop and deploy solutions that can scale to millions of requests per second with millisecond latency
• Utilizing broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core machine learning capabilities
• Building real products that influence and enhance the lives of millions of people and drive and deliver tens of millions of dollars in impact to Best Buy’s bottom line
• Having fun!

Basic Qualifications:

• Pursuing a master’s or PHD degree graduating between Fall 2023 and Spring 2024 
• Must be able to work out of one of the following HUB locations; Seattle, Boston, or Minneapolis.
• Foundational machine learning and algorithmic background with some understanding of at least one of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, graphical modeling, or nonlinear/stochastic optimization
• Experience with at least one data science/analytics programming language (e.g. Python, R, Julia)
• Foundational software engineering skills and programming experience with one of more programming languages - Python, R, Julia, Scala or Java

Preferred Qualifications:

• Experience using high performance machine learning libraries and/or deep learning frameworks like PyTorch or Tensorflow
• Fluency with Python and SQL
• Experience working over cloud
• Knowledge of functional programming

The Trustworthy eXtended Reality (XR) work stream brings together core elements of computational security, network security, and AR/VR competencies to make the extended reality experiences of today and tomorrow more secure, safe, privacy-preserving, and trustworthy. We are seeking a part-time intern (10 hrs/week) to join a growing, highly collaborative, and cross disciplinary team of researchers to work on projects applying cutting-edge cryptographic tools to state-of-the-art computer vision applications offloaded on ultra-fast, low latency networks.

We are seeking an intern with the required core competencies:

·       Proficiency in C++ programming.

·       Understanding of core concepts in cryptography.

·       Basic-to-proficient understanding of computer vision topics.

The following qualifications are desirable (but may not be required):

·       Conference participation, paper submissions, or open-source work demonstrating interest in applied cryptography and/or CV topics.

·       Expertise in computer vision.

·       Programming experience building or using cryptographic libraries or tools.

What can you expect?

·       A highly motivated, diverse group of researchers dedicated to solving critical problems on the frontier of privacy, security, and emerging extended reality technologies.

·       A vibrant community of research practitioners invested in collaborative research and providing constructive feedback for each other’s professional growth.

·       An inclusive workplace that celebrates the beauty of diversity of background, orientation, experience, faith, and thought in our communities. 

Full posting: https://www.citadel.com/careers/details/quantitative-researcher-phd-intern-us/

The Machine Learning Department invites applications for summer and fall 2022 internships.  We have research projects covering many areas of machine learning. The internship will involve research and development of novel machine learning algorithms with applications in image/video analysis, natural language processing, big data analytics, bioinformatics, and health care. Our internships normally result in high-quality publications. Minimum duration of the internships are usually 3 months and the exact dates are flexible.

The Machine Learning group conducts research on various aspects of machine intelligence and reasoning, from the exploration of new algorithms to applications in computer vision, semantic comprehension, and bioinformatics. Our researchers have extensive expertise in theoretical and application aspects of machine learning, as well as in the development of parallel algorithms for large-scale data analysis.

Ongoing projects focus on machine reasoning, text understanding, deep generative models, representation learning, few-shot/zero-shot learning, interpretable models, data visualization, deep learning systems, and reasoning with combinatorial optimization, among others. Publishing is an integral part of our activities as a means for calibrating the quality of the research and to ensure staying at the forefront of technology. Application projects emphasize technologies that solve real world problems, and many of our research results have been and will be transferred into industry products.

The Media Analytics Department is seeking the next generation of thought leaders in computer vision and machine learning for research internships in Summer 2022. Our interns work closely with the research team to explore creative directions with a potential for high impact in industry and the broader community. 

Intern projects usually result in student-led papers published at top-tier venues such as CVPR, ICCV, ECCV or NeurIPS. Outstanding applicants pursuing a PhD in all areas of computer vision are encouraged to apply, including but not limited to the following:
• 3D scene understanding
• Visual recognition
• Domain adaptation and generalization
• Multi-task and multimodal representations
• Vision-language understanding
• Implicit neural representations
• Embodied AI
• Fairness and sustainability
• Privacy-aware learning
• Computational photography

If you are as thrilled as us about advances in computer vision, join us for a fun-filled Summer 2022! To check out our latest work, please visit: https://www.nec-labs.com/media-analytics/

Please contact Nicole at  <nicole.pintone AT philips.com> to apply directly or with questions.

Intern – Multimodal Sensing – Cambridge, MA - 2021-

Are you interested in an Intern opportunity with Philips? We welcome individuals who are currently pursuing (or have recently completed) an undergraduate (BS) and/or graduate (MS) degree to participate in 3-6-month paid intern/co-op opportunities at our sites across the US. Through these roles you will gain meaningful, hands-on experience in engineering for a HealthTech company.

If you are a Colorado resident and this role is a field-based or remote role, you may be eligible to receive additional information about the compensation and benefits for this role, which we will provide upon request.  You may contact 888-367-7223, option 5, for assistance.

In this role, you have the opportunity to

Our team in Cambridge is developing intelligent, multimodal contactless monitoring solutions to assess the health status of individuals. You will help expand and improve our solutions to tackle practical challenges, by exploring state-of-the-art computer vision, signal processing and machine learning technologies. You will have the opportunity to make true contributions to world-leading technologies, which might be used in a variety of settings including military applications and emergency scenarios. 

You are a part of

As a Research intern at Philips you will have the opportunity to create a meaningful impact on your career by enhancing the skills within your field, while developing break-through solutions that will create a meaningful impact on the lives of others. Whether you’re working on Connected Care and Personal Health or Ultrasound Imaging and Interventions (UII), you will have the opportunity to experience the ins and outs of a globally diversified company whose mission is to impact the lives of 3 billion people a year by 2025. That’s no small task. But we’re up for the challenge. Are you?  

To succeed in this role, you should have the following skills and experience

Education: enrolled in BSc, or MSc/PhD graduate student in the fields of Electrical Engineering, Biomedical Engineering, Physics or Computer Science.

Background: 

• Familiar with video processing, robot vision, audio processing, or image processing.
• Familiar with continuous biomedical signals: heart rate, respiratory rate, temperature and some signal processing techniques
• Familiar with sensors for biomedical signal acquisition (experience with multi-sensor fusion is preferred)
• Familiar with statistical analysis techniques
• Familiar with hands-on work in experimental settings
• Good problem-solving skills and creativity

Programming Languages: Proficient in different programming languages such as Python/C/C++/C#.

In return, we offer you

The ability to collaborate with, learn and grow from colleagues in a highly complex, global organization where you can use your strengths to help drive strategic business initiatives for Philips.  Additionally, we provide you a dynamic working environment in an innovative business, paired with a competitive salary, excellent benefits, and a supportive atmosphere where you can sharpen your talents with new challenges and career opportunities.

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa.

Company relocation benefits will not be provided for this position. Candidates need to live within the territory or within commuting distance to Cambridge, MA

Why should you join Philips?

Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by watching this video.

To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there, you can also learn about our recruitment process, or find answers to some of the frequently asked questions.

It is the policy of Philips to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status or a person’s relationship or association with a protected veteran, including spouses and other family members, marital or domestic partner status, or any other category protected by federal, state and/or local laws.

As an equal opportunity employer, Philips is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance.

 Equal Employment and Opportunity Employer/Disabled/Veteran

#LI-PH1

The Opportunity

We are seeking motivated engineering interns to help create amazing new technologies!

What you will do

You will collaborate with one or more of the researchers in our lab to research and create new technologies for our products, internal tools, infrastructure, or libraries. This position offers the opportunity to collaborate with extraordinary researchers, engineers, innovators, and designers. You will deepen your research awareness and skill as well as hone your professional engineering ability.

Responsibilities:

• At the beginning of the internship you will work with your mentor to build and present a project plan for the internship.
• Present the project at the end of the internship.
• Meeting regularly about progress and challenges.
• Pursue your weekly goals independently, and seek help when needed.

What you need

• Enrolled in computer science or equivalent majors (opportunities exist for all levels of experience)
• Self motivated
• Good communicator
• Eager to learn and a quick study
• Sufficient depth of expertise relevant to subject area (to be discussed during interviews)
• Creativity

The Opportunity
Adobe Research is looking for brilliant minds who are excited about pushing the state of the art in research areas that impact Adobe’s products and future endeavors. Research and Engineering internships for Spring, Summer and Fall of 2022 are now open to applicants pursuing PhD and master's degrees (exceptional undergraduates will also be considered). 

Working directly with one or more researchers, you will have access to robust computational resources and world-class product and design teams, empowering you to see your work touch millions of screens across the globe.  

Summary  

Adobe Researchers are developing the next generation of advanced technologies and user experiences, inventing a future where Adobe enables new forms of creativity, frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights.  Our research labs actively publish in leading journals and conferences, work with product teams on high profile features, and explore new product opportunities across various domains. We are especially interested in fostering ongoing collaborations that last beyond the internship and become part of your PhD thesis.

Adobe Research focuses on the following research areas:

• Data Science  
• Machine Learning  
• Computer Graphics (2D&3D)
• Document Intelligence  
• Computer Vision  
• Imaging and Video  
• Audio  
• Systems and Languages  
• Natural Language Processing  
• Large Scale Distributed Systems  
• Multimedia Systems  
• Human Computer Interaction  
• AR, VR & 360 Photography 

What you will do 

Under the direction of an Adobe Research mentor, pursue a research problem with applicability to Adobe’s products and with the possibility of academic publication 

•  Develop new algorithms, run experiments, and produce demonstration prototypes  
•  Document and present your work, both verbally and in writing 

What you will need 

• Current PhD or master's student in computer science, or related field (exceptional undergraduates will also be considered) 
• Sufficient research skills and background in your chosen subject area 
•  Strong communication skills and teamwork experience 
• Passion for solving real world problems with web scale data using and inventing state of the art Machine Learning algorithms. 

The Opportunity  

We are seeking motivated engineering interns to help create amazing new technologies! 

What you will do  

You will collaborate with one or more of the researchers in our lab to research and create new technologies for our products, internal tools, infrastructure, or libraries. This position offers the opportunity to collaborate with extraordinary researchers, engineers, innovators, and designers. You will deepen your research awareness and skill as well as hone your professional engineering ability. 

Responsibilities: 

• At the beginning of the internship you will work with your mentor to build and present a project plan for the internship. 

• Present the project at the end of the internship. 

• Meeting regularly about progress and challenges. 

• Pursue your weekly goals independently, and seek help when needed. 

What you will need  

• Enrolled in computer science or equivalent majors (opportunities exist for all levels of experience) 

• Self motivated 

• Good communicator 

• Eager to learn and a quick study 

• Sufficient depth of expertise relevant to subject area (to be discussed during interviews) 

• Creativity 

In your application please highlight how you are aligned with our research directions (found here: https://research.adobe.com/research/).