MediaTek Incorporated (TWSE: 2454) is a global fabless semiconductor company that enables nearly 2 billion connected devices a year. We are a market leader in developing innovative systems-on-chip (SoC) for mobile device, home entertainment, connectivity and IoT products. Our dedication to innovation has positioned us as a driving market force in several key technology areas, including highly power-efficient mobile technologies, automotive solutions and a broad range of advanced multimedia products such as smartphones, tablets, digital televisions, 5G, Voice Assistant Devices (VAD) and wearables. MediaTek empowers and inspires people to expand their horizons and achieve their goals through smart technology, more easily and efficiently than ever before. We work with the brands you love to make great technology accessible to everyone, and it drives everything we do. Visit www.mediatek.com for more information.

Job:

Staff Engineer/Senior Engineer

Location:

US or Taiwan

Job Type:

Full Time

The Opportunity: Top-Notch Talent Program

MediaTek is inviting talents around the world to join our technical breakthrough for the next decade. Through this channel, you are given the opportunity to design your job assignments with your supervisor. Furthermore, with a customized individual development plan for at least two years, it is ensured that you will get your moment to shine sooner than your peers! If you have the ambition to unlock the challenge of the most advanced and innovative technology. Apply now!

As a staff engineer/senior engineer through MediaTek's top-notch hiring program, you are expected to bring innovation to the company. This role is responsible for advanced technology research and development. We provide training, and a co-work buddy to help you adjust and settle in during the beginner period. You will start as a researcher, and brought into tasks and projects with time, and soon, you will start leading to deliver projects that span across one or more business units. You will make proposals based on your expertise and creativity, and it is important that your ideas matched our business focus and core values, and you have the key knowledge and skills to support your ideas to land. You will play a part in helping the company to further excellence. With the resources provided by MediaTek, the world is your oyster.

 
Responsibilities:

• Keep up with latest academic research/breakthrough and share information with the team.
• Analyze technical development in the industry and develop extensive knowledge for interdisciplinary application.
• Propose innovative ideas and provide key skills in leading this proposal to success.
• Define success criteria. Provide status report regarding milestones, estimates/deliverable, risks and issues. 
• Deliver appropriate and effective executive level communication.
• Navigate interdependencies between technology, operations and business needs towards the benefits of project succeeding.
• Motivate all stakeholders and gain support to realize your vision.

Qualifications:

• EE/CS major, or other majors with a transcript showing the record of EE/CS requirements accomplished.
• Fresh PhD with no industry work experience.
• GPA from all degrees are 3.8 above out of 5.0 grading scale.
• Strong research publication record from top journals/conferences.
• Honorable advantages, such as top 3 winner of national contests, winner of Best Student, and etc., or with hold of an identity recognized by academia and industry, such as National Scholar, SRC Scholar, Google Scholar, and etc.
• Proven personal qualities of resilience and grit.

Field:

Architecture, Machine Learning, Deep Learning, Software Engineering, Product and Technology

Application:

Please contact Lana Hsu (lana.hsu@mediatek.com) at MediaTek directly with your resume.

Best Buy Digital and Technology teams are working in a hybrid work model. Most roles can be predominantly work from home but the person who fills this role will must be within a commutable distance to the Richfield, MN, Seattle, WA, Atlanta, GA, or Boston, MA offices.

We believe that our company’s success depends on the passion and creativity of our amazing employees. To create environments in which our people can fully thrive, we turn to our guiding behaviors: Be human. Make it real. Think about tomorrow. These set the tone for Best Buy, along with our Rallying Cry: Let’s talk about what’s possible. Our supportive leaders collaborate with their teams through ongoing feedback and two-way dialogue to maintain a culture continual learning. All these factors combine to create an unbeatable experience for both customers and employees. If you like to have fun while you work, build confidence and grow your career, you’ll fit right in.

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.

As an Associate Director, Applied Machine Learning, you’ll take the lead driving research, development, and applications of cutting-edge machine learning and artificial intelligence algorithms across multiple technical teams 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 strategic thinking with your leadership skills, strong software engineering expertise and deep knowledge of ML and AI algorithms to lead technical efforts to architect, develop, and operationalize models, algorithms, and production quality codebases, building the core engines that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.

Join us if you like:

• Leading the design and development of ML solutions as services
• Managing, mentoring and coaching a team of ML Scientists & Engineers leveraging state-of-the-art machine learning and deep learning techniques such as Transformer models with multi-headed self-attention, Bayesian optimization, and Graph Neural Networks and more!
• Applying software engineering skills to lead development and deployment of 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
• Having fun!

Minimum Requirements:

• Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related) or equivalent experience
• Prior experience building, deploying, and serving ML models as resilient, elastically scalable cloud native services
• Extensive machine learning and algorithmic background with expert level 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
• 8 years of experience building ML and/or AI driven products or other similar related functions (e.g. software engineering, data science, advanced analytics). Advanced degrees in relevant fields may be counted towards experience requirements.
• 3 years of experience managing a team of machine learning scientists and engineers
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
• Strong software design and implementation skills with a general-purpose programming language (e.g. Scala, Swift, C++/C#, Java, Haskell, etc)

Preferred Qualifications:

• Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related)
• Experience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, Keras, PyTorch, MXNet or ONNX
• Experience with one or more CI/CD, MLOps, DataOps and Orchestration platforms like KubeFlow, Prefect, Apache Airflow, MLFlow, Spark, Luigi, or Argo for end-to-end model building, training, serving and monitoring
• Experience building & deploying ML products over GCP and/or AWS
• Strong functional programming development skills
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Open source contributions or GitHub portfolio

Best Buy Digital and Technology teams are working in a hybrid work model. Most roles can be predominantly work from home but the person who fills this role will must be within a commutable distance to the Richfield, MN, Seattle, WA, Atlanta, GA, or Boston, MA offices.

We believe that our company’s success depends on the passion and creativity of our amazing employees. To create environments in which our people can fully thrive, we turn to our guiding behaviors: Be human. Make it real. Think about tomorrow. These set the tone for Best Buy, along with our Rallying Cry: Let’s talk about what’s possible. Our supportive leaders collaborate with their teams through ongoing feedback and two-way dialogue to maintain a culture continual learning. All these factors combine to create an unbeatable experience for both customers and employees. If you like to have fun while you work, build confidence and grow your career, you’ll fit right in.

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.

As an Associate Director, Applied Machine Learning, you’ll take the lead driving research, development, and applications of cutting-edge machine learning and artificial intelligence algorithms across multiple technical teams 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 strategic thinking with your leadership skills, strong software engineering expertise and deep knowledge of ML and AI algorithms to lead technical efforts to architect, develop, and operationalize models, algorithms, and production quality codebases, building the core engines that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.

Join us if you like:

• Leading the design and development of ML products & services for personalization and recommendation domains
• Managing, mentoring and coaching a team of ML Scientists & Engineers leveraging state-of-the-art machine learning and deep learning techniques such as Transformer models with multi-headed self-attention, Bayesian optimization, and Graph Neural Networks and more!
• Applying software engineering skills to lead development and deployment of 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
• Having fun!

Minimum Requirements:

• Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related) or equivalent experience
• Prior experience building, deploying, and serving ML models as resilient, elastically scalable cloud native services
• Extensive machine learning and algorithmic background with expert level 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
• 8 years of experience building ML and/or AI driven products or other similar related functions (e.g. software engineering, data science, advanced analytics). Advanced degrees in relevant fields may be counted towards experience requirements.
• 3 years of experience managing a team of machine learning scientists and engineers
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
• Strong software design and implementation skills with a general-purpose programming language (e.g. Scala, Swift, C++/C#, Java, Haskell, etc)

Preferred Qualifications:

• Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related)
• Experience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, Keras, PyTorch, MXNet or ONNX
• Experience with one or more CI/CD, MLOps, DataOps and Orchestration platforms like KubeFlow, Prefect, Apache Airflow, MLFlow, Spark, Luigi, or Argo for end-to-end model building, training, serving and monitoring
• Experience building & deploying ML products over GCP and/or AWS
• Strong functional programming development skills
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Open source contributions or GitHub portfolio

Link to apply: https://www.citadel.com/careers/details/quantitative-researcher-phd-full-time-us/

• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Back test and implement trading models and signals in a live trading environment
• Use unconventional data sources to drive innovation
• Conduct research and statistical analysis to build and refine monetization systems for trading signals

• PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field
• Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
• Prior experience working in a data driven research environment
• Experience with NoSQL databases (e.g., MongoDB)
• Experience with distributed computing using MapReduce
• Experience with translating mathematical models and algorithms into code (Python, R or C++)
• Independent research experience
• Ability to manage multiple tasks and thrive in a fast-paced team environment
• Excellent analytical skills, with strong attention to detail
• Strong written and verbal communication skills

About Citadel

Citadel is a global investment firm built around world-class talent, sound risk management, and innovative leading-edge technology. For thirty years, Citadel’s hedge funds have delivered meaningful and measurable results to top-tier investors around the world, including sovereign wealth funds, public institutions, corporate pensions, endowments and foundations.

With an unparalleled ability to identify and execute on great ideas, Citadel’s team of investment professionals, operating from offices including Chicago, New York, San Francisco, London, Hong Kong and Shanghai, deploy capital across all major asset classes, in all major financial markets.

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

Customer Financial Services (CFS) is looking for a talented researcher to join a new AI research team. The core focus of this team is to transform today’s business processes into AI-driven processes. This researcher will help accomplish this goal through collaboration with other researchers to develop and deploy cutting-edge ML algorithms across the organization.  
The team is currently working on computer vision for document scanning and deep learning for natural language processing and time series.

Key Responsibilities

-    Lead cutting-edge research in artificial intelligence and machine learning applications
-    Design and test new analytical methods with a creative blend of theory and practice
-    Develop and test new algorithms/functions to address core subject-matter requirements and customer engagements
-    Initiate and lead research programs spanning multiple areas of strategic importance, guiding and coordinating research staff responsible for specific areas
-    Interacts with business leaders to understand business strategy, conditions, and problem areas
-    Communicate and present research and findings in a precise manner to business leaders and executives
-    Influence decision making based on insight from research projects
-    Consult across all processes at Dell and recommend short-term and long-term solutions
-    Build a research portfolio for short-term and long-term expected business wins built on state-of-the-art and emerging technologies
-    Develop IP for Dell in the form of patents and submit publications to relevant conferences (such as CVPR, NeurIPS, ICCV, ECCV, ICML, ICLR, etc.)
-    Deliver results and presentations in a timely manner and handle projects with a long- term focus
-    Collaborate with groups from academic institutions and teams of business partners
-    Serve as subject-matter analytics expert in presentations to customers and larger audiences
-    Mentor and educate new data scientists with best practices and latest techniques

Requirements

-    CS, Statistics, Physics, Mathematics, Engineering (or related field) education
-    Master’s and PhD students are preferred, however those with Bachelor’s degrees and extensive research experience will be considered

-    Experience contributing to research communities and/or efforts, including publications at conferences and/or patents
-    Experience in experimental design across multiple domains of research
-    Must have exceptional communication skills as you would have to clearly articulate advanced concepts to a wide range of audiences
-    Demonstrated ability to deliver enterprise grade AI/Machine learning solutions for large scale environments
-    GPU programming experience
-    Passion to keep current on emerging technologies in the big data, data science, artificial intelligence and machine learning space
-    Experience with Python, R, Scala, C, C++
-    Ability to prioritize and manage work load on critical projects

Benefits
Our people are the most critical component of our long-term success:

-    Life at Dell means collaborating with dedicated professionals with a passion for technology
-    Our people demonstrate our winning culture through positive and meaningful relationships
-    We invest in our people and offer top notch training that can accelerate your career

Dell is a collective of customer-obsessed, industry-leading visionaries. At our core is a commitment to diversity, sustainability and our communities. We offer unparalleled growth and development opportunities for our team members. We believe that technology is essential for driving human progress, and we’re committed to providing that technology to people and organizations everywhere, so they can transform the way they work and live.
Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race,  religion or belief, national, social or ethnic origin, sex
(including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. 

As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll serve as a technical lead, providing input into machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. 

What you’ll do in the role: 

• Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams

• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment 

• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications

• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 

• Construct optimized data pipelines to feed ML models 

• Use programming languages like Python, Scala, or Java 

• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code 

Basic Qualifications :

• Bachelor’s degree. 

• At least 3 years of experience designing and building data-intensive solutions using distributed computing 

• At least 4 years of experience programming with Python, Scala, or Java

• At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 

• At least 1 year of experience productionizing, monitoring, and maintaining models 

Preferred Qualifications:

• 1+ years of experience building, scaling, and optimizing ML systems

• 1+ years of experience with data gathering and preparation for ML models

• 2+ years of experience developing performant, resilient, and maintainable code

• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

• Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 

• 3+ years of experience with distributed file systems or multi-node database paradigms

• Contributed to open source ML software 

• Authored/co-authored a paper on a ML technique, model, or proof of concept

• 3+ years of experience building production-ready data pipelines that feed ML models 

• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance