Speech Analysis Researcher
software research and engineering | Palo Alto, CA | Full Time
Speech Analysis Researcher with strong signal processing background and in-depth knowledge of statistics and related mathematical disciplines.
About the Job
We seek a talented researcher in speech analysis with a strong intellect and desire to tackle fundamental problems with an impact on the real world and the scientific community. The candidate should have a strong signal processing background and in-depth knowledge of statistics and related mathematical disciplines. He/She should also have experience in developing practical algorithms for speech-related applications. Problems of current interest include modeling speech cues to reveal speaker intent and extracting the structure of conversations and speech cues to enhance language understanding. Creative thinking and ability to propose new directions of innovative research is highly desirable.
The successful candidate will be an essential part of the CHAT (Conversational Human-Agent Technology) group, a new, exciting effort in the Intelligent Systems Lab at PARC focusing on everything around conversation: from understanding and modeling how humans communicate to developing engaging artificial conversational agents. Such problems require knowledge and understanding of social sciences as well as broad knowledge of artificial intelligence, machine learning, and signal processing. Our team is multi-disciplinary and allows for collaboration among researchers in a variety of fields as well as leading faculty.
- Expressing mathematically or algorithmically real-world problems
- Building prototypes that can be used and evaluated by non-expert users
- Publishing scientific results in leading conferences in the field
- Patenting invented technology
- Communicating with business units to understand problems and explain solutions
- Ph.D. in Speech Analysis or related field
- Strong signal processing and mathematical background
- Thorough understanding of optimization techniques such as dynamic programming, local methods (gradient descent), sampling, convex programming
- Ability to model; i.e. understand a problem and express it mathematically providing for robust optimization and suitability for practical systems
- Strong programming skills
- Strong communication and writing skills
- Creativity in problem solving
- Drive to make an impact on the real world
Experience (depending on the seniority of the applicant)
- Speech recognition and keyword spotting techniques
- Speech analysis and/or synthesis methods
- Graphical models (LDA, MRF's, etc), and other statistical or energy-based techniques
- Demonstrated experience in formulating objective criteria to capture constraints of a problem and ability to optimize them
- Implementation of statistical models and machine learning algorithms going beyond off-the-shelf methods
- Programming Java, Python, C/C++
We offer a very competitive salary package and full benefits (medical, dental, vision, life & disability insurance, 401K). PARC employees enjoy the use of onsite health & fitness center and collegial dining at our onsite cafeteria. The PARC campus is in a spacious modern building in close proximity to the resources and opportunities of Silicon Valley and benefits from nearby leading universities such as Stanford and Berkeley. It is also close to many amenities, top schools, and outdoor activities (see http://www.parc.com/about/culture.html). PARC provides a highly diverse environment and is proud to be an equal opportunity employer (see http://www.parc.com/about/careers/).
PARC, a Xerox company, is in the Business of Breakthroughs®. Practicing open innovation, we provide custom R&D services, technology, expertise, best practices, and intellectual property to Fortune 500 and Global 1000 companies, startups, and government agencies and partners. We create new business options, accelerate time to market, augment internal capabilities, and reduce risk for our clients.
Since its inception, PARC has pioneered many technology platforms – from the Ethernet and laser printing to the GUI and ubiquitous computing – and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients' businesses.
PARC is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. People with disabilities who need a reasonable accommodation to apply or compete for employment with Xerox should contact PARC Human Resources.