Job Location: Mountain View, CA
Panasonic – AI Research Engineer
Every moment of every day, people all over the world turn to Panasonic to make their lives simpler, more enjoyable, more productive and more secure. Since our founding almost a century ago, we’ve been committed to improving peoples’ lives and making the world a better place–one customer, one business, one innovative leap at a time. Come join our journey.
Click here to learn more about how Panasonic is creating a better life, a better world.
Watch this video to see how our employees are shaping the technologies that move us.
What You’ll Get to Do:
- Develop effective techniques and infrastructure, from the initial idea to the running prototype and product
- Similar to a research environment, you will write code, use the latest machine learning tools, run experiments, and generally develop techniques and processes to enable intelligent abilities on industrial applications
- Partner with teams across the company to implement your ideas into their products
- Remain connected to the broader research community by partnering with internal and external collaborators and participate in relevant conferences
- Work on fundamental research to provide essential solutions to problems facing the company
- Present findings in an accessible way to teams across the company and external science community
- Visualize and explain work through presentations and notebooks
- Work with other teams including business division to accelerate AI application in company-wide business processes
- Publish research findings in leading academic venues and represent our company at the external conferences
- Write, test and maintain production-quality code
- Design, experiment and evaluate models
- Research, design and implement novel, highly scalable Deep Learning algorithms with focus on various kinds of data including image thermal depth sensor, Lidar, acoustic, graphs, tables, and more.
- Strategy development for the field of DL with focus on our lab’s applications, support in strategic decision making with regard to various science problem
- Promote the research results through scholarly publications and presentations at leading conferences
- Lead or participate in the development of related research proposals
- Promote collaborative research with interdisciplinary research team
- Digest and understand complex research papers, theory and thinking, with an ability to write algorithms from scratch
- Own, report and present engineering developments to our internal and external collaborators clearly and efficiently in verbally and in writing
- Architect and implement software libraries to allow our research to improve and scale
- Implement and evaluate algorithms by owning the development and iteration throughout the research cycle
- Provide high quality code through the use of Python or C++ and presenting programming knowledge to a research group
What You’ll Bring:
Education & Experience:
- MS or PhD in Computer Science, Computer Engineering, Statistics, Data Science, Applied Math or related discipline
- DL research experience with large datasets in academia or industry
- Familiarity with deep learning libraries such as PyTorch, TensorFlow, etc.
- Strong track records in the machine learning perception, including patents, publications to top tier conferences and journals
- Good oral and written communication and teamwork skills
- Worked with general ML libraries and toolkits
- Experience with vision, perception, generative modeling GAN’s.
- Experience working in multidisciplinary scientific collaboration
- Experience with accelerators GPU and high-performance computing systems
- Excellent programming skills in Python, C++, Tensorflow, PyTorch or similar languages
- Internships or work experience with machine learning, deep learning, reinforcement learning
- Background in machine learning techniques with large amounts of noisy or partially missing data, curiosity in applying it to industrial applications
- Relevant research experience from publications at NeurIPS, ICML, ICLR or similar are preferred.
- Experience with cloud environments and multi-machine setups
- Proven experience, either in industry or a research lab, working on complex ML problems and engineering workflows
- Strong knowledge and experience of Python, C++, or a combination of both.
- Proven knowledge of machine learning or statistics. Examples include Neural Nets, Deep Learning, Reinforcement Learning etc.
- Strong knowledge of algorithm design – with a proven ability to write ML algorithms from scratch
- A passion for AI
What We Offer:
- Competitive compensation package
- Comprehensive benefits
- Pet Insurance
- Paid Parental Care Leave
- Employee Referral Program
- Educational Assistance
- Flexible Work Program
- Volunteer time Off
- Casual Dress Code
- Total Well Being Program
Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Corporation of North America.
Submit CV To All Data Science Job Consultants Across United States For Free
