AI Research Engineer

Panasonic • Mountain View, CA

20h

About The Position

Panasonic’s Silicon Valley Lab works at the leading edge of deep learning and collaborates with universities and research centers. The AI Research Engineer will develop physical AI technology, especially for manufacturing, and help take ideas from initial research through prototypes and products. The role contributes to research and development addressing company challenges, with a focus on scalable AI algorithms for varied data types and industrial applications.

Working under the guidance of senior researchers, the engineer designs, experiments with, evaluates, and refines machine-learning models and algorithms throughout the research cycle. The role also supports research proposals, prototypes, and production environments; creates and maintains production-quality code and software libraries; and works with interdisciplinary teams and business divisions to apply AI across company products and processes. The engineer communicates findings through presentations, notebooks, publications, patents, and conference activities, and collaborates with internal and external researchers.

Requirements

• Master’s degree in Computer Science, Computer Engineering, Statistics, Data Science, Applied Math, or a related discipline.
• AI and robotics research experience in academia or industry.
• Familiarity with deep-learning libraries such as PyTorch or TensorFlow.
• Demonstrated research experience through academic projects, publications, patents, or industry innovation activities.
• Good oral and written communication and teamwork skills.
• Experience with general machine-learning libraries and toolkits.
• Experience working in multidisciplinary scientific collaboration.
• Experience with GPUs and high-performance computing systems.
• Excellent programming skills in Python, C++, TensorFlow, PyTorch, or similar languages.
• Internship or work experience with machine learning, deep learning, or reinforcement learning.
• Background in machine-learning techniques for large amounts of noisy or partially missing data, and interest in industrial applications.
• Experience in industry or a research lab working on complex machine-learning problems and engineering workflows.
• Knowledge of machine learning and/or statistics, such as neural networks, deep learning, and reinforcement learning.
• Strong knowledge of algorithm design and proven ability to write machine-learning algorithms from scratch.
• Passion for AI.

Nice To Haves

• Relevant research publications at NeurIPS, ICML, ICLR, or similar conferences.
• Experience with cloud environments and multi-machine setups.

Responsibilities

• Develop effective techniques and infrastructure from initial ideas through running prototypes and products.
• Write code, use machine-learning tools, run experiments, and develop techniques for intelligent industrial applications.
• Partner with teams across the company to implement ideas in products and business processes.
• Conduct research and development addressing the company’s key challenges.
• Design, experiment with, evaluate, and refine machine-learning models and algorithms.
• Research, design, and implement scalable AI algorithms for data such as images, thermal and depth sensor data, LiDAR, acoustic data, graphs, and tables.
• Develop AI strategies for the lab’s applications and support strategic decision-making about scientific problems.
• Work with internal and external collaborators and interdisciplinary research teams, and participate in relevant conferences.
• Present and visualize findings accessibly through presentations and notebooks for company teams and the external scientific community.
• Participate in publication, patent, and conference activities alongside senior research staff.
• Write, test, and maintain production-quality code.
• Architect and implement software libraries that help research improve and scale.
• Understand research papers and implement algorithms from scratch.
• Support the development of research proposals and assist senior researchers with technical content.
• Contribute technical expertise to research initiatives and support transition of research outcomes into prototypes and production environments.

Benefits

• Medical, dental, vision, and prescription plans, plus Health Savings Account and Flexible Spending Account options.
• Voluntary life, accident, critical illness, disability, legal, identity theft, and pet insurance.
• 401(k) retirement savings plan with company matching contributions and immediate vesting.
• Vacation, holidays, personal days, sick leave, volunteer leave, and parental and caregiver leave.
• Tuition reimbursement for job-related courses after six months of service.
• Wellbeing programs and resources, including a Lifestyle Spending Account, EAP, virtual health management, chronic condition support, neurodiversity resources, tobacco cessation, substance abuse support, and life-stage and fertility resources.
• Employee recognition and awards platform, with quarterly and annual recognition.
• Opportunity for an annual performance-based bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level