Sr Staff Machine Learning Engineer, Display Lab

San Jose, California, United States

Applications have closed

Samsung Semiconductor, Inc.

Samsung provides innovative semiconductor solutions, including DRAM, SSD, processors, image sensors with a wide-ranging portfolio of trending technologies.

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Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. 

We believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

What You'll Do

Samsung Display America Lab is looking for a machine-learning engineer who will have the opportunity to work with cutting-edge technologies for future generations of display systems and devices. As a machine-learning engineer, you will help to build the next generation of machine learning systems by designing novel algorithms to solve computer vision and machine learning problems.

Location: Onsite at our San Jose office/headquarters 5 days a week OR Hybrid, working onsite at our San Jose office/headquarters 3 days per week with the flexibility to work remotely the remainder of your time. 

  • Participate in cutting edge research in machine learning and computer vision applications.
  • Apply expert software development skills to a wide range of ML-related coding projects
  • Develop solutions for real world problems
  • Participate in and initiate the publication of research results in top tier conferences and journals

 

What You Bring

  • BS degree plus 15 years of experience, MS degree plus 13 years of experience, or PhD plus 10 years of experience in Computer Science, Computer Engineering or a related technical discipline.
  • 5+ years of experience in software development with machine learning and/or computer vision
  • Expertise and experience in computer vision (feature extraction, segmentation, color, shape and texture analysis, object detection). Specific computer vision skills in object detection, and classification is plus.
  • Expertise and experience in learning algorithms (multi-class classifications, decision trees, support vector machines and deep learning)
  • Excellent programming skills in C, C++, Python
  • Prior working experience in OpenCV, Scikit-learn, and deep learning frameworks (Tensorflow, Pytorch, Keras and/or Mxnet).

 

Preferred Skills

    • PhD degree in Computer Science, Computer Engineering or a related technical discipline
    • 3+ years of experience applying machine learning to solving real-world problems
    • Experience in adapting standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
    • Experience implementing and optimizing image processing/computer vision algorithms.

 

What We Offer
An investment in your future, is an investment in ours. That’s why we offer a diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to competitive compensation and the usual Medical/Dental/Vision/401k, our inclusive curation of benefits empower our people to care for their whole selves.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and an errand service.
Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.

Covid-19 Policy
To help keep our employees, customers, and communities safe, we’ve developed guidelines for our teams. Currently, we encourage vaccination for all employees, and may require it depending on job functions (e.g., traveling for business, meeting with customers). While visiting our offices or attending team events, we ask employees to complete a daily health questionnaire and complete a weekly COVID test. Our COVID policies are subject to change depending on public health, regulatory and business circumstances. 

Equal Opportunity Employment Policy
Samsung Semiconductor is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Classification Computer Science Computer Vision Deep Learning Engineering GPU Keras Machine Learning MXNet OpenCV PhD Python PyTorch Research Scikit-learn TensorFlow

Perks/benefits: 401(k) matching Career development Competitive pay Conferences Fertility benefits Fitness / gym Flex hours Flex vacation Health care Medical leave Startup environment Team events Wellness

Region: North America
Country: United States

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