Senior Machine Learning Scientist (401080)
Mountain View, CA
Applications have closed
Samsung Research America
For more than 70 years, Samsung has been at the forefront of innovation. Our discoveries, inventions and breakthrough products have helped shape the history of the digital revolution. We continue to expand our global reach and open new...Title: Senior Machine Learning Scientist (401080)
Company: Samsung Research America (SRA)
Lab: Think Tank Team
Location: 665 Clyde Avenue, Mountain View, CA 94043
**No immigration visa sponsorship is available for this position**
Job Description:
- Apply knowledge/understanding of basics in signal processing, algorithms, etc.
- Expertise in machine learning methods, including SVMs, logistic regression, boosting, decision trees, clustering, and HMMs.
- Expertise in machine learning and deep learning areas: TensorFlow, Caffe, Scikit-Learn, Scipy, Pandas, and Torch.
- Translate simulations and ideas from research papers into practical functioning implementations.
- Improve and contribute beyond current state-of-the-art literature in vision/learning to develop next-generation products and experiences.
- Advanced software development coding in Python, Java or C/C++. Design and implement machine learning techniques in image recognition and speech recognition in performant software across all levels of the ML stack including GPU and CUDA environments.
- Solve problems using optimization, dimensionality reduction, compress sensing, computational imaging, applied mathematics or related areas to perform advanced simulation or design new algorithms in numerical environments using Matlab, Python, Julia, etc.
- Mentor other members of the team including interns.
Minimum Education & Experience Requirements:
- Master’s degree in Computer Science, Computer Engineering, Computer Vision, a related field, or a foreign equivalent, plus 2 years of post-baccalaureate experience in machine learning or artificial intelligence.
- Experience must include the following machine learning and deep learning areas:
- TensorFlow/PyTorch, Scikit-Learn, Scipy, and Numpy;
- Machine learning methods, including SVM, regression, clustering, Conditional Random Fields/Markov Random Fields;
- CV libraries, including OpenCV;
- Computer languages/environments, including Python C/C++, or Java;
- Performant software in computer vision / machine learning including vectorization, parallelization, in CPU/GPU systems;
- Computer Vision or Machine Learning or Deep Learning algorithms/models suited towards real-time applications including smartphones or low computational devices;
- Signal processing from sensor data;
- Optimization, computational imaging, and applied mathematics;
- Machine learning functions including differentiable operations, loss functions, and creation of neural network architectures.
#LI-DNI
Additional Information
Work Hours
Incumbent must make themselves available during core business hours.
Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms.
EEO Statement
Samsung is committed to encouraging a diverse workplace and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
If you have a disability or special need that requires accommodation, please let us know.
All your information will be kept confidential according to EEO guidelines.
Tags: Architecture ASR C++ Caffe Clustering Computer Science Computer Vision CUDA Deep Learning Engineering GPU Julia Machine Learning Mathematics Matlab NumPy OpenCV Pandas Python PyTorch Research Scikit-learn SciPy TensorFlow
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