Engineer, Applied Machine Learning
Samsung Research America
·
Posted:
August 16, 2023
·
Onsite
About the position
The job overview for this position is that the Think Tank Team is seeking individuals with a passion for bringing new technologies and experiences to life. As a machine learning expert, you will work with a small interdisciplinary team to develop ideas into new business opportunities for Samsung. This role involves conducting cutting-edge research, developing novel algorithms, and collaborating with researchers and engineers to create new product concepts and core technologies. The ideal candidate should have a strong background in machine learning, experience leading project teams, and the ability to rapidly prototype custom solutions.
Responsibilities
- Conduct cutting-edge research in machine intelligence and machine learning applications
- Leverage expertise from ML research and develop novel predictive models/algorithms
- Develop solutions and algorithms that can be applied in a variety of real-world applications and devices
- Work closely with researchers and engineers from a variety of disciplines to develop new algorithms, product concepts, and core technologies that will bring new business opportunities to Samsung
- Contribute to the generation of patentable ideas
Requirements
- Bachelor's or Master's Degree in Computer Science, Engineering, or related field or equivalent combination of education, training, and experience
- 7+ years of professional experience in Machine Learning or Artificial Intelligence in real-world settings
- Experience leading project teams, managing and overseeing the work of others, while actively participating in the execution of tasks
- Experience in research mentorship and setting technical direction
- Ability to rapidly prototype and go beyond using the standard libraries to build custom solutions
- Strong understanding of mathematics, statistics, and algorithms
- Strong C++ and Python skills
- Experience with current state-of-the-art methods from machine learning & deep learning frameworks and libraries such as PyTorch/TorchScript, TensorFlow/TensorFlow Lite, Caffe, SciPy, and OpenCV
- Experience with one or more of the following: Computer Vision, Natural Language Processing, Reinforcement Learning, Graph Neural Networks, Model Optimization/Deployment, Transfer Learning, etc.
Benefits
- Comprehensive compensation package
- Annual bonus eligibility
- Generous benefits
- Base pay range of $161,000-$221,100 USD
- Motivating and engaging total rewards programs