Software Engineer, Machine Learning
New York, NY
USD 219K-240K (estimate) Mid-level Full Time Found 9d ago
Tasks
- Adapt machine learning methods for distributed and parallel environments
- Analyze and synthesize system requirements and bottlenecks
- Code in tandem with engineering team
- Design and test operating systems-level software and algorithms
- Develop scalable systems and tools leveraging deep learning and data models
- Implement efficient solutions using deep learning and state-of-the-art techniques
- Research and develop system software
- Work on ranking, classification, recommendation, and optimization problems
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithms | C# | C++ | Data Mining | Data Structures | Deep learning | Distributed Systems | File Manipulation | Git | Hadoop | Java | Linux | MXNet | PHP | Perl | PyTorch | Python | Recommendation Systems | SQL | Shell Scripts | Spark | Subversion | TensorFlow | Unix
Regions
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Cities
Language: en |
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