Software Engineer, Machine Learning
Tasks
- Adapt machine learning methods for parallel environments
- Analyze system requirements and bottlenecks
- Collaborate with engineering team on code deliverables
- Design and test software for social data and prediction
- Develop scalable systems and algorithms
- Implement efficient deep learning solutions
- Research and develop operating systems-level software
- Work on classification and optimization problems
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithms | Availability | C++ | Code editors | Consistency | Data Structures | Distributed Systems | Git | HBase | Hadoop | Java | Linux | MXNet | MapReduce | Performance optimization | PyTorch | Python | Recommendation Systems | Relational databases | SQL | Sharding | Shell Scripting | Spark | TensorFlow | Unix
Education
Bachelor's Degree | Internship | Research project | Thesis | University-level course
Regions
Countries
States
Cities
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