Software Engineer, Machine Learning
New York, NY
USD 218K-240K (estimate) Entry-level Full Time Found 8d ago
Tasks
- Adapt machine learning techniques for parallel computing environments
- Analyze requirements and system bottlenecks
- Collaborate with engineering team on code delivery
- Design and test algorithms for social data prediction
- Develop efficient solutions leveraging big data and AI
- Implement scalable deep learning models
- Research and develop system software
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithm Development | Big Data | C# | C++ | Computer Vision | Data Mining | Data Regression | Deep learning | Distributed Systems | Emacs | GPU | Git | HBase | Hadoop | Haskell | Java | Language Processing | MXNet | MapReduce | Natural Language | Natural Language Processing | Optimization | PHP | Parallel Computing | Perforce | Perl | Pig | Prediction modeling | PyTorch | Python | Recommendation Systems | Rules-based models | SQL | Spark | Subversion | TensorFlow | Vim
Education
Regions
Countries
States
Cities
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