Senior Machine Learning Engineer
3 weeks ago
Openings for AI Engineer to join a startup building foundational models.
Responsibilities:
- Design, develop, and evaluate novel machine learning models and algorithms to solve theorem proving and advance logical reasoning in AI.
- Apply various ML techniques, including supervised, unsupervised, and reinforcement learning.
- Work with large datasets to preprocess, clean, and transform data for LLM and NLP model training and evaluation.
- Design and conduct experiments, analyze results, develop metrics, and optimize the performance of language models and other AI-driven tasks.
- Stay up to date with cutting-edge research in natural language processing, large-scale language models, and logical reasoning AI systems.
Requirements:
- Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of experience in machine learning, NLP, or AI fields.
- Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with deep learning architectures and techniques, especially across natural language and large language models.
- Experience with program/code synthesis or models focused on system design generation
- Familiarity with code synthesis or models focused on language generation and understanding.
- Strong track record in applying ML to real-world NLP use cases.
- Contributions to open-source projects in machine learning or AI communities, with a specific focus on natural language models and frameworks
Tell employers what skills you have
TensorFlow
Machine Learning
MongoDB
Engineering Mathematics
Troubleshooting
Natural Language Processing
Architectural
Software Engineering
Agile
PyTorch
System Design
Rapid Prototyping
Python
Writing
Data Science
Debugging
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