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Machine Learning Engineer
Develop and implement AI models that efficiently process vast amounts of documents.
Hawthorne, California, United States
Mid-Level
$160,000 - 220,000 USD / year
2 weeks ago
✨ About The Role
- The Machine Learning Engineer will be responsible for developing, implementing, and maintaining AI solutions related to vision, language, and other modalities.
- Responsibilities include designing and developing novel models that combine information from vision and language models.
- The role involves researching advancements in multimodal machine learning and evaluating model performance to identify areas for improvement.
- Candidates will collaborate with cross-functional teams to develop APIs and assist in deploying trained models to production environments.
- Maintaining detailed documentation of model designs, implementation, experiments, and results is crucial for knowledge sharing.
âš¡ Requirements
- A Master's and/or PhD degree in Computer Science, Machine Learning, or a related field is essential for this role.
- Candidates should have at least 2 years of professional experience in Machine Learning, demonstrating a solid understanding of machine learning fundamentals.
- Strong programming skills in Python, C++, or similar languages are required, along with experience in deep learning frameworks like PyTorch.
- The ideal candidate will thrive in ambiguous environments and possess excellent communication skills to collaborate effectively with team members.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud is preferred, indicating familiarity with model development and deployment.
Machine Learning Engineer
Hawthorne, California, United States
$160,000 - 220,000 USD / year
Software
About Chaos Industries
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