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Job Description
📋 Description Develop and refine features for deep learning models with large datasets Implement model architecture changes from cutting-edge research Collaborate with client teams to translate business needs to tech Optimize training pipelines for efficiency and scalability Document approaches, findings, and decisions for teams Participate in code reviews and uphold engineering standards 🎯 Requirements Strong proficiency with PyTorch or TensorFlow Hands-on feature engineering for predictive models Solid foundation in ML fundamentals (supervised learning, nets) Ability to read and implement techniques from ML research papers Python proficiency for data science/ML Comfortable working in ambiguous environments and unfamiliar tooling 🎁 Benefits 100% employer-paid medical premiums for employees Self-managed PTO with minimum time off requirement Career pathway and recognition for impact Opportunity to collaborate with global experts and open source projects Commitment to diversity, equity, inclusion and belonging Equal opportunity employer
