Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design and enhance features for deep learning models, utilizing extensive customer and behavioral datasets.

• Apply model architecture modifications based on insights from recent academic literature (e.g., research from NeurIPS and similar conferences).

• Work collaboratively with client teams to grasp business contexts and convert requirements into technical implementations.

• Improve model training pipelines to ensure efficiency and scalability.

• Record methods, discoveries, and technical choices for knowledge sharing among teams.

• Engage in code reviews and support engineering best practices.

⛳️ Requirements

• Strong expertise in a deep learning framework (e.g., Pytorch, TensorFlow).

• Practical experience in feature engineering for predictive models.

• Robust understanding of machine learning principles (supervised learning, neural network architectures, optimization).

• Capability to read, comprehend, and apply techniques from ML research publications.

• Proficiency in Python within a data science/ML environment.

• Comfortable navigating ambiguous situations and adapting to new tools.

🏝️ Benefits

• 100% employer-covered medical premiums for employees.

• Self-managed paid time off with a minimum time-off requirement.

• Opportunities for professional growth and innovation.