• Research, design, implement, and fine-tune machine learning models, including deep learning architectures, to be included in or to advance our platform.
• Compile/pre-process datasets for training purposes
• Extract meaningful features from data through feature engineering to improve model performance
• Extend and develop the organizations existing ML libraries and proprietary frameworks
• Collaborate with R&D and systems software engineering teams
• Promote and adhere to MLOps best practices within the organization
• Ensure production intent code is properly documented and tested
• Stay up to date on latest AI trends and research papers

• Proven experience as a Machine Learning Engineer or similar role
• Batchelor's (Master's prefered) in Computer Science, Machine Learning, Data Science, or a related field
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python (Rust, C/C , Cuda, or MPS experience a plus)
• Expertise in data preprocessing, feature engineering, and model evaluation technique
• Experience working with Tensorflow and/or PyTorch along with scikit-learn, numpy, pandas, and opencv
• Experience with cloud computing platforms and model deployment techniques using Docker containerization
• Experience with MLOps tools like, MLFlow, KubeFlow, Airflow or similar
• Passionate about learning
• Strong verbal and written communication skills

Benefits:

• Competitive salary
• Comprehensive health, dental, and vision benefits package.
• Flexible work week
• Free parking, for in-office employees
• Unlimited PTO
• Parental, Bereavement Leave