Design, train, and evaluate machine learning models across a range of research and applied AI initiatives - Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements - Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-ready systems - Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation - Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation - Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team - Stay current with the latest developments in ML and AI research, and proactively identify opportunities to apply them - This position may require stand-by, on-call, or off-hours duties during critical research or deployment mi lestones **If You've Got It - We Want It** - Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 4+ years of industry or research experience (Master's or PhD a plus) - Deep hands-on experience training and evaluating ML models, including language models - Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow - Familiarity with MLOps tooling and infrastructure (e.g., MLflow, Weights & Biases, Kubeflow, or similar) - Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques - Strong ability to move fast without sacrificing rigor; you know when to prototype and when to productionize - Excellent communication skills with the ability to clearly present experimental results to both technical and non-technical stakeholders #LI-Tag #LI-Remote The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience. Base Salary R nge $185,000 - $215,000 USD **Bring Your Whole Self** Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better.