Senior Machine Learning Scientist

You will be part of the AI Core team, a small and nimble group dedicated to AI innovation, experimental modelling, and scientific validation. The team's goal is to develop highly efficient, adaptable, and effective large models for various general-purpose applications in chemical metrology. To achieve this mission, you will stay up-to-date with AI advancements, such as next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques. **Responsibilities:** - Experiment with advanced architectures like CNNs, RNNs, transformers, autoencoders, etc., suitable for the research objective - Develop training strategies (e.g., self-supervised learning, few-shot learning) - Optimize loss functions and metrics for performance, manage hyperparameter tuning - Optimize training pipelines and debug training failures - Develop reproducible training/evaluation pipelines **Skills:** - Expertise in PyTorch/TensorFlow or other frameworks - Strong Python skills (NumPy, SciPy, scikit-learn) and GPU acceleration (CUDA, cuDNN) - Experience with ML experiment tracking (W&B, MLflow, etc.) - Experience with RL frameworks (Stable Baselines3, Ray RLlib) - Passion for building AI agents with superior capabilities **Qualifications:** - Bachelor's or Master's degree in Data Science, Computer Science, or a related technical field - 8+ years of experience in machine learning and deep learning - Previous roles within AI research teams - Background in chemometrics, spectroscopy, or analytical chemistry is desirable - Advantage: Networks involving very large matrix operations You will be working at Picarro, the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Picarro's solutions are utilized in various applications worldwide, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceuticals, petrochemicals, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Picarro's software and hardware are crafted in Santa Clara, California and are employed in over 90 countries based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology, known for their precision, ease of use, and reliability.,