Machine Learning Engineer

The core technology relies on fusing spectral signatures with visual and multi-sensor data to classify materials and drive precision recycling. As a Spectral ML Engineer , you will own the core classification models and build the online learning system that selects the most informative shot locations on physical materials. What You Will Do Spectral Preprocessing: Own baseline correction, normalization, denoising, and derivative extraction. Core Classification: Develop and optimize models spanning chemometrics baselines, 1D CNNs, and transformer architectures. Online Learning & Decision Layer: Build, deploy, and monitor sleeping and contextual multi-armed bandit policies (e.g., UCB, Thompson Sampling) to choose optimal measurement locations under dynamic arm availability, delayed/noisy rewards, and drift. Multimodal Sensor Fusion: Integrate 1D spectral data with visual and real-time streaming sensor inputs into cohesive, production-grade multimodal architectures. Evaluation & Production: Establish rigorous offline/online evaluation frameworks and regret monitoring pipelines to push algorithms directly to physical machinery in production. Requirements Education: PhD or Postdoc in Physics, Astrophysics, Materials Science, or a related quantitative field. Experience: 0–4 years post-PhD experience (new grads accepted) focused on spectroscopy, signal processing, or applied ML with spectral data. Technical Mastery: Strong Python and PyTorch proficiency. Bandits & Online Learning: Practical experience implementing bandit algorithms (UCB, Thompson sampling, sleeping/contextual bandits) and handling classification under severe class imbalance. Physics Depth: Strong foundational understanding of spectral physics and 1D sensor signal processing, rather than purely high-level applied ML. Nice to Have Spectroscopy or chemometrics experience with LIBS, Raman, NIR, or hyperspectral datasets. Hands-on experience deploying contextual bandits or reinforcement learning in live production environments. Familiarity with streaming systems, sensor fusion, and industrial measurement hardware. #J-18808-Ljbffr Brahma Consulting Group