Join to apply for the Senior Machine Learning Engineer role at Metrea 2 weeks ago Be among the first 25 applicants Company Overview Metrea is a defense company dedicated to translating commercial innovation into solutions for the hardest problems in national security. With deep mission expertise, Metrea focuses on … analytics and synthetic environments to accelerate defense solutions, transforming complex operational challenges into actionable insights. Position Summary We seek an innovative and experienced Machine Learning Engineer to design and implement production-grade ML systems within our Decision Science Laboratory and automated Solution Engine, including synthetic data generators. The role … requires expertise in diverse ML approaches such as signal processing, object detection, RAG systems (with emphasis on secure local deployment), and reinforcement learning. The candidate should have strong software engineering skills, deep ML knowledge, and a passion for operationalizing ML systems in the Defense sector. Role and Responsibilities Design More ❯
implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field. Culture Insight What we are doing is extremely hard. Prima Mente is for great people. … with scalable training frameworks. Experience managing large-scale distributed training across GPUs/TPUs. Background in generative AI, large language models, mechanistic interpretability, or reinforcement learning. Interview Process You will interact with co-founders Ravi and Hannah, before meeting the technical team across a deep dive on your CV More ❯
help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off … require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. … Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family More ❯
