them with Echo family devices. Work with stakeholders and partners to define roles and responsibilities. Fundamentally understand Amazon's Neural Edge Engine to invent optimization techniques. Apply principles of Information Theory, Scientific Computing, Deep Learning Theory, and Non-Equilibrium Thermodynamics. Manage teams involved in training (preferably pretraining) Gen AI models. Foster collaboration with the compiler team, fellow applied scientists … and represent Amazon at key ML conferences such as NeurIPS, ICLR, and MLSys. BASIC QUALIFICATIONS 3+ years of experience managing scientists or machine learning engineers. Knowledge of ML, NLP, InformationRetrieval, and Analytics. Knowledge of machine learning approaches and algorithms. PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business applications. Experience building complex software systems More ❯
with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies, like natural language understanding/generation, dialog systems, machine translation, and information retrieval. Experience of developing informationretrieval systems, Fine Tuning for RAG & Direct Preference optimisation Experience of ML Ops environments & platforms The more experience you have of adapting More ❯
experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. As the manager of Applied Science, you are responsible for defining and executing on the science vision. You will lead a team of scientists and engineers to work … at . BASIC QUALIFICATIONS 1+ years of scientists or machine learning engineers management experience 3+ years of building machine learning models for business application experience Knowledge of ML, NLP, InformationRetrieval and Analytics Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management More ❯
to 4 years of hands-on software development covering both front and backend development. We're looking for a software engineer who bring fresh ideas from all areas, including informationretrieval, distributed computing, large-scale system design. Any experience of networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile would be very useful. More ❯
