29 Machine-learning-engineer Jobs in Grafschaft

Machine Learning Engineer (Physical Modeling) locations Schlieren time type Vollzeit posted on Vor 8 Tagen ausgeschrieben time left to apply Enddatum: 6.

We are seeking an Applied Machine Learning Engineer who will help us invent and deliver these new methods and techniques.

Demonstrable experience in audio, text to speech, speech to text technologies Preferred Qualifications Studying for Masters Degree or PhD in Computer Science, Machine

Staefa, Switzerland Deep Learning Engineer We want to grow our AI/ML team to deliver empowering hearing solutions to millions of people worldwide.

Wir suchen dich als: Data & AI Engineer (m/w/d) 100% (Fokus: Platform Engineering & AI Implementierung) Deine Chance: Du bist ein erfahrener Data Engineer, der souverän

Wir suchen dich als: Data & AI Engineer (m/w/d) 100% (Fokus: Platform Engineering & AI Implementierung) Deine Chance: Du bist ein erfahrener Data Engineer, der souverän

We are an applied machine learning team distributed between Zurich in Switzerland and Cupertino in California , searching for a motivated research lead engineer

Solid foundation in applied machine learning, including LLMs and NLP workflows.

Tasks The Principal AI Engineer will define and own the AI technical vision, drive AI strategy, and shape the architecture and technical direction of Sherpany’s

Summary Posted: Sep 02, 2025 Role Number: 200617882-4170 Join Apple’s Generative AI team in Zurich as a Machine Learning Engineer specializing in foundation model

NICE TO HAVE Knowledge of machine learning frameworks (TensorFlow, PyTorch, etc.) as they relate to embedded deployment.

Vor 15 StundenVor 15 Stunden veröffentlicht

Innovate and iterate on machine learning model training recipes, improving quality and efficiency across the entire model lifecycle.

Vor 3 TagenVor 3 Tagen veröffentlicht

Experience with Graph Mining models, Machine Learning.

You’ll evaluate cutting-edge AI, machine-learning, and sensing technologies—from novel perception to advanced planning—to tackle the toughest real-world deployment

Experience with Graph Mining models, Machine Learning.

You will be working on bringing our machine learning models as features onto our different operating systems.

We are seeking an engineer who is passionate about designing, optimizing, and scaling the infrastructure that enables state-of-the-art machine learning and reinforcement

Your Contributions Exploring, developing, and implementing cutting-edge technological advancements in robotics, machine learning, planning and control Identifying

Develop and apply state-of-the-art machine learning techniques, including transformers, graph neural networks, self-supervised learning, and generative AI.

Our data processing and machine learning pipeline is implemented using Python, so proficient knowledge of this language is a requirement, as well as a proven track