Job Search

Zoom is looking for a Machine Learning Engineer. In this role, you will be responsible for building state-of-the-art ML models for NLP and LLM use cases, designing and scaling real-time ML services, and ensuring seamless integration of ML services into Zoom products. You should have a Master's degree in Computer Science or related field, 1 year of relevant experience in the field, and expertise in coding with Python, as well as experience in Machine Learning toolkits and cloud services.

Source Technology is looking for a Senior Machine Learning Engineer to work on cutting-edge Generative AI solutions. You will be responsible for developing and deploying LLMs for various applications, fine-tuning them for specific business needs, and driving innovation across the product lifecycle.

1&1 Mail & Media is looking for a (Senior) Machine Learning Engineer to contribute significantly to the digital future of Germany's largest email brands, WEB.DE and GMX. As a Machine Learning Engineer, you will be responsible for the operation and further development of our Machine Learning platform, engaging in tasks from building our internal ML ecosystem to operationalizing and deploying ML models. The ideal candidate has a degree in computer science or a similar field, deep knowledge in Python, and experience with ML frameworks like PyTorch, TensorFlow, or Scikit-Learn, along with MLOps practices.

Dolby is looking for Intern Software Engineers to join their Sydney team. As part of the internship, you'll work on various tech projects, get hands-on experience with Dolby technology, and receive mentoring to prepare for your career. Candidates should be university students with a passion for audio and technology, who are eager to learn and tackle real-world problems.

In Technology Group is looking for a Machine Learning Engineer with expertise in point cloud data processing and 3D spatial modelling. The role involves developing ML algorithms for automating BIM modelling tasks and enhancing Scan2BIM workflows through AI-driven solutions.

Station is looking for a Senior AI/ML Engineer to join their team in Berlin. You will design and scale AI systems that are production-ready, resilient, and built for enterprise use. Your responsibilities will include building and optimizing real-time LLM inference pipelines to support high-volume, low-latency environments, alongside full-stack ML responsibilities such as training, deployment, monitoring, and optimization. Ideal candidates will have an advanced degree in Computer Science, Machine Learning, or Mathematics, with 3-5 years of hands-on experience delivering ML/AI systems into production.

ShareChat is looking for a Principal Machine Learning Engineer to join their innovative AI team. As a key contributor, you will define and execute ML strategies across various domains while developing impressive personalization and recommendation systems for a user base of over 300 million. You will also lead initiatives to enhance platform Trust & Safety, safeguard user experiences in advertising models, and set standards for engineering excellence in machine learning across the organization.

Opus Recruitment Solutions is looking for a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. Your responsibilities include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and deploying and monitoring models in production environments. The ideal candidate should have a Bachelor's or Master's degree in Computer Science, Data Science, or related field, along with 7+ years of professional experience in fraud prevention or credit scoring, and expertise in machine learning algorithms, frameworks, and data engineering.

Expansion is looking for a Machine Learning Engineer to play a key role in building and enhancing AI-powered features for their leadership development platform. You will develop intelligent, scalable AI-driven solutions focusing on machine learning, LLMs, and AI automation while collaborating closely with engineers and subject matter experts throughout the development process.

TechNET Immersive is looking for a Senior Machine Learning Engineer to design and implement perception algorithms and tools for synthetic data generation. You will be part of a research-focused team dedicated to best practices in perception systems, generating datasets for experimental purposes, and working closely with professionals from diverse sectors like gaming and automotive technology. Ideal candidates are strong collaborators with advanced degrees and experience in machine learning for computer vision applications.