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Engineer on Apple's internal AI & Data Platforms team, designing and building scalable, distributed data systems and cloud-database services that power analytics and embed generative AI capabilities across Apple. Day-to-day spans full-lifecycle development in Python/Scala/Java with Snowflake/BigQuery and REST APIs.
Senior Machine Learning Engineer role at bol.com EN, based in Utrecht.
Senior engineer building AI/ML features for Google Workspace apps (Gmail, Docs, Drive, Calendar, Sheets, Vids, Meet): writing and testing production code, designing ML solutions, and leveraging ML infrastructure in collaboration with Google DeepMind. Core technologies are Python or C++ and large-scale ML systems.
Backend Python Developer role at a fast-growing Dutch mobility-solutions company with a data-driven product portfolio. Day to day you build backend systems while also working with AI, ML and data engineering in a close-knit startup-culture team, with a growth path toward CTO level.
Python Software Engineer in Utrecht working in an agile team on challenging software development and implementation projects, including innovative features and incident resolution. Core tech: Python, Agile Scrum, and NoSQL solutions.
A three-month onsite machine learning internship at Cantina's Singapore research lab (starting Oct 2026 or Jan 2027), where interns own a well-defined research or engineering project on video generation models — such as reward modeling, post-training/inference efficiency, multimodal data systems, or scalable training infrastructure — mentored by a senior researcher, with potential conference submi
Builds and integrates generative AI/ML models into Apple Intelligence production systems for key international markets, owning pipeline components from data preprocessing through evaluation and deployment. Core stack is Python plus C/C++/Objective-C/Swift, with applied NLP, agentic systems, and RAG.
Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of…
Bosch Group is hiring an AI/ML Engineer with 4–6 years of experience in Telangana, India, to build end-to-end ML and GenAI systems — RAG pipelines, LLM applications, and MLOps — deployed on Azure, GCP, or AWS, alongside data engineering (ETL with BigQuery, Databricks, Azure Data Factory) and BI dashboards.
A Senior ML Engineer builds a new B2B personalization capability from scratch — exploring behavioral and operational data, prototyping models (clustering, embeddings, propensity, recommendations), and validating business impact in controlled environments. Core stack is Python and SQL, with generative AI/LLMs and experimentation frameworks as key ingredients.
Designs, optimizes, and deploys large language models to run efficiently on SambaNova’s custom RDU hardware, guiding hardware-software co-design and production integration.
Machine Learning Scientist on the Science team of an MIT Media Lab spin-off pioneering emotion recognition from facial expressions. Day to day: applying supervised/semi-supervised ML and deep learning (CNNs, transfer learning) to large real-world face datasets, prototyping new emotion-sensing methods, and contributing to the in-market SDK.
Senior NLP Engineer in Boston building a healthcare NLP/ML platform that replaces manual processes with software-driven clinical reasoning for payers and providers. Day-to-day work centers on NLP and machine-learning development, with strong Java programming plus Linux, Python, Bash, SQL, and JavaScript tooling.
An NLP/Machine Learning Engineer designs and implements components of an advanced NLP pipeline, tuning models and selecting solutions with product management within an agile scrum team. Core stack includes Java, plus Linux, Python, Bash, SQL, and JavaScript, with experience across NLP/ML toolsets.
Mid-level applied research engineer in Boston building recruiting-oriented AI: designing, implementing, and testing machine learning, computational linguistics, graph analytics, and predictive models, primarily in Java. Requires 3+ years of research engineering experience and a Master's in CS or a related field; reports to the Head of AI.
A mid-to-senior full-stack developer joins a small Machine Learning Platform team at the Kendall Square HQ to build an internal ML platform for data analysts, gradually moving business analytics to ML-based, real-time, high-throughput operations. Work spans the full lifecycle and full stack: frontend JavaScript/CSS (Angular/Vue), backend services (Java/PHP/Python/Ruby), and relational databases/SQ
Machine learning engineer building NLP systems that help customers understand contracts, working with structured and unstructured data to design large-scale cloud-based ML systems. Day-to-day is Python ML work (TensorFlow/Keras, pandas, scikit-learn), backend data pipelines, and close collaboration with product and UX in a small team reporting to the CTO.
Neara is hiring a Senior ML/MLOps Platform Engineer in Sydney to build and run the training pipelines, CI/CD, GPU infrastructure, and model serving/monitoring that keep its ML models reliable in production. The role centers on Python, PyTorch, distributed GPU training, Kubernetes/Docker, and cloud (AWS/GCP/Azure) to deploy multi-modal spatial digital-twin models for utility customers.
Research intern designing ML models to analyze market data and inform trading strategies in equities, futures, and options.
Research intern in Amsterdam and London building ML models to analyze market data and inform trading strategies for a global quantitative firm.
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