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Tower Research Capital is hiring an AI/ML intern based in Gurugram, open to students graduating in 2027 or 2028. The posting gives no details on day-to-day work beyond that the role centers on AI/machine learning.
AfterQuery, a San Francisco applied AI research lab serving frontier foundation-model labs, is hiring AI/ML research interns to work with its research team on advanced reasoning, computer use, and agentic models. Interns design experiments, analyze proprietary datasets, and may co-author papers; commitment is 10-40 hours per week on-site.
Time period Starting immediately for a period of 6 months Tasks Analysis and processing of vehicle measurement data for data-driven modeling approaches Development and validation of surrogate models for thermal vehicle…
Description Skyworks Solutions is seeking an AI/ML Summer Intern to join our enterprise AI/ML engineering team. This is a hands-on, full-time engineering role in which you will help design, build, and deploy machine…
Are you excited to contribute to world-class research in artificial intelligence with real impact on national security? The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory has over 50…
Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$518 billion (US$401b, €350b, £304b, RMB2.77t) as at 31 March 2026. Our Purpose “ So Every Generation Prospers ” guides…
A 10-week Summer 2027 IT internship at Corning in Charlotte, NC: the intern builds and maintains data pipelines with Python, SQL, and PySpark, supports Databricks and cloud data engineering, and creates dashboards to power manufacturing analytics and AI/ML initiatives.
Entry-level (0–2 yrs) Machine Learning Engineer at Corning in Monterrey, Mexico, building, deploying, and maintaining end-to-end ML pipelines for manufacturing use cases. Core stack: Python with scikit-learn/TensorFlow/PyTorch, plus MLOps tooling (Databricks, MLflow, Docker, Kubernetes, CI/CD); hybrid with at least 2 onsite days per week.
Corning is hiring a Summer 2027 AI/ML intern in Wilmington, NC to work on optical fiber and cable manufacturing projects. The 10-week onsite role involves analyzing manufacturing, sensor, and machine-vision data and building AI/ML, statistical, and visualization solutions using tools like Python, SQL, and Power BI.
Early-career geoscientist (new grad to ~5 years) at Halliburton's Landmark software unit in Krakow, building and testing AI/ML research algorithms and proof-of-concepts for subsurface interpretation and reservoir products used by energy companies. Core stack: Python plus Decision Space Geoscience/Petrophysics and other Landmark software, on cloud-native SaaS and on-prem platforms.
Engineering intern on CNH Industrial's Soil & Crop Modeling team in New Holland, PA. The intern prepares and runs CFD simulations of combine cleaning/residue systems, post-processes simulation data, and builds machine-learning surrogate models to support harvesting equipment design. Core tech: CFD software, machine learning, DEM/MBD simulation.
A Machine Learning Developer at SAP's Montreal office designs and builds backend services, APIs, and data pipelines that power large-scale AI and LLM infrastructure. Day-to-day work uses Go, Java, or Python alongside Kafka, Postgres, HANA, gRPC, and CI/CD in a hybrid team environment.
Company: Qualcomm Canada ULC Job Area: Interns Group, Interns Group > Interim Engineering Intern - Systems Qualcomm Overview: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid…
Introduction Join our Signaling Testing Division in Munich (Germany) at the earliest possible date. Tasks Support building and setting up new development tools and infrastructure utilizing knowledge in continuous…
The ESA National Graduate Trainee (NGT) Programmes offer recent Master’s graduates the opportunity to gain practical, hands-on experience at ESA across a range of space-related disciplines. The programmes are…
Research and develop ML models for autonomous-vehicle prediction and planning using large-scale datasets and frameworks like PyTorch.
Systems SDE at AWS's Annapurna Labs building low-level, performance-critical C/C++ software that moves KV cache and activations between accelerators for disaggregated LLM inference over AWS's high-speed network fabric. Day to day: profiling workloads, finding bottlenecks, and tuning data paths toward hardware limits; prior AI/ML experience not required.
Develops the AWS Neuron SDK to accelerate deep learning and GenAI workloads on Amazon's custom ML hardware. The role involves building ML compilers, runtimes, and high-performance kernels, optimizing LLM inference performance across the stack from PyTorch/JAX down to the hardware-software boundary.
Career Category College Job Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with…
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