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Become a Machine Learning Backend Engineer at Layer 6, addressing real-world ML issues through innovative backend solutions and API design. In this role, you will significantly impact the development of machine…
An AI/ML internship focused on developing multi-agent systems, agentic coding tools, and ML models for trading infrastructure. Core work involves building agent orchestration, deploying ML models, and optimizing MLOps pipelines in a fintech environment.
Build and deploy AI models that monitor vehicle health in real time using logs, traces, and sensor data, then optimize them to run on resource-constrained edge devices.
Develops and applies advanced ML sequence models to DNA/genetic data to uncover disease associations and accelerate drug discovery in biotech.
About Us: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering…
Salary: £75,000 - 100,000 per year Requirements: Current hands-on experience developing Spiking Neural Networks. Strong C++ programming and software engineering skills. Knowledge of machine vision, image analysis or…
Optimizes and scales cloud-based ML training/inference infrastructure, automates pipelines, and ensures model reproducibility for Pathway’s post-transformer AI models.
Senior Computer Vision Engineer at Scandit in Zurich builds and deploys real-world video-based action recognition models for retail automation, leading end-to-end ML pipelines from data annotation to production deployment.
Develops and optimizes computer vision algorithms and video processing pipelines for defence tech products in an office-based role in Lviv, Ukraine.
The Senior AI/ML NPU Validation Engineer will develop and execute software validation strategies for AMD's AIE and NPU technologies. The role involves using C/C++ and Python to test complex DSP/ML algorithms and collaborating with cross-functional teams to ensure high-quality software releases.
Design and develop high-speed optical transceivers and systems to scale Google's TPU/GPU superpods and data center infrastructure using photonic and ML techniques.
Postdoctoral researcher developing machine learning and acoustic signal processing methods for wildlife bioacoustics, including representation learning and active learning, with duties spanning research, publishing, and co-supervising students.
This postdoctoral role at Universiteit Leiden involves conducting research on causal machine learning for spatiotemporal datasets and developing frameworks for intervention assessment. The position also includes teaching responsibilities, student supervision, and publishing research findings.
This postdoctoral position at Universiteit Leiden focuses on developing causal machine learning frameworks for spatio-temporal datasets. The role involves conducting research, collaborating with academic groups, publishing findings, and contributing to teaching and student supervision.
A postdoctoral researcher applying machine learning to wildlife bioacoustics, analyzing sound sequences, developing acoustic signal processing methods, and conducting research on representation learning and category discovery.
ML Engineer building MLOps systems to deploy data science solutions into production at scale, using Python, Airflow, Apache Spark, and Azure across supply chain and retail projects.
Senior Machine Learning Researcher at RTB House in Warsaw designing and implementing deep learning models to predict user behavior for ad-buying engines in a global AdTech company.
Senior Machine Learning Engineer at RTB House builds and optimizes deep-learning ad-buying systems and ML infrastructure that serve billions of ad views monthly using Python/C++/Scala, PyTorch/TensorFlow, and GCP.
Machine Learning Engineer building high-fidelity digital twins for reinforcement learning simulations to enable real-time factory planning and manufacturing optimization, based in Berlin.
Design and build memory architectures for AI models to store, retrieve, and exploit long-horizon experience across modalities using Python and PyTorch.
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