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Build and deploy AI-powered software solutions, integrating ML models (PyTorch/TensorFlow) with full-stack development in Python and cloud platforms like Azure.
Develop AI/ML models and algorithms with a Singapore-based tech team, building and refining data-driven solutions using Python.
Build and deploy computer-vision models for Binance’s AI systems, collaborating with engineers on real-world projects during a 3–6 month internship.
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
Internship in AI/ML and quantum computing with a path to full-time work; build models in Python and libraries like TensorFlow/PyTorch.
Build, fine-tune, and benchmark ML models, including quantum-inspired and LLM solutions, while optimizing performance and prototyping new approaches.
Intern researching and implementing AI/ML algorithms for embedded systems and edge devices using C/C++ and Python, with a focus on time-series models.
Build and improve ML models and systems for Zendesk’s AI-driven customer service platform, working across backend and frontend.
Part-time student role building data miners and vision-language models to detect road-rule violations in autonomous-vehicle simulation and fleet data using Python, PySpark, and LLM/VLM pipelines.
An internship developing AI compiler technologies (MLIR) to optimize neural networks for NXP’s edge devices, bridging ML frameworks (PyTorch/TensorFlow) with hardware acceleration.
Founded in 2025, Omnisent is a Munich-based defense technology company developing fully autonomous, Counter-UAS system. We are a small, high-output team from Cambridge, Imperial College, MIT, and BCG united by a…
Responsibilities About the team TikTok Shop is a content e-Commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good…
Develop ML models to identify MEMS gyroscope systems using real-world sensor data and physics-informed techniques in Python/PyTorch.
Build and deploy AI models for contact-center agents, focusing on real-time knowledge retrieval and generative responses using Python and deep learning frameworks.
Build and improve ML models for humanoid robot manipulation, deploying them on real robots in a fast-paced startup.
Designs and builds evaluation systems to measure and improve the quality of Apple’s large language and multimodal AI models, collaborating with researchers and engineers to turn research into production-grade tools.
Develop and fine-tune on-device audio-to-function-calling ML models for automotive partners, owning the end-to-end pipeline from ambiguous specs to production-ready checkpoints.
An undergraduate intern role preparing geospatial datasets and assisting with AI/ML model development for defense and intelligence applications.
Develops AI-driven automotive systems using Python, LLMs, and agentic workflows, deploying scalable services on cloud and Kubernetes for in-vehicle infotainment and safety features.
Build and deploy AI-driven agentic systems and LLM-powered applications using Python, LangChain, and vector databases for automotive infotainment and connected ecosystems.
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