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Lead and build the global Developer Relations function for Nscale's AI infrastructure platform—creating technical content, driving developer adoption, representing the company at events, and scaling the DevRel team from the ground up.
Developer Relations Engineer at Nscale builds and scales programs to engage developers with Nscale’s AI infrastructure platform, focusing on content creation, community growth, and feedback loops to drive adoption of AI workloads.
AI Infra engineer at Alibaba building distributed training architecture for 100B–1T parameter LLM/multimodal models on multi-thousand-GPU clusters. Daily work: performance analysis, 5D parallelism and communication optimization, hand-written CUDA/Triton operators, XLA/MLIR compiler tuning, and framework-level work in PyTorch/Megatron-LM.
Project Overview The project involves the development, enhancement, and maintenance of web applications for a large European public institution. The Full-stack Engineer will be responsible for delivering end-to-end…
The Machine Translation and Multilingual AI team is looking for research interns to explore open problems in speech-to-speech translation: how to build models that let people talk naturally with anyone, in any…
Build and operate ML pipelines for SQC's quantum-enhanced AI system, Watermelon. You will manage data ingestion, training/evaluation workflows, and experiment tracking while benchmarking quantum features against classical baselines using Python, PyTorch/JAX, and orchestration tools like Airflow or Dagster.
Build and deploy machine learning models to automate the calibration of silicon qubits. You will develop systems for drift detection, uncertainty quantification, and sequential optimization using Python, PyTorch/JAX, and Bayesian methods to drive physical hardware operations.
Equity-only founding engineering role at an early-stage startup building and studying AI/foundation models for scientific discovery. Day to day you'd design, train, fine-tune, and evaluate ML models and build training infrastructure and data pipelines, mainly with Python and frameworks like PyTorch, JAX, and TensorFlow.
Senior full-stack developer on-site in Toronto (5 days/week) for an Ontario public-sector client (MNRF-AFFES), placed via Flexstaf IT. Day-to-day work is Java development on Liberty/Spring with an AngularJS front end, Oracle database scripting and design, and accessible (WCAG 2.0 AA) web UIs.
Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and…
Joining NVIDIA's DGX Cloud Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on optimizing efficiency and resiliency of ML workloads, as well as developing…
AI Infrastructure Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge…
Salary: £200-250k base + £200-400k bonus // All experience levels Client: One of the world's top quantitative market makers is expanding its Machine Learning and AI capabilities. Already a market leader, the firm…
Summary: Fantastic opportunity to work at a tech-centric prop trading fund which trades a wide range of financial products, with offices across the globe. Looking for a pragmatic ML Engineer with strong mathematical…
GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep…
NVIDIA is seeking talented engineers to join the TensorRT team and advance high-performance AI inference on NVIDIA GPUs. Our team develops software that accelerates state-of-the-art generative AI models for local and…
Responsibilities: Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities. Required to translate technical systems specifications into working, tested…
Part-time founding voice AI engineer at NameCoach building Euphonia, a pronunciation-intelligence layer for voice AI: fine-tuning G2P/pronunciation models on a proprietary verified-audio dataset, building validation and ranking pipelines, SDK/MCP integrations, and internal AI agents. Stack centers on speech ML (PyTorch/HuggingFace) plus agentic dev tools like Claude Code and Cursor.
