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Job Description About Us The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive…
Job Description Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, CA three times per week at minimum or other frequency dictated by the…
Staff ML engineer who owns the model-serving layer of Together AI's Voice AI platform — optimizing STT, TTS, and speech-to-speech inference (Whisper, Parakeet, Orpheus, Kokoro) on H100/H200/B200 GPUs with engines like TRT-LLM and SGLang, plus building batching, profiling, and evaluation frameworks. On-site in San Francisco.
Staff Software Engineer on Addepar's Reference Data team in Edinburgh, building and productionizing AI-native products for its wealth/investment platform — architecting LLM pipelines, agentic frameworks, and agent capabilities (MCP, tool use) and hardening them into scalable production services.
Staff-level machine learning engineer at ZipRecruiter who designs, builds, and leads advanced ML projects (e.g., salary prediction) over massive datasets of job postings and job-seeker events, while owning ML system architecture, data pipelines, and mentoring other ML engineers. Core work spans ML algorithms, experimentation, and frameworks like TensorFlow, PyTorch, and scikit-learn.
Senior/Staff ML engineer on Nuro's Online Mapping team, researching and building onboard mapping models and algorithms, data/label management, and training pipelines for Level 4 autonomous vehicles. Day-to-day is hands-on machine learning with real camera/LiDAR data, using Python and deep learning frameworks like PyTorch, plus 3D geometry and cross-team integration.
Designs and deploys ML models to automate high-definition map creation for autonomous driving, using computer vision and generative AI techniques.
Staff ML Engineer/Data Scientist acting as a technical anchor for ZipRecruiter's ML capabilities — designing recommendation, matching, ranking, and retrieval systems for its two-sided job marketplace. Work spans deep learning (PyTorch/TensorFlow), distributed training, A/B testing, low-latency production ML, and mentoring engineers.
O Impacto Você já imaginou ter a oportunidade única de construir uma plataforma de Machine Learning do zero em uma das maiores fintechs do país? Aqui na Neon, nosso desafio não é apenas implementar modelos de dados…
Staff AI/ML engineer on Google's AI Rapid Response Team, embedding with internal teams via short Strike Sprints and 1-6 month Forward Deployed Engineer engagements to attack ML efficiency bottlenecks — writing production C++/Python, optimizing inference serving on TPU/GPU clusters, and building model compression pipelines.
Founding-team Staff Machine Learning Engineer at a well-funded, stealth AI-native productivity startup (starting with email, then notes/tasks/calendar). Own the full model lifecycle: fine-tuning pipelines, evaluation systems, GPU inference infrastructure, and training data pipelines, bridging research and production engineering.
Company: Qualcomm China Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: About the Role Artificial Intelligence is changing the world for the benefit of human beings and…
Senior staff engineer on Google Cloud's ML Training team building ML frameworks to train large language models and stable diffusion models on Cloud TPUs (PyTorch/JAX on GCP/GKE). Day to day: designing and deploying AI framework software, debugging performance and topology issues, and leading technical strategy across the project lifecycle.
Shape the intelligent core of REA’s platform and deliver high-value, reliable AI/ML products at scale. Permanent role based in Melbourne or Sydney We're REA With bold and ambitious goals, REA Group is changing the…
A 12-month research engineer role at University College Dublin's School of Politics and International Relations. The post holder designs and optimises the retrieval/RAG architecture of the EURVISTA platform, evaluates embedding models and LLM output accuracy, and runs daily ETL pipelines ingesting EU legislative data. Core stack: Python, PostgreSQL, OpenSearch/Elasticsearch, PyTorch, Hugging Face,
Nexxa.ai is hiring a Staff DevOps Engineer in Canada to own and operate the infrastructure powering its AI and industrial systems at scale — compute, networking, storage, and deployment for production ML workloads. Core tech: CI/CD pipelines, IaC with Terraform/Pulumi, and Kubernetes with GPU scheduling.
A 12-month research engineer post at University College Dublin's School of Politics and International Relations: lead retrieval, evaluation and ML research for the EURVISTA legislative-data platform — optimising RAG architecture, benchmarking LLM answer accuracy above 90%, and running daily ETL pipelines from EU institution sources using Python, PyTorch, Hugging Face, LangChain, PostgreSQL and Ope
Staff Machine Learning Engineer at Kikoff, a profitable consumer fintech (credit building and lending) in San Francisco. A hands-on IC role owning the ML platform and modeling roadmap end to end — underwriting, fraud/risk, and personalization models — including feature stores, serving, monitoring, and model governance for a regulated lender.
Staff ML engineer in Bangalore building AI-driven applications, agents, and workflow orchestration for marketing and GTM use cases — integrating LLMs, APIs, and data pipelines into cloud-native, event-driven systems using Java/Kotlin/Python/Node.js, React, AWS/Azure/GCP, and Docker/Kubernetes.
Build and optimize ML models (e.g., transformers, diffusion networks) in JAX/PyTorch to accelerate drug discovery research at a mission-driven Alphabet company.
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