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The application window is expected to close on: 10/29/2026 This is a hybrid position based out of Cisco's Seattle or San Jose office. Meet the Team The Cisco AI Research team brings together AI researchers, machine…
Senior AI / Machine Learning Engineer — Fraud Detection The Opportunity We are in search of an experienced Senior AI/ML Engineer to develop and broaden fraud and abuse detection systems. You will improve ML techniques…
Join the risk technology team and deliver trusted market-leading technology products in a secure, stable, and scalable way. As an Applied AI/ML Senior Associate within JPMorgan Chase's Corporate Technology-Risk…
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data…
What you get to do in this role We are looking for a Senior Manager of Machine Learning Engineering to lead a team building the next generation of AI Search and Retrieval capabilities that power intelligent experiences…
Senior Technical Recruiter at Together AI who partners with AI Research and Engineering leadership to run full-cycle hiring of researchers, research engineers, and ML systems talent — building pipelines from academia and industry, designing research-specific interview loops, and advising leaders on AI talent markets.
Together AI is hiring a Senior ML Engineer to own the model-serving layer of its Voice AI platform in San Francisco — optimizing real-time speech-to-text, text-to-speech, and speech-to-speech inference on GPUs using engines like TensorRT-LLM and SGLang. Day to day: latency/throughput tuning, streaming audio batching, and building model evaluation frameworks.
Senior AI engineer on Apple's System RF Smart Data Ecosystem team, architecting and deploying internal generative-AI and multi-agent systems that automate hardware engineering tasks and analyze wireless design/manufacturing data. Core stack: Python (async), FastAPI/Flask, agent frameworks (MCP, A2A), and multi-provider LLMs.
Senior ML engineer builds and deploys scalable AI pipelines for materials, chemistry and physical sciences, using PyTorch, cloud infra and production-grade MLOps.
Build and integrate core AI capabilities into a secure enterprise platform, deploying foundation models and optimizing scalable ML systems for reliability and performance.
Senior machine learning engineer at ZipRecruiter who designs, builds, and maintains ML models over huge job-market data (e.g., predicting salaries for job postings), including data cleaning, model evaluation, and hyperparameter/feature tuning. Core tech: ML algorithms, TensorFlow/PyTorch/scikit-learn, deep learning architectures, and NLP libraries like NLTK, SpaCy, and BERT.
Senior Engineering Manager leading Checkr's ML Engineering team in San Francisco (3+ days/week in office), owning ML strategy across product intelligence (NLP, entity resolution), fraud detection, and ML/agent infrastructure for background-check products. Core stack spans Python, AWS/SageMaker, LLM systems, Snowflake, and Spark.
Build and scale AI systems for ASOS Studios that process product imagery and video for millions of shoppers, applying deep learning embeddings, computer vision, and generative AI/LLMs. Day to day: prompt engineering, fine-tuning models, building data pipelines, and applying MLOps (CI/CD, monitoring) in Python.
Trinetix (posted via Internetwork Expert) seeks a Senior Python Developer in Warsaw to build scalable Python applications with AI/LLM integrations, design ML models, and manage ETL pipelines on AWS and Azure for a US client in consulting and finance. Core stack: Python, Pandas, AWS, Azure.
Senior ML engineer on Carbon Mapper's Data Operations team builds and deploys deep learning models for satellite remote-sensing imagery (methane/CO2 plume detection, infrastructure mapping) while ensuring data products meet quality, latency, and cost targets. Core stack: Python scientific stack, PyTorch/TensorFlow, cloud ML pipelines and MLOps.
Senior ML engineer on Apple's Siri Speech Evaluation team who owns the datasets, metrics, and automated judges used to evaluate speech LLMs (ASR, TTS, real-time conversational models) for accuracy, robustness, and conversational quality before they ship. Core stack is Python, large-scale data pipelines (e.g., Spark), and LLM/human evaluation methods.
Senior Machine Learning Engineer at the Dutch Ministry of Defence (Ministerie van Defensie), building data engineering and AI systems for the Army in Utrecht. Day to day you design scalable data pipelines, support data scientists, package AI models into operational applications, and lead junior engineers in an Agile/Scrum team.
Dialpad is hiring a Sr. AI Engineer to embed with its Speech Team, owning production systems that turn speech models and third-party APIs into reliable, low-latency experiences for AI voice agents. Day-to-day work centers on self-hosted ML inference, Python backend services, GCP infrastructure, observability, and rollback-safe model releases.
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking a Senior AI/ML Engineer to help design, build, and operate the infrastructure that powers our next generation of AI-enabled data…
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