Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Machine Learning Engineer - AI Evaluation & LLM Systems”. A match may be a passing mention rather than the job itself. Titles only.
98 roles across 113 listings · show every listing · page 1 of 4
…of machine learning and large language model fundamentals Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and…
…experience. • Experience with machine learning algorithms and concepts (e.g., supervised learning, unsupervised learning, deep learning) as applied to generative AI. • 2+ years of…
…eval engineering — not just familiarity, but a portfolio of evaluation suites designed, shipped, and used to drive quality decisions in production AI systems Cost…
…Familiarity with AI-assisted tools, machine learning technologies, Large Language Models (LLMs), GitHub Copilot, or related productivity technologies. Experience evaluating, adopting, or supporting new…
…Ensure platform architecture supports secure access for analytics, machine learning, and AI workloads. Cross-Functional Collaboration Partner with application engineering, analytics engineering, data science…
…Language Models (LLMs) workflows. Solve technically tests problems that exceed the scope of a generalist Software Engineers, specifically around optimizing Generative AI performance across…
…Experience with machine learning and experiment design principles. Experience with recommender systems.
…5 years of experience working with large language models (LLMs). 2 years of experience developing and training machine learning models. Experience with Agentic integrations…
…Experience building AI and machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM…
…As a Machine Learning Engineer, you will build reliable, scalable systems that support the development, evaluation, deployment, and operation of these AI capabilities. You…
…which includes AI safety, data residency, integration with existing systems. Familiarity with AI, machine learning, large language models (LLMs), or AI agents. Understand the…
…AI Agents, Machine Learning, Large Language Models (LLMs), or prompt engineering. Experience building and integrating backend services, APIs, or working with distributed systems. Experience…
…As a Staff Machine Learning Engineer and Tech Lead Manager in Google Display Ads, you will lead the team powering generative retrieval, and LLM…
…time LLM and ML solutions, and lead a cross-functional team. If you are interested in machine learning, bandit learning, building production systems, and…
…in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl…
…with Principal Engineers, SDMs, and Principal Scientists, identifying dependencies, scaling factors, boundary conditions, and risks across horizontal distributed systems serving AI inference at global…
…in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl…
…engineers, and product managers to define and frame business problems as ML or optimization tasks. - Use machine learning, deep learning, LLMs and Agentic AI…
…AI-driven solutions. — Implement retrieval-augmented generation (RAG) pipelines, prompt engineering strategies, agentic workflows, evaluation frameworks, and guardrails for LLM-based systems. Leverages AI…
…As Lead Machine Learning Engineer on the Digital Intelligence team, you will be collaborating with a high-caliber team of software developers and deep…
…detection. Engineering Mindset: A drive to build systematic, automated fixes rather than applying temporary patches. Strong grasp of CI/CD for machine learning pipelines…
…mastery across various AI/ML domains, specifically: reasoning and open-ended learning framework design for scientific hypothesis generation and evaluation; large-scale pretraining, fine…
…Experience developing AI/ML systems at scale in production or in high-impact research environments. Experience with LLM training/fine-tuning. Experience with vector…
…all business systems. By combining ServiceNow’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for…
…machine learning package (e.g., Keras, PyTorch, HF Transformers). Experience in applied AI, with building systems around pre-trained models (e.g., prompt engineering…