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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.
220 roles across 239 listings · show every listing · page 1 of 9
…Key job responsibilities - Use machine learning, deep learning, LLMs and Agentic AI techniques to create scalable solutions for business problems - Analyze and extract relevant…
…ML engineering, AI platforms, model infrastructure, cloud platforms, solution architecture, or startup technical engagement. Strong understanding of generative AI, deep learning, machine learning, model…
…AI, or machine learning company Working knowledge of the infrastructure and platform talent landscape, including where strong large-scale ML training and systems infrastructure…
…scale; statistical anomaly detection and applied machine learning beyond LLMs; vector stores and retrieval; LLM cost engineering. Experience passing external audit, SOC 2, or…
…NICE TO HAVE - Experience with AI infrastructure, LLM serving, or machine learning platforms. - Experience with model routing, inference gateways, or policy-based serving systems…
…Experience building production LLM or machine-learning systems, including context engineering, retrieval, tool use, orchestration, and evaluation. Preferred qualifications: Strong programming ability, preferably including…
…machine learning concepts, model evaluation, or ML infrastructure Experience building developer experience platforms, internal tooling, or API gateways Familiarity with observability tooling for AI…
…Evaluate system performance and resolve bottlenecks Provide technical guidance and mentorship to junior developers Collaborate with architects, QA, product owners, security and operations engineers…
…To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes…
…for building teams and developing engineering talent. NICE TO HAVE - Experience with AI infrastructure, LLM serving, or machine learning platforms. - Experience working with multiple…
…You'll work closely with senior scientists and engineers, contributing to model development, evaluation, and optimization. Key job responsibilities * Implement machine learning models (classical…
…In this role, you will design, build, and own machine learning systems that detect abuse patterns, classify threats, and automate enforcement across sensitive datasets…
…challenges of deploying machine learning in production environments (evaluations, etc.). You're not just a scientist or just an engineer—you're a builder…
…AI/ML technology (e.g. multi-agent analytics system, agentic knowledge representation and management, graph neural networks, reinforcement learning, causal inference, optimization, and LLM…
…engineering as well as machine learning standpoint. Requirements: Experience: more than 9 years in software, with 1+ year focused on LLM/Generative AI systems…
…Lead the integration of AI technologies into existing systems, utilizing Natural Language Processing (NLP) and Machine Learning (ML) frameworks to enhance client onboarding processes…
…to evaluate and clean foundational data sources (like CMDB) to ensure high-accuracy AI retrieval performance. Develop a framework for prompt engineering, Automated Test…
…Connect our capabilities directly to enterprise frameworks like Zero Trust, Post-Quantum transition roadmaps, and secure AI-agent identity infrastructure. Machine-Readable Content Architecture…
…We build machine learning (ML) technologies that scale to all Siri languages. You will have the opportunity to innovate with large-scale AI models…
…the usage of advanced Machine Learning (ML) technologies, significant user-facing changes, revamping our evaluation framework and more.AI will change the future of…
…Retrieval and Machine Learning systems, including embedding-based search, ranking algorithms, and natural language query understanding. Define and implement rigorous evaluation frameworks and success…
…QUALIFICATIONS: - - 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments. - Hands…
…leveraging simple AI tools (e.g., LLM integrations, basic machine learning models for defect detection, or data automation scripts) to solve engineering problems and…
…Spark), orchestration (Airflow, Prefect), formats (Parquet, JSONL, WARC), and object-store / data-lake architectures. - Familiarity with how LLMs are trained and evaluated, and an…
…Consultant Machine Learning & Knowledge Graph Engineer , you will play a pivotal role in advancing our AI and ML capabilities and creating Enterprise wide KG…