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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 “Lead Machine Learning Engineer - ML Infrastructure”. A match may be a passing mention rather than the job itself. Titles only.
65 roles across 69 listings · show every listing · page 1 of 3
…VPC, on-prem, or a dedicated single-tenant environment RESPONSIBILITIES - Lead complex, ambiguous engineering initiatives from problem definition and technical design through implementation, launch…
…Join us! The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on…
P-1439 As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and…
…and leading high-performing teams - Experience building data quality systems, labeling pipelines, or annotation platforms at scale - Familiarity with modern ML infrastructure and data…
…those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the…
…Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of…
…machine learning, natural language processing, and ML systems. As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering…
…Demonstrated interest in technology sales, with a strong interest AI and machine learning - Excellent communication and interpersonal skills; able to engage confidently with technical…
…We work with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to build the most performant and low-latency self-driving solution…
…You will partner with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and…
…Research Engineering (Machine Learning), London We are looking for Research Engineers with different levels of experience - Mid through to Senior, Staff, Principal or equivalent…
…We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we…
…Join us! Why this role? As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data…
…We’re looking for engineers who understand the entire system — from hardware to UI — and are inspired by building the connective layers that make…
…distributed systems, cloud-native infrastructure, and machine learning platforms. You’ll partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions…
…learned representations. You Might Thrive in This Role If You Have - Proven experience leading high-performance teams of researchers or engineers in ML infrastructure…
…Working alongside embedded and application security engineers, you will establish security controls spanning silicon hardware, embedded systems, POSIX system, networks, and cloud infrastructure for…
…Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing…
…As a Staff Engineer, you will operate at the intersection of Product development and Machine Learning. Responsibilities include gaining a deep understanding of user…
…for an ML Software Engineer to join our Online Mapping team. We are searching for an engineer with robotics and machine learning expertise to…
Machine Learning Engineer - LLMs & Generative AI Truveta is the world’s first health provider led data platform with a vision of Saving Lives with…
…and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation…
…Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs…
…Experience with Google Cloud Platform (GCP) Experience supporting machine learning cloud infrastructure Experience with GitHub Actions Strong foundations in software engineering before moving into…
…platforms, ML training infrastructure, or developer tooling — ideally for robotics, autonomy, or defense applications. - Experience with reinforcement learning frameworks and/or simulation engines. - Proficiency…