…data-driven decision-making across the company with teams spanning Analytics, Data Science & Machine Learning, Analytics Enablement, and Data Platform. As the Senior Staff…

…5+ years of backend or data infrastructure experience, operating at a Senior, Staff, or Principal level. Engineering Excellence: Deep, expert-level proficiency in systems…

…By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise…

…machine learning models or developing algorithms for business application experience - Experience with theory and practice of information retrieval, data science, machine learning and data…

…owning the technical engagement and ultimate success around healthcare implementation projects; defining implementation architectures across compute, data, and machine learning for clinical and administrative…

…of ML models — from data collection and labeling strategy to training, evaluation, and deployment • Mentor junior scientists and engineers; contribute to a culture of…

…leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused…

…and PyTorch (or JAX), with the engineering depth to build and scale training pipelines, evaluation infrastructure, and data synthesis workflows yourself — not just direct…

…Join us and help redefine what's possible. 🚀 ClickUp is seeking a talented and experienced Senior Search Engineer to join our team and help…

…Scientists, Research Scientists, and Machine Learning Engineers. - Architect and scale multi-agent systems - Partner with Product, Engineering, and senior leadership (including S-team) to…

…You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams…

…Machine learning is the core of how these products work. Our models decide who gets credit, how much, and under what terms. They underwrite…

…Prior experience as a Staff, Principal, or equivalent senior technical leader in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, or Cloud Operations. #LI-Hybrid…

…As a Staff ML Scientist on the Proactive Communications & Notifications team at Hinge Health, you'll own the machine learning that decides what message…

…Ability to evaluate test data, identify anomalies, assess risk, make sound engineering decisions during off-nominal situations, and develop recovery plans for flight hardware…

…Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own…

…scale, with demonstrated staff/senior-staff-level scope and impact. Track record building user or audience understanding systems - embeddings, representation learning, identity resolution, or…

…a senior technical individual contributor, partnering closely with autonomy, machine learning, backend, and product teams to extract insights from complex, real-world data generated…

…Hands-on expertise in machine learning and deep learning for science or physics, including model architecture design, training at scale, fine-tuning, and evaluation…

…PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience. A research background of 3+ years in synthetic data generation…

…3+ years of experience as an Engineering Manager, leading teams of 5+ engineers including senior individual contributors Experience managing data infrastructure or platform teams…

…As a Senior Staff Engineer, you will lead the technical direction for AI-first experiences, including ranking and relevance systems that sit at the…

…with engineering-led suppliers. We are hiring across multiple levels. Early-career GSMs will own a focused portfolio under mentorship; senior and staff GSMs…

…model lifecycle, data readiness, and model evaluation frameworks - Experience in building and driving adoption of new tools - Knowledge of machine learning approaches and algorithms…

…speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you…