…building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics…

…As a Staff ML Engineer , you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead…

…and user needs through user research and rapid experimentation - be your own technical PM - Track record of building and growing high performing engineering teams…

…real users behave, runs experiments with rigor, and writes code their engineers respect. They optimize for what moves for members, not model sophistication for…

…of industry experience building and shipping production ML systems at scale, with demonstrated staff/senior-staff-level scope and impact. Track record building user…

…beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and…

…to translate behavioral signals and model outputs into durable product surfaces. QUALIFICATIONS - 2+ years of professional software engineering experience (we're open to strong…

…Extensive experience across the full ML lifecycle, including data analysis, feature engineering, iterative model development, rigorous offline and online evaluation, and ongoing monitoring and…

…personalization products, including recommendation systems and ML models * Collaborate with applied scientists and ML engineers to translate business problems into model requirements and convert…

…You will modernize the recommendation system leveraging AI. You will demonstrate a strong command of production level machine learning, experience with solving end-user…

…About the Role We’re looking for a Staff Machine Learning Engineer to lead the design, development, and deployment of large-scale production ML…

…This is an excellent opportunity to join Amazon’s world class technical teams, working with some of the best and brightest engineers, architects and…

…As a valued member of our software engineering division in Seattle, you'll have the opportunity to shape the future of our technology stack…

…years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - Knowledge of ML, NLP…

…The Connections team builds products that make those relationships feel natural, safe, and uniquely “Pinterest.” As a Staff Product Manager for Connections, one of…

…We work closely with the engineering teams to launch our solutions in production. - 3+ years of building machine learning models for business application experience…

…depth in GenAI/ML, trust & safety, content moderation, or responsible AI Strong fluency in AI/ML concepts - including generative models, recommendation systems, multi-modal…

…fine-tuning recommendation models at scale (not just off-the-shelf collaborative filtering) - Experience with sequential recommendation architectures, user behavior modeling, or large-scale…

…real user feedback - including but not limited to: - Prompt engineering - Fine-tuning - Retrieval augmented generation (RAG) - Semantic search - vector database and embedding models - Agent…

…Microsoft AI is building the training infrastructure that powers frontier-scale models and advances research toward humanist superintelligence. As a Member of Technical Staff…

…We work closely with the engineering teams to launch our solutions in production. - 3+ years of building models for business application experience - PhD, or…

…complex technical ideas effectively to diverse audiences, including executives and engineers. PREFERRED QUALIFICATIONS: - Experience with personalization algorithms, recommendation systems, or user behavior modeling. - Familiarity…

…Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model…

…Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model…

…The benefits of our in office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via…