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Research and build synthetic data pipelines and agent-training frameworks to improve enterprise-grade generative AI agents using post-training and reinforcement learning.
Architect and scale ML infrastructure for game AI systems, focusing on model serving, orchestration, and deployment workflows to move models from experimentation to production reliably.
A senior machine learning engineer at Riot Games builds and deploys ML systems to improve player experience in League of Legends, including personalization, matchmaking, and in-game systems, using applied ML and close collaboration with product and engineering teams.
3-year onsite contract in Hillsboro, OR (local candidates preferred) for a machine learning / computer vision engineer. Day to day: building and validating CV models in Python and PyTorch across areas like image classification/detection, embeddings and similarity search, few-shot/self-supervised learning, and MLOps on large, messy datasets.
Builds control-plane and health-management software for Google's TPU AI infrastructure: designing hardware-telemetry-based diagnostics, failure-detection analytics, and repair workflows integrated with TPU clusters and Google Cloud. Core stack is Go with distributed systems work, plus C/C++.
Engineer on Google's Ember team builds scalable ML infrastructure and applies reinforcement learning and multi-objective optimization to deliver a personalized, queryless visual feed for Google Images, owning the end-to-end ML lifecycle from data gathering to production rollout. Core stack: Python, C++, and large-scale ML systems.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s…
Build and fine-tune open-source LLMs and agentic AI systems for Lyft’s Safety and Customer Care team, turning support interactions into safe, scalable solutions using LangGraph and post-training methods.
Machine Learning Engineer on Lyft's Marketplace Fulfillment team, designing and deploying real-time ML systems for rider offers, driver matching, and ride-state tracking. Work spans feature pipelines, model training, and serving infrastructure on Lyft's ML platform, using Python/Golang and TensorFlow/PyTorch in a hybrid New York office.
Senior ML Engineer at Pinterest builds deep learning/machine learning models to personalize the product across surfaces like Homefeed, Ads, Growth, Shopping, and Search, with a focus on candidate retrieval and rapid experimentation. Core tech: Python, Java, recommender systems, NLP, and distributed/GPU training environments.
Builds and improves deep learning models that personalize Pinterest across Homefeed, Related Products, Search, and ads delivery, while leveraging LLMs for content understanding. Day-to-day involves experimentation with recommender systems using Python, Java, Go, TensorFlow, PyTorch, and Hadoop/Spark data pipelines. Full-time telecommuting is permitted.
Build and deploy machine learning models to personalize Qualtrics’ platform using AI, working with scalable services and collaborating across teams.
Machine Learning Engineer at Blissway, a startup building toll-collection and highway-safety technology. You own the full CV pipeline end to end—dataset curation, training, deployment, and monitoring—shipping detection, segmentation, and re-identification models that process 11M images/day across cloud and roadside edge hardware, mostly in Python and TypeScript.
Sarvam AI is hiring full-time, on-site engineers for its AI/ML & Foundational Models team in Bengaluru and Delhi, working on the company's core AI/foundation model technology.
Senior ML Engineer to technically lead the first cycle of CI&T's B2B personalization capability: exploring behavioral/commercial data of enterprise accounts, building clustering, embedding, and propensity/recommendation models, shipping sandbox prototypes, and designing experiments (A/B, causal inference, uplift) to prove impact. Core stack: Python, advanced SQL, data pipelines, LLMs/agentic AI (M
NT Concepts is hiring a Machine Learning Engineer (active TS/SCI required) in Chantilly/Vienna, VA to take computer vision models from research prototypes to production for national security missions — building MLOps pipelines, training deep learning models in Python/PyTorch, and deploying containerized services in secure cloud environments.
Machine Learning Engineer II on Pinterest's Responsible AI team, building fairness interventions, bias mitigation, and ethical AI safeguards for large-scale recommender systems and generative AI.
Designs and implements AI-driven marketplace systems to optimize ad delivery, auction mechanisms, and long-term value for Pinterest’s users and advertisers using large-scale backend and statistical models.
Lead a hybrid team of ML and backend engineers to build privacy-preserving conversion visibility systems for Pinterest’s ads marketplace, integrating modeling, data pipelines, and serving infrastructure.
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