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Staff Data Scientist leading end-to-end applied ML and data science initiatives—modeling, pipelines, deployment, and monitoring—at a vacation rental company, with deep focus on pricing, demand forecasting, and optimization using Python, SQL, and cloud/ML tooling.
The Senior Staff AI Engineer will design and implement agentic frameworks and production-grade AI systems to support software-defined vehicles. The role involves multi-agent orchestration, LLM security, and full-cycle development from prototyping to cloud deployment.
Build and deploy AI safety systems that test and harden frontier models for real-world deployment, using deep learning, distributed systems, and adversarial techniques.
About the role Compensation: £70k–£120k salary (based on years of experience) + equity, based in London, UK. We are hiring a Software Engineer to join Squid as one of our first engineers. You'll work closely with…
Meta empowers millions of businesses to connect with customers and drive real business outcomes. The Business Marketing Technology team builds and scales the platforms and data infrastructure that power marketing…
Alice partners with the world's leading AI labs and GenAI-native companies to help them build safer, more trustworthy models. We're looking for a Sales Development Representative to fuel new customer…
Principal full-stack engineer leading AI-powered content personalization at MSN, building scalable web apps with React/Next.js and optimizing LLM prompts for over 1B users.
Owns AI model evaluations at Box, running rigorous tests, shaping launches, and managing relationships with leading AI providers to power enterprise content workflows.
Founded in 2002, AU10TIX is the global leader in AI-driven identity verification and management, protecting the world's largest brands against advanced fraud. The company's future-proof product portfolio helps…
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our…
Develop, deploy, and optimize machine learning systems using Python and frameworks like TensorFlow or PyTorch. Collaborate with teams to build scalable ML applications and process large datasets for clients.
Build and maintain ML infrastructure for protein-design models, including training systems, inference stacks, and design pipelines, to accelerate research and deployment.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Title : Product Manager, AI Location : Hybrid-New York, Tempe, or San Francisco About Us is the industry’s leading estate planning platform, empowering more than 1,500 wealth management firms to modernize how they talk…
The ML Engineer will productionize NLP, audio, and document models for the Orcrist Intelligence Platform using Kubernetes, Triton, and KServe. The role involves building evaluation pipelines, managing inference infrastructure, and collaborating with research teams to deploy models for defense and enterprise clients.
Lead Data Scientist United States | Remote within GA, LA, OK, TN or TX | Direct Hire The Opportunity A large healthcare organization is seeking an experienced Lead Data Scientist to lead advanced analytics initiatives…
Senior Product Manager owning the strategy for Qualtrics' Core AI Understand layer—turning experience data into structured meaning through ontologies, text analytics, prediction, agent infrastructure, and evaluation systems.
Lead AI/ML initiatives, design and deploy scalable generative models and LLMs, and mentor teams to drive innovation in commercial operations software.
You will define technical strategies and architectures for highly scalable distributed systems. You will design and implement Golang services, optimize Apache Kafka data pipelines, establish AWS usage patterns, and…
Lead the design and development of machine-learning-based perception systems for humanoid robots, focusing on object detection, tracking, and pose estimation for logistics and manufacturing environments.
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