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Build and deploy ML models for marketing platforms like search ads, recommendations, and fraud detection to grow customer transactions and lifetime value.
Lead a small team of ML scientists to build and scale AI models for lending products like lines of credit and auto loans, blending hands-on technical work with team leadership.
Build and lead production ML systems for recommendation, ranking, and optimization that serve millions of customers with low latency, while setting technical direction and mentoring engineers.
Salary: $90,000 – $95,000 per year Want to deliver tech with purpose, with people who care? Join us in our mission to create solutions that help keep children safe online. Who are we? Headquartered in Perth, Australia,…
Build and deploy ML models and agentic AI systems to automate scheduling and workforce management for shift workers, using Python, LLMs, and cloud services.
Build and maintain AI/ML platforms that power BlackRock’s financial software, integrating cutting-edge AI into enterprise-scale systems for global investors.
Build and maintain a skills taxonomy and data migration plan for a federal client, using ML/AI to analyze HR data and integrate systems.
Develop and deploy AI/ML models for secure geospatial and intelligence systems, building scalable pipelines and APIs in AWS while collaborating with data scientists and engineers.
Build and deploy LLM-based AI agents and NLP systems for a new fintech product, including prompt engineering, RAG, and agent orchestration with LangGraph and MCP.
DevOps engineer builds and secures ML/AI pipelines, automates CI/CD for software and data-science teams, and manages on-premise GPU infrastructure with DevSecOps/MLSecOps practices.
Research and develop deep learning models for autonomous vehicle systems, optimizing neural networks for Mobileye’s EyeQ chip and deploying production-ready AI solutions.
Design and optimize secure network infrastructure for the U.S. Army’s AI/ML modernization initiative, ensuring high-performance, scalable, and compliant systems.
A leading AI company in Redwood City, CA, is seeking a Solutions Engineer with deep knowledge in ML and AI platforms. The position involves supporting customers, analyzing data needs, and designing scalable solutions…
Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy. At…
Job Title: AI/ML & Data Ingestion Engineer Location: Bay Area, CA Job Type: Founding Level SWE, Full Time, 3 days onsite Salary: Founders-level equity and $200K-$250K Job ID: 7335 AI/ML & Data Ingestion Engineer -…
Senior AI/ML Engineer (LLM & Generative AI) Remote Position: Senior AI/ML Engineer to support and building cutting-edge AI solutions that advance biomedical research and scientific discovery. You'll work with: Large…
Builds and deploys advanced ML models (e.g., neural retrieval, clustering, ranking) to personalize Google Search and Discover, optimizing user engagement at global scale with realtime systems.
Builds ML-driven solutions for Apple’s global supply chain, optimizing fulfillment and fraud detection by designing, deploying, and maintaining data pipelines and real-time decision systems in Python.
Build and optimize real-time computer-vision models for autonomous systems, focusing on detection, tracking, and deployment on embedded devices like Jetson and ARM64.
Build and maintain ML pipelines in Vertex AI and pioneer GenAI features like RAG and embeddings to power analytics and AI apps across the company.
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