Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build ML pipelines to extract and tag rare driving scenarios from petabytes of truck sensor data, enabling safer autonomous trucking through structured scenario libraries.
AI/ML Engineer Contract End Date: 3/31/27 Remote Position Overview: We are seeking a Senior AI/ML Engineer with strong hands-on experience designing, building, evaluating, and deploying production-grade AI/ML and…
Senior ML engineer builds and optimizes AI-driven feature pipelines and model training systems for a deep-learning ad platform, using Python, Spark, Kafka, and PyTorch.
Leads a team of AI/ML specialists to drive Snowflake’s Cortex AI and ML product adoption, bridging field/customer insights with product roadmap decisions to maximize customer outcomes and platform value.
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,…
Senior Computer Vision Engineer at Scandit in Zurich builds and deploys real-world video-based action recognition models for retail automation, leading end-to-end ML pipelines from data annotation to production deployment.
The Senior AI/ML NPU Validation Engineer will develop and execute software validation strategies for AMD's AIE and NPU technologies. The role involves using C/C++ and Python to test complex DSP/ML algorithms and collaborating with cross-functional teams to ensure high-quality software releases.
Senior Machine Learning Researcher at RTB House in Warsaw designing and implementing deep learning models to predict user behavior for ad-buying engines in a global AdTech company.
Senior Machine Learning Engineer at RTB House builds and optimizes deep-learning ad-buying systems and ML infrastructure that serve billions of ad views monthly using Python/C++/Scala, PyTorch/TensorFlow, and GCP.
The Senior ML Engineer will design and operate production-grade AI and LLM systems for equity research, working within a hybrid team at CNBC to build scalable financial data products. The role involves end-to-end ownership of ML pipelines, model training, and inference infrastructure.
A Senior ML Engineer improves a search-based Q&A platform by developing ranking features, optimizing retrieval, and addressing challenges like semantic gaps and data sparsity using modern IR and NLP techniques.
Develops AI-driven search platforms for enterprise question-answering, integrating LLMs with traditional search/relevance tech to improve conversational search systems for millions of users.
Build and productionise ML pipelines, tooling, and data workflows for sports betting analytics and trading systems using Python and modern ML libraries.
Leads hardware design and optimization for AWS cloud-scale ML acceleration platforms (e.g., Inferentia), focusing on static timing analysis to improve performance, cost, and reliability at massive scale.
Designs and deploys AI/ML solutions (including generative AI, agentic systems, and RAG) for Disney’s immersive digital experiences, focusing on scalability, reliability, and Responsible AI frameworks.
Owns ML products end-to-end, from problem definition to production deployment and impact measurement, focusing on canonical data, entity resolution, retrieval/ranking, and applied LLMs for career transition tools.
Senior ML Engineer builds and deploys enterprise-scale AI systems for Disney’s guest experiences, focusing on LLMs, agentic workflows, and MLOps pipelines.
Senior AI/ML Engineer designing, developing, deploying, and supporting scalable ML solutions—including LLM and agentic workflow use cases—in cloud environments with production-grade MLOps practices for a healthcare system.
The Senior Deep Learning Engineer will design and build evaluation infrastructure for NVIDIA's frontier AI models, including LLMs and agentic systems. This role involves developing novel benchmarking methodologies and collaborating with research teams to guide model releases using large-scale GPU clusters.
The Senior Manager of Applied Field Engineering leads a team of specialists to drive adoption of Snowflake's AI/ML product portfolio, including Cortex AI and agentic workflows. This role bridges the gap between customer field experiences and product development to influence roadmaps while managing team performance and technical strategy.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
