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.
We are seeking an experienced and hands on Tech Leader for our Machine Learning Team. This pivotal role involves the development of our ML framework and platform, develop Machine learning models and support our MLOps…
Entry-level (0-1 years) AI/ML engineer at Rapyder, an AWS Advanced Consulting Partner in Bangalore, designing and deploying end-to-end ML and data platform solutions on AWS services such as SageMaker, Athena, Glue, Lambda, S3, and Kinesis. Hands-on Python is a must; AWS certifications raise the fixed salary.
Lead Machine Learning Engineer developing and deploying ML/DL models for 3D geometric data — point cloud filtering, denoising, registration, and surface reconstruction — moving research methods into production at NavVis (reality capture / digital twin technology) in Munich. Core stack: Python, PyTorch/TensorFlow, and 3D deep learning architectures like PointNet++ and sparse convolutions.
About X, the Moonshot Factory X is a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the…
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed…
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data…
Leads applied machine learning work on J.P. Morgan's GT CDAO team inside the Chief Technology Office, tackling business-critical priorities with ML techniques focused on software, cybersecurity, and technology infrastructure.
Lead engineer on JPMorgan Chase's AI/ML Data Platforms team, building and operating scalable, well-governed ML training systems and GPU pipelines on AWS and Kubernetes (EKS). Day to day: productionizing and optimizing distributed PyTorch/TensorFlow training (including GenAI/LLM fine-tuning), CI/CD, observability, and developer experience.
Senior Data Scientist & ML Engineer at AXA Switzerland in Winterthur who designs, builds and runs a new lead engine and data architecture on Google Cloud Platform. Day to day: developing data pipelines, integrating MongoDB streams, automating tests and CI/CD, delivering API services, and advancing AI agent systems with operations and monitoring.
PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly…
Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer,…
We’re seeking someone to join our team as an AI / Machine Learning Lead to help design, build, and evolve innovative AI and Generative AI solutions that enhance operational efficiency, automation, and business outcomes…
Be an integral part of an agile engineering team that is constantly pushing the boundaries of what is possible across cloud, infrastructure, and AI/ML platforms. As a Senior Lead Software Engineer at JPMorganChase…
Vertical Relevance is seeking an experienced Sr. AI/ML Amazon Agentcore to join our team as a full-time, remote employee. In this role, you will design, build, and deploy scalable data solutions on AWS while…
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Builds and operationalizes deep learning systems that estimate forest structure metrics from satellite/lidar data, fine-tuning geospatial foundation models and integrating them into automated pipelines. Core stack: Python, PyTorch, Airflow, STAC, Docker, and AWS in a remote-first, climate-focused team.
Hands-on research lead at Apple's MLR group directing reinforcement learning and post-training work for agentic AI (tool calling, coding, computer use, long-horizon tasks), while managing a small team of senior researchers and running experiments personally. Core focus: synthetic environments/data pipelines, RL infrastructure, and methods suited to Apple's on-device and hybrid cloud deployment.
Technical Lead, Machine Learning at ActAI, a pre-launch AI venture backed by $100M that builds AI-agent-powered productivity apps (starting with email). You'll own production ML infrastructure: LLM fine-tuning (LoRA/QLoRA/SFT/DPO), inference optimization, training/eval pipelines and GPU systems, while mentoring a small ML team. Remote in Europe; cash + equity.
We couldn't check your fit for this role — add a CV to your profile to see it next time.