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.
Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals,…
Overview Atlassian is looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. We build AI-native experiences, agentic systems, models, evaluation frameworks, and data…
Overview Atlassian is looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. Our team builds the intelligent experiences, agentic systems, models, evaluation frameworks, and…
Overview Working at Atlassian Atlassians can choose where they work, whether in an office, from home, or a combination of the two, giving them the flexibility to balance business responsibilities and support their…
Senior ML Engineer on Vibe.co's Data Platform team, building identity-resolution systems that turn billions of streaming-TV ad events into coherent users/households for targeting, measurement, and model training. Day-to-day is ML, clustering, and statistical modeling at petabyte scale using tools like Dagster, Spark, and Iceberg, in a hybrid Paris setup.
Senior ML Engineer doing applied modeling on the Empower Healthcare platform: designing features and targets, training and rigorously evaluating supervised models on messy real-world clinical tabular data, with backend partners handling deployment. Core stack is Python, scikit-learn-style pipelines, and SQL/Snowflake.
Senior engineer blending machine learning and backend development to build scalable, production-grade services for AI/ML products. Day to day: cloud-native infrastructure with Docker, Kubernetes, and AWS, plus model work in PyTorch/TensorFlow using Python, Go, and .NET. Pays $180k-$200k, no equity, remote-friendly with an Austin base.
Senior ML Engineer building reusable ML libraries and infrastructure for utility clients — forecasting, demand response, grid-sensor toolkits, and a Rust/Python building-energy simulation engine, much of it open source. Fully remote role with a teammate cluster in Seattle.
Senior machine learning engineer to help Polyaxon build its cloud-native ML automation platform: scaling experimentation, parallel jobs, and hyperparameter tuning with Docker, Kubernetes, and cloud-native tools. Strong software engineering across Python, Go, and TypeScript, plus ML frameworks like TensorFlow and PyTorch.
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…
Build and deploy production-grade AI systems, including LLMs and agentic workflows, from data pipelines to model fine-tuning and deployment.
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…
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in Canada. We are a custom product engineering company that supports both multinational organizations and…
Job Description Our Artificial Intelligence and Machine Learning (AI/ML) capabilities are critical accelerators of our mission to invent new medicines that save and improve lives. Core to the Data, AI, and Genome…
Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams,…
Job Family Group: IT&S Group Job Description: bpx energy, a major oil and gas producer in the United States, demonstrates its expertise in unconventional gas, including shale, to deliver hydrocarbon production and…
Senior ML Engineer at Fleet Space Technologies building and deploying machine learning models and infrastructure for satellite-enabled mineral exploration: taking research models to production, owning ML/data pipelines, GPU environments, and the MLflow experiment platform. Core stack: Python, AWS, Databricks, Terraform, MLflow.
We couldn't check your fit for this role — add a CV to your profile to see it next time.