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.
POSITION SUMMARY As an Associate Software Developer, Machine Learning, your primary focus will be enabling the development of open-source tools, including a flagship product that results in strong outcomes for all…
Freelance contract role auditing machine learning tasks used to train and evaluate AI systems: assessing tasks for technical accuracy, reproducibility, and solvability, and giving feedback on data pipeline flaws, training inefficiencies, and algorithmic logic errors. Core requirements are professional ML experience (PyTorch/TensorFlow) and strong analytical skills. Pays $70-100/hour, fully remote
A freelance machine learning engineer trains and evaluates advanced AI models by solving applied ML tasks, designing benchmarks, and improving datasets for next-generation language models.
Build and evolve auction, bidding, and pacing systems for Reddit's ads marketplace as a Senior IC4 ML Engineer. Design optimization algorithms that balance advertiser performance, user experience, and marketplace efficiency, owning systems end-to-end from problem formulation through production deployment and iteration. Core technologies include Python/Java/Go, Spark, Kafka, and large-scale real-ti
Lead the technical strategy for Reddit's Ads ML Platform, building infrastructure and tooling that accelerates the full ML engineer lifecycle—from feature development and training data pipelines to offline experimentation and production model deployment—at large scale.
Build and scale ML platforms for Reddit’s Ads team, including distributed training, experiment tracking, and agentic AI workflows to accelerate model development and deployment.
At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth…
Machine learning evaluation engineer on Apple's Channel Sales AI team who designs and builds scalable evaluation frameworks, datasets, metrics, and tooling (including LLM-as-a-Judge and human-in-the-loop methods) to measure and improve LLM, Generative AI, Conversational AI, and Agentic AI products across Apple's Commerce domain.
ML Engineer POSITION DETAILS Department: Engineering Reports To: Engineering Manager, Infra Lead Location: Remote, US | [Pacific / Mountain time zone preferred] Employment: Full-time ABOUT VIBRANT PLANET We are a team…
Builds AI-driven robotics systems for physical-world automation (food, mining, transport) by designing and deploying ML models (LLMs, GNNs, deep learning) for real-world control, prediction, and optimization in production environments.
Build and maintain ML infrastructure for data scientists and engineers, including classical ML and GenAI tooling, using Python/Java and cloud platforms like Azure/GCP.
Builds and deploys AI models for autonomous transport platforms, focusing on robotics, sensor fusion, and edge deployment to turn real-world driving data into reliable vehicle control.
Builds AI models for autonomous transport robots, focusing on trajectory planning, multimodal perception, and edge deployment for real-world industrial use.
Build and scale distributed GPU training infrastructure for autonomous transport models using Kubernetes, MLOps tools, and high-throughput data pipelines.
Build and deploy AI models (LLMs, GNNs, deep learning) for robotics and logistics in food and other industries, turning physical operations into scalable, automated systems.
Build and maintain ML infrastructure for data scientists and engineers, including classical ML and GenAI tooling, on Azure and GCP using Python/Java and Kubernetes.
Build and deploy AI models for autonomous transport robots, integrating perception, planning, and edge optimization in real-world industrial settings.
Build and deploy AI models for autonomous transport robots, integrating perception, planning, and edge deployment in real-world industrial settings.
Build and scale the distributed GPU training infrastructure and MLOps platform that powers Atoms’ autonomous transport models, using Kubernetes, Ray, and MLflow.
Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON)…
We couldn't check your fit for this role — add a CV to your profile to see it next time.