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 and deploy ML models for federal cybersecurity programs, ensuring compliance and mission-critical outcomes.
Build and deploy machine learning models for search, AI features, and data pipelines at a collaborative design platform, using Python and ML libraries.
Build and ship ML-powered travel services in Python, integrating PostgreSQL, FastAPI, and AWS to deliver scalable, user-facing features.
Build and deploy AI/ML solutions using Python and AWS Bedrock for global clients, focusing on AgentCore frameworks.
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s content ecosystem, including Firefly and Creative Cloud, using Python, TensorFlow/PyTorch, and distributed systems.
Build production-grade AI/ML systems that turn complex dairy-farm data into actionable insights using AWS, Databricks, and modern AI frameworks.
Lead Amgen’s AI Studio team to design, build, and scale enterprise AI products (GenAI, RAG, agents) and automation platforms, ensuring scientific credibility, operational reliability, and responsible governance across departments.
Build and deploy production-grade Generative AI and Agentic AI systems on Microsoft Azure, designing multi-step agent workflows and RAG pipelines to solve complex financial-services challenges.
Drive AI-powered wealth-management products, from discovery to launch, by partnering with engineering, investment, and compliance teams in a regulated fintech setting.
Build and deploy production-grade AI systems, fine-tuning LLMs and orchestrating agentic workflows to solve domain-specific challenges in energy and infrastructure.
Build and deploy production-grade AI systems, including LLMs and agentic workflows, from data pipelines to model fine-tuning and deployment.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Intern designs and builds AI/ML systems and dashboards to solve business problems, curates data, and provides analytics support for IT projects.
Build and maintain large-scale data infrastructure for ML pipelines, training datasets, and distributed batch/stream processing using Spark, Flink, Ray, and orchestration tools.
Build and scale foundational ML systems for global money movement, fraud detection, and customer-facing features using Python, PyTorch, and cloud platforms.
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.
Build and improve AI-powered tools that label sensor data for self-driving cars, using full-stack web tech and ML-driven automation to train autonomous vehicle models.
Job Title: Machine Learning Research Engineer - Central Technology Requisition ID: R027933 Job Description: Your Mission The Machine Learning Research Engineer will detect, prevent, and respond to cheating in…
Build and scale a physical-AI data business by designing egocentric video capture rigs, perception pipelines, and automated labeling systems to generate high-quality training datasets for robotics and AI models.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
