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.
Own the end-to-end AI/ML evaluation infrastructure for a regulated health platform: design judges, scorers, and statistical gates to ensure models are safe and effective before reaching patients.
A Machine Learning Engineering Manager at Signifyd leads a team in the AI Lab, building ML products for fraud and risk decisions in e-commerce. The role involves managing a geographically distributed team, running experiments to improve predictive models, setting direction with data, and partnering with risk teams. Core responsibilities include technical mentorship, prioritizing research bets, and
Designs and scales AI-driven personalization, search, and ranking systems for a consumer-scale adtech platform, focusing on real-time ML infrastructure and cross-team collaboration.
Lead the design and deployment of AI/ML systems for cybersecurity, focusing on LLMs, RAG pipelines, and anomaly detection to analyze security telemetry and logs.
Principal ML Engineer builds 3D foundation models for autonomous driving, focusing on geometric vision, neural rendering, and world modeling using large-scale sensor data and PyTorch/C++.
This role involves leading a team of engineers and researchers to build AI agent platforms and expertise graphs for LinkedIn's hiring and job-seeker products. The manager will set technical strategy, drive development of LLM and ML-based systems, and foster a high-performing, inclusive team environment.
Oversees model risk management for Upstart’s AI-driven lending platform, ensuring compliance, fairness, and reliability of ML/GenAI models across credit and operational domains. Evaluates methodologies, documentation, and governance while collaborating with teams to mitigate risks and translate technical findings for stakeholders.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally…
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
Lead a team to design and deploy machine-learning models that extract features from sensors and enable autonomous vehicles to localize precisely in real time across diverse roads.
Builds and refines ML models (pricing, forecasting, scoring) and dashboards, using Python, Scikit-learn, XGBoost, and generative AI to deliver data-driven insights for client decision-making.
Leads AI/ML projects for a global consulting firm, designing predictive models, ETL workflows, and data pipelines to solve high-stakes business challenges (e.g., cost reduction, revenue growth) using Python, SQL, and cloud tools like AWS/Azure.
Lead AI/ML projects for a global consulting firm, building predictive models, ETL pipelines, and dashboards to drive client outcomes in high-stakes business scenarios.
Build AI models that parse security logs and detect threats using LLMs, embeddings, and retrieval, then ship them as production services in a breach-emulation platform.
Own the architecture, development, and automation of end-to-end machine learning solutions, bridging data science and software engineering using Python, Spark, AWS, and GCP.
Build and deploy ML models to detect account-sharing fraud in real time for a global anime streaming platform, using anomaly detection and cloud-based MLOps pipelines.
Designs and deploys AI/ML models and backend services in Python, collaborating with teams to integrate AI into scalable business solutions and analyze AI market trends.
A 3-6 month internship developing deep learning models for radar-based perception in autonomous vehicles, focusing on improving sensor data processing for advanced driver-assistance systems.
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