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.
Senior engineer developing and deploying test infrastructure for Google’s AI hardware, ensuring seamless manufacturing and deployment of next-gen ML capacity.
Build ML models to retrieve and rank relevant ads for Apple’s services, focusing on privacy-preserving algorithms and large-scale experimentation.
Develop computer vision and localization models to help devices understand their spatial context, from training large-scale models to optimizing them for on-device performance.
Develop and refine machine learning models for Apple Intelligence, focusing on input experiences like text and voice processing.
Lead AI/ML architecture and deployment for client projects, designing scalable solutions and guiding teams in the Advanced Technology Centers.
Postdoctoral researcher analyzing heavy-ion physics data from sPHENIX and ATLAS experiments, developing scientific ML models for particle reconstruction, and publishing findings in peer-reviewed journals.
Develop compiler optimizations for Apple’s Neural Engine to run AI models efficiently on devices like Vision Pro and iPhone.
Lead model risk management for Affirm’s ML models, validating credit underwriting, risk, and fraud systems to ensure responsible AI and regulatory compliance.
Build and improve ML systems that make real-time underwriting decisions for Affirm’s buy-now-pay-later checkout, using Python, PyTorch, and distributed data tools.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the…
Develop low-power, high-performance AI system software for Apple’s Neural Engine, optimizing ML models for devices like Vision Pro and iPhone.
Build and deploy GenAI models and ML infrastructure at scale for Google’s core products, writing Python/C++ code and evaluating tradeoffs in large-scale systems.
Build and deploy large-scale ML models that power real-time ad bidding and commerce media systems, optimizing relevance and ROI for global advertisers and publishers.
Build and deploy deep-learning models for real-time ad auctions, including CTR/CVR prediction and ranking, at massive scale with sub-7ms latency.
Build and experiment with deep neural network models for Moloco’s AI-powered ad platform, optimizing performance for real-time, large-scale predictions.
Build and deploy deep-learning models for real-time ad auctions, ranking, and bidding at scale, using GCP pipelines and Python/Java/Go.
Build and own production-grade CTR/CVR prediction models for a real-time ad-bidding platform, iterating quickly with offline/online experiments and signal discovery.
Drive end-to-end delivery of ML/GenAI features for Apple’s media products, coordinating cross-functional teams to ship large-scale AI programs millions of users rely on.
Builds and optimizes AI-powered legal RAG pipelines using Qdrant, hybrid search, and LLM providers (Anthropic, OpenAI, YandexGPT) to retrieve and rank relevant legal documents from a 23M+ corpus.
Build and lead evaluation pipelines for audio AI models in speech generation and recognition, creating automated dashboards to track performance and guide improvements.
We couldn't check your fit for this role — add a CV to your profile to see it next time.