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.
This is a 3-year PhD scholarship at DTU Compute focused on researching AI-driven agents in electricity markets. The role involves developing mathematical and algorithmic tools to analyze multi-agent learning dynamics and designing market rules for stable and efficient infrastructure operation.
AI Engineer Intern at Hitachi Digital Services in Ho Chi Minh City, contributing to industrial AI R&D projects using Python/C++, deep learning, LLMs, PyTorch/TensorFlow, and Langchain.
Applied Scientist on Prime Video's Generative AI team building production-ready video content, localized assets, and visual marketing materials using generative AI, deep learning, and computer vision.
Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? This PhD position offers the opportunity to develop…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft…
The AI Engineer will design, develop, and deploy production-grade Agentic AI and Generative AI systems for BMO Capital Markets. The role focuses on building scalable AI platforms, LLM-based applications, and orchestration frameworks to support investment banking and global markets.
Research engineer building infrastructure, tooling, and platforms for the full LLM lifecycle—data curation, distributed training, alignment (SFT, PPO, GRPO), and evaluation—using Python/C++/Go across large-scale GPU/NPU clusters.
Lead the design, development, and deployment of AI and ML models and systems, focusing on scalability, reliability, and performance. Collaborate with cross‑functional teams, including data scientists, software…
For Canada Applicants: This posting is for an existing vacancy. the company utilizes AI tools to assist in assessing candidates in our hiring processes. Note: By applying to this position you will have an opportunity…
Lead ML research engineering at RBC Borealis, delivering AI projects end-to-end—from data preprocessing to production—using Python and deep learning frameworks (PyTorch/JAX/TF) on large-scale datasets for NLP, generative AI, and time series problems.
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or…
PhD scholarship focused on developing mathematical and algorithmic tools to analyze AI-driven, learning-based agents in electricity markets, combining optimal control, game theory, multi-agent systems, and optimization.
Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice…
Crossing Hurdles is seeking a software engineer to create reinforcement learning environments and address complex engineering challenges. You will implement features, fix bugs, and optimize performance within a dynamic…
The RL Data team builds the systems, pipelines, and human feedback tooling required to produce high-quality reinforcement learning data for the Claude AI model. This senior role involves end-to-end ownership of data collection infrastructure, execution environments, and quality assurance frameworks.
Design, develop, and deploy autonomous AI agents that automate enterprise workflows using Python, LLMs, cloud platforms (AWS/GCP/Azure), SQL/NoSQL databases, and Docker/Kubernetes.
Software Developer for Simulation and GenAI at Airbus Defence and Space, building applications using C++, Python, and ML libraries (TensorFlow, PyTorch, Ray) in an agile environment.
Co-op ML Software Engineer at RBC Borealis building end-to-end machine learning software solutions—from data pre-processing and algorithm implementation to front-end development—using Python/C++/Java and distributed frameworks like Hadoop and Spark.
Leads AI/data engineering solutions on RBC’s hybrid multi-cloud platform, designing scalable pipelines, RAG systems, and agentic workflows to meet business objectives. Mentors teams and ensures robust, governed data products for financial AI applications.
Lead AI/ML Engineer at RBC’s digital banking unit, designing and deploying production-grade ML systems (LLMs, RAG, embeddings) for financial services. Owns end-to-end projects from model development to observability, integrating AI into online banking and digital channels.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
