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.
Job Description: At Chewy, taking care of pets and the people who love them through the highs, the lows, and the everyday is what drives us. Grounded in that purpose and focused on our mission to be the most trusted…
About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the…
AI Infrastructure Engineer 5 days, Mon - Fri 8.30am to 5.30pm Salary: $5,000 to $7,000 Location: Kaki Bukit Job scopes: Compute & Cluster Management Architect, configure, and maintain high-density multi-GPU compute…
AI Infrastructure Engineer 5 days, Mon - Fri 8.30am to 5.30pm Salary: $5,000 to $7,000 Location: Kaki Bukit Operating Systems: Deep expertise in Linux systems administration, kernel tuning, and shell scripting…
London | £250k-£700k+ TC | Quant Trading / Systematic Funds I'm working with several of the world's leading quantitative trading firms and systematic investment managers looking for exceptional engineers to…
The Senior Analyst will drive the development and execution of data-driven strategies to improve Sales portfolio performance, working closely with senior leadership across Global Commercial Services (GCS). The position…
NVIDIA is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. We partner with the world's most…
Manage a team that designs, develops, troubleshoots and debugs software programs for databases, applications, tools, networks etc. Lead the end-to-end NPI lifecycle for current and next-generation high-performance NICs…
*Telecommuting role to be performed anywhere in the U.S. Analyze and process large-scale structured and unstructured datasets using SQL tools (PostgreSQL, PL/SQL, Spark SQL), API integrations (including Google Suite…
Senior AI/ML Engineer 8-15 Years Experience JOB SUMMARY We are seeking a Senior AI/ML Engineer to provide technical leadership within our Artificial Intelligence and Automation team. The ideal candidate combines deep,…
About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and…
Pluralis Research works on Protocol Learning: training and serving large models in a fully decentralized way on small consumer-grade devices connected via the internet. Despite being dismissed as infeasible, we have…
Designs and deploys ML models to predict and prevent GPU cluster failures, optimizing real-time AI infrastructure reliability and utilization.
Leads the strategy and execution for AI training infrastructure products at the intersection of experiment tracking and cluster telemetry, building tools that connect developer workflows with high-performance compute orchestration for frontier model teams.
Leads cross-functional programs to improve AI workload scheduling and training workflows on CoreWeave's cloud infrastructure, using Kubernetes, Slurm, and AI/ML platforms.
Staff Applied Research Engineer on CoreWeave's OpenPipe team, developing self-improving AI agents that learn from experience using reinforcement learning and LLM post-training techniques. Work spans from RL research to production systems, leveraging GPU-rich infrastructure and tools like Megatron and Kubernetes to solve bottlenecks in continuous agent learning.
Research and build continuous learning systems for self-improving AI agents on the OpenPipe team. You'll investigate RLHF, reward modeling, and on-policy distillation to solve production bottlenecks in agent training. Core stack uses PyTorch/JAX for model training with Kubernetes and Megatron for distributed GPU infrastructure.
Build and optimize AI infrastructure performance monitoring tools, ensuring high availability and observability for CoreWeave’s cloud platform.
We couldn't check your fit for this role — add a CV to your profile to see it next time.