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.
Principal AI/ML Engineer at Fortive to define and lead enterprise-scale AI strategy, architecture, and platforms, including LLMs, Agentic AI, and MLOps/LLMOps.
LIOM is a Swiss deep-tech company building the ultimate health wearable for conscious living – a continuous, needle-free window into your body's chemistry, starting with glucose. Through this, we empower users to…
About Solenix and our qualities Solenix is a privately owned and international company providing engineering and consulting services in the space market, with branches in Germany, Switzerland, and Italy. We are known…
Lead the architecture and pretraining of large language models for GigaChat, designing MoE and Transformer-based models, scaling laws, and long-context features on H100/B200 clusters.
Lead a team to optimize and scale the reinforcement learning pipeline for GigaChat, focusing on speed, stability, and cost-efficiency of online RL/RLHF/RLVR training and inference.
Builds and optimizes the AI simulation platform that powers Simile’s generative-agent society models, focusing on distributed training, inference, and ML infrastructure to enable fast, cost-effective research-to-production pipelines.
Design and run ML experiments to create rigorous AI evaluation benchmarks, implementing models in Python and analyzing their performance for frontier systems.
Build and deploy AI models for 3D medical imaging to speed up clinical trials; core tech includes PyTorch, ONNX, TensorRT, Docker, and cloud ML pipelines.
Designs and optimizes high-performance AI infrastructure for large-scale GPU clusters, working with top tech companies to accelerate generative AI workloads and reduce costs.
Design and own end-to-end AI compute solutions for enterprise and AI lab customers, from technical discovery and POCs to production deployment and growth, while building the playbooks and assets that define how Andromeda works with customers.
Principal ML Engineer New York, NY (Hybrid) About the Company We're building AI-native enforcement infrastructure for enterprise communication — technology that catches and fixes compliance issues in real time,…
Design and evaluate MLOps systems and GPU kernel optimizations for next-gen AI models using JAX, PyTorch, and Triton, collaborating with research teams on large-scale training infrastructure.
Develops topology-aware collective algorithms and transport layers for AI hardware, optimizing multi-node performance and co-designing with hardware teams.
Build and maintain a production-grade MLOps platform for financial risk models using Python, PySpark, and AWS, automating training, testing, and deployment workflows.
Senior Solutions Engineer at Crusoe helps enterprise customers deploy AI/ML workloads on high-performance GPU infrastructure, running demos, PoCs, and troubleshooting Kubernetes-based stacks in the NYC office.
This role involves leading reinforcement learning infrastructure and model post-training for multimodal, vision-language, and code-generating agents at Moonlake, focusing on building pipelines, distributed training systems, and improving agent performance in 3D environments.
Research engineer optimizing large-scale generative AI training systems, focusing on performance, stability, and low-precision techniques for diffusion and multimodal models.
Designs AI-driven systems that recursively optimize compute workloads and hardware, using agentic loops, performance profiling, and reinforcement learning to improve correctness, speed, and efficiency.
Build and optimize cutting-edge large language models and foundation models using decentralized learning methods, focusing on post-training, distributed GPU training, and open-source deployment.
Build and scale the AI/ML backbone for autonomous defense systems, including training pipelines, synthetic data generation, and real-time edge inference on embedded hardware.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
