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.
A Summer 2027 research internship at AMD's Santa Clara office, prototyping reinforcement-learning methods for post-training large language and code models — running controlled experiments, analyzing failure modes like reward hacking, and contributing to papers. Core stack: Python, PyTorch, GPUs.
Builds and owns Cotidal's workload software stack for AI training, reinforcement learning, and inference on its accelerator fleets: framework integrations (PyTorch/JAX/XLA), performance engineering across compilers, runtimes, and kernels (CUDA/Triton/Pallas), and production reliability at scale. On-site in Palo Alto at a well-funded early-stage AI infrastructure company.
Leads a team of researchers to advance large language model (LLM) training, inference efficiency, and scaling techniques using Python and PyTorch, while translating innovations into Databricks' AI platform.
Designs and runs the infrastructure that powers AI research at Databricks, building systems to schedule and orchestrate large-scale training and inference workloads across thousands of GPUs.
Designs, builds, and maintains scalable backend services for a large-scale data and AI platform, using Java/Scala, cloud technologies, and distributed systems.
The Company You’ll Join Carta is the connected platform and AI-native ecosystem for private capital. Built to replace fragmented tools with a single system of record, Carta brings together the software, services, and…
About Obvio AI Each year, more than 40,000 people in the U.S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are preventable. We deploy solar-powered, AI-assisted cameras to…
Despite the DevOps title, this is a machine learning/computer vision engineering role: building and optimizing models for product image analysis, background removal, and automated tagging. Day-to-day work centers on PyTorch, TensorFlow, Python, CUDA, and large-scale inference pipelines.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping…
Senior MLOps Engineer at Noma Security in Tel Aviv, owning the infrastructure, tooling, and pipelines for training, fine-tuning, evaluating, and deploying NLP/LLM models at scale. Day-to-day spans ML CI/CD, inference optimization, and Kubernetes/cloud ML infra using Python, PyTorch, HuggingFace, SageMaker/Vertex AI, Helm, and Terraform.
Build, train, and deploy AI models for drug discovery in a co-innovation lab with NVIDIA. The role involves full-stack development, distributed training on multi-GPU infrastructure, and creating tools for scientists using Python, PyTorch, and cloud platforms.
Systems engineer building the distributed training infrastructure behind River AI's personal-AI platform — making fine-tuning and reinforcement learning fast, numerically correct, and reliable across large GPU clusters using Python, PyTorch/JAX, parallelism, and GPU optimization.
We are seeking a Senior Software Engineer to drive integration of the NVIDIA Grove project within Dynamo and across a set of leading open-source AI frameworks. In this role, you will develop production-grade software…
Building the autonomous company Human Intuition is building the autonomous company. Businesses run on accumulated judgment: how to interpret a situation, choose an action, and learn from its consequences. Much of that…
The ML Training Performance Engineer optimizes the efficiency and scalability of deep learning model training on GPU and cloud infrastructure. The role involves profiling the training stack, writing custom GPU kernels using CUDA or Triton, and implementing distributed training strategies with Python, C++, and PyTorch to support large-scale neurotech research.
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your…
ML infrastructure engineer at a healthcare AI imaging company, owning distributed training, reinforcement-learning, and production model-serving systems. Day to day: building training/checkpointing pipelines, RL rollout and reward-model infra, multimodal data pipelines, and serving/deployment tooling with Python, Kubernetes, Docker, and PyTorch or JAX.
First dedicated security engineer at an AI infrastructure startup, building the security program from the ground up across cloud infrastructure, backend systems, and customer-facing APIs while driving SOC 2 readiness. Day to day: threat modeling, cloud IAM/network security, secrets management, SIEM monitoring, incident response, and compliance documentation on AWS/GCP and Kubernetes.
NOTE: This opportunity is full-time employment position only (no 1099 or C2C engagements, or third parties or staffing agencies, please). The candidate MUST be a U.S. Citizen and Permanent Resident (Green Card holder).…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
