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.
Build and deploy AI models that power personalized marketing content at scale using deep learning and transformer architectures in Python and PyTorch.
Lead the design and deployment of advanced ML models to detect and prevent financial crime at Monzo, using Python, SQL, and Go in a cloud-native environment.
Research and develop on-device generative and 3D spatial AI models for mobile platforms, optimizing models for edge deployment and shipping to product.
Consultant builds and deploys AI/ML models for defence, security and government clients using Python, TensorFlow/PyTorch and cloud platforms.
Design and implement high-performance FPGA logic for next-gen NAND Flash storage systems using Xilinx tools and RTL, while collaborating on embedded firmware and system validation.
Build and maintain a high-volume fraud-detection platform using Go, Python, and cloud tech, collaborating with data scientists and product teams.
Build, tune, and deploy ML models in Python using TensorFlow, PyTorch, and Spark ML to power scalable AI features for Conga’s commercial-operations platform.
Master thesis role developing a physics-informed AI controller for grid-tied inverters, comparing linear/predictive baselines and researching AI-based implementations.
Lead AI/ML projects, mentor teams, and design scalable pipelines for clients, translating complex data into business strategies using Python, Spark, and MLflow.
Staff ML engineer at PlayStation’s Visual Computing Group, building advanced neural networks for game rendering and live streaming to improve visual quality and latency.
Develops neural-network-based computer vision models for novel cybersecurity applications in a simulation-focused R&D company.
Build and deploy large-scale AI models (LLMs, diffusion, GNNs) for biomedical discovery, owning end-to-end training pipelines and distributed systems.
Build AI models and agents to accelerate analog circuit design, sizing, and layout for Texas Instruments' IC teams using MLPs, RNNs, CNNs, GNNs, and transformers.
Lead Data Scientist in Real World Data analysis for pharmaceutical research, designing observational studies, integrating EMR/EHR data, and applying AI to generate medical evidence and publish findings.
Design and tune large language models (LLMs) to process and generate human-like text, optimizing neural network parameters and training on vast unlabeled datasets.
Designs and optimizes large language models (LLMs) for natural language processing, collaborating with teams to define model specs, experiment with neural architectures, and improve performance on large datasets.
Build and optimize on-device AI inference software for NVIDIA GPUs, focusing on low-latency, memory efficiency, and deployment on RTX/DGX systems.
Build and optimize AI networking frameworks and benchmarks for NVIDIA’s supercomputers and data centers, using Python, Linux, and modern AI tools like PyTorch.
Designs and optimizes large language models (LLMs) for natural language processing, tuning neural networks on unlabeled text data to improve generation and comprehension while collaborating with engineering teams to integrate models into production systems.
Build and optimize ML models to enhance Altera’s FPGA compiler, focusing on timing closure, resource utilization, and power efficiency using PyTorch/TensorFlow.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
