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Lead Machine Learning Scientist, FinCrime
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.
Computer Vision Engineer / Machine Learning Engineer
Research and develop on-device generative and 3D spatial AI models for mobile platforms, optimizing models for edge deployment and shipping to product.
Machine Learning Engineer - Spiking Neural Networks
Develop spiking neural networks and machine-vision software in C++ with CUDA/GPU acceleration, turning research into production-grade systems.
AI/Machine Learning Consultant
Consultant builds and deploys AI/ML models for defence, security and government clients using Python, TensorFlow/PyTorch and cloud platforms.
Associate Engineer, System Design Engineering ( FPGA Design 2-4 years)
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.
Backend Engineer
Build and maintain a high-volume fraud-detection platform using Go, Python, and cloud tech, collaborating with data scientists and product teams.
Machine Learning Engineer
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 Application of Physics-Informed Machine Learning for Grid-Tied Inverter Control
Master thesis role developing a physics-informed AI controller for grid-tied inverters, comparing linear/predictive baselines and researching AI-based implementations.
Managing Consultant Data Scientist
Lead AI/ML projects, mentor teams, and design scalable pipelines for clients, translating complex data into business strategies using Python, Spark, and MLflow.
Staff Machine Learning Engineer
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.
Computer Vision Engineer
Develops neural-network-based computer vision models for novel cybersecurity applications in a simulation-focused R&D company.
Senior AI / Machine Learning Engineer
Build and deploy large-scale AI models (LLMs, diffusion, GNNs) for biomedical discovery, owning end-to-end training pipelines and distributed systems.
Early Career - AI for Analog Design Engineer
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.
Growth Marketing Operations Technical Specialist
Growth Marketing Operations Technical Specialist Location: Hybrid onsite schedule in Culver City, CA Schedule : 40 hours Duration: 12 months Pay: $45-$47.52 DOE The Planet Group is looking for a Growth Marketing…
Senior Manager, Data Science
Lead a team developing proprietary ML algorithms and data solutions for IIoT and business systems using Databricks, PySpark, and GenAI. Responsible for managing data scientists, ensuring code quality, and delivering enterprise software for supply chain environments.
Large Language Model Architect
Design and tune large language models (LLMs) to process and generate human-like text, optimizing neural network parameters and training on vast unlabeled datasets.
Large Language Model Architect
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.
System Software Engineer - Local AI
Build and optimize on-device AI inference software for NVIDIA GPUs, focusing on low-latency, memory efficiency, and deployment on RTX/DGX systems.
Senior Software Developer, AI Networking
Build and optimize AI networking frameworks and benchmarks for NVIDIA’s supercomputers and data centers, using Python, Linux, and modern AI tools like PyTorch.
Large Language Model Architect
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.