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We are seeking a Senior Applied AI Engineer to lead the development of an advanced automation framework powered by Large Language Models (LLMs). At BOLD, we aren’t just following the AI trend; we are building the…
Lead a team to design and implement advanced AI/ML algorithms for national security applications, focusing on signals exploitation and predictive analytics using deep learning and statistical methods.
Build predictive models and analyze healthcare real-estate data to guide investment decisions using Python/R and machine learning.
Design and implement deep learning object detection frameworks for 3D/4D/5D radar data, optimize models for edge inference with TensorRT, and integrate them into live radar systems alongside AI, software, and radar engineers using Python and PyTorch.
Builds and deploys ML-driven predictive systems to optimize UK real estate investments and asset management for Welltower, analyzing data from internal/external sources to guide location decisions and automate capital allocation processes.
Builds and maintains data pipelines for AI/ML use in autonomous mobility, ensuring high-quality, structured data for training and inference systems while collaborating with AI engineers and infrastructure teams.
Deep Learning Engineer designing, training, and deploying neural networks for real-time radar detection, classification, and tracking of small airborne objects using PyTorch, with edge optimization for production systems.
Leads AI research and development for complex systems, specializing in object detection, neural network resilience, and AI assurance to build high-stakes AI solutions with synthetic data.
Develops and optimizes computer vision algorithms for SLAM and VIO systems, integrating multi-sensor data to improve localization in C++/Linux environments.
Leads ML research projects to improve RTB House’s deep-learning-powered ad-buying engine, designing and deploying models (e.g., deep neural networks) for user behavior prediction and auction bidding. Focuses on production impact, stakeholder collaboration, and mentoring.
Leads ML strategy for SoundCloud’s recommendation, personalization, and search systems, architecting large-scale models to connect artists and fans via music. Focuses on AI-native engineering, LLM-assisted workflows, and team leadership.
Koniag Data Solutions, a Koniag Government Services company, is seeking an experienced AI Security Engineer (Mid) to support a comprehensive enterprise cybersecurity services program for a federal government client.…
About Ford and ATP Ford Motor Company has endured and thrived for more than 118 years by reimagining how things are built. Today, Ford is leading a once-in-a-generation transformation in manufacturing — scaling EVs,…
The Senior AI and Machine Learning Engineer will design, develop, and deploy scalable AI/ML models and agentic architectures while mentoring junior team members. The role involves collaborating with cross-functional teams to integrate advanced machine learning solutions into production environments using frameworks like PyTorch, TensorFlow, and LangGraph.
Senior AI/ML engineer at HPE responsible for designing, developing, and deploying machine learning and agentic AI solutions using Python, TensorFlow/PyTorch, and frameworks like langGraph within the HPE Operations IT services team.
Build AI-driven solutions for TI’s hardware/software applications (design, manufacturing, sales) by designing neural networks, optimizing data pipelines, and deploying scalable ML models. Focus on discriminative/generative AI, LLMs, and cross-functional collaboration.
Senior Data Scientist collaborating with R&D scientists at Qnity Electronics in Cleveland, applying statistical modeling, machine learning, deep learning, computer vision, and generative AI/LLMs to solve scientific and engineering problems in the semiconductor and advanced electronics space.
The Machine Learning Engineer will design, train, and deploy reinforcement learning systems for complex decision-making problems. The role requires expertise in Python, deep learning frameworks, and reward modeling to move RL solutions from research into production environments.
An internship optimizing semiconductor backend test processes and AI-enabled workflows to improve yield, quality, and reliability in manufacturing.
Leads AI/ML development for Barclays’ Research Composer platform, designing and integrating LLM modules into a web-based research tool using Java microservices and TypeScript frontends.
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