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Build multimodal perception and authentication systems using vision, audio, and sensor data to help AI understand the physical world and people in real-world environments.
Build the XR runtime stack (compositor, OpenXR runtime, graphics core, IPC services) for mixed reality displays used in defense and automotive, using modern C++, Vulkan, and OpenXR on desktop and embedded GPUs.
AI Architect serving as enterprise design authority for AI architecture at a real estate firm, defining reference architectures, platform standards, and roadmaps focused on GenAI, LLMs, RAG, AI agents, and MLOps/LLMOps across cloud and on-prem environments.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and…
The Software Machine Learning Engineer will develop, optimize, and deploy real-time computer vision models for Cisco's video conferencing devices. The role involves collaborating with cross-functional teams to integrate ML solutions into the product stack using C++ or Python.
Build and deploy software to automate high-throughput lab workflows, integrating hardware and AI models to accelerate drug discovery and development.
AI/ML Engineer building and deploying data-driven AI/ML products in secure, mission-critical environments for the U.S. National Security community using TensorFlow, PyTorch, Python, and related ML frameworks.
Designs, builds, and deploys enterprise-grade ML models and data science solutions to solve complex business problems using Python, SQL, and cloud platforms.
Hands-on engineer deploying AI inference on edge and wearable hardware, managing hardware-software integration and optimizing ML pipelines under power, memory, and latency constraints using C/C++, Python, and frameworks like ONNX, TFLite, and TensorRT.
Machine Learning Engineer building and optimizing recommendation systems (collaborative filtering, deep learning, GNNs) for gaming platforms, using TensorFlow, PyTorch, Spark, and distributed data processing to personalize content and maximize user LTV.
Senior Data Scientist at STMicroelectronics designing and deploying ML/AI models (computer vision, optimization, GenAI) in Python using TensorFlow/PyTorch, partnering with business stakeholders in a semiconductor manufacturing context.
As an AI/ML Engineer, you'll design, create, and implement complete AI systems that transform client operations, increase data accessibility, and optimize AI/ML systems. You'll work with technologies like TensorFlow, PyTorch, and other ML frameworks to build production-grade solutions for Defense and Intelligence sectors.
Build and deploy agentic AI/ML applications on AWS for national security missions, using Python, large language models, RAG architectures, and agent orchestration patterns to automate workflows and support decision-making.
Data Scientist on Amgen Ohio's manufacturing data science team, building dashboards, scalable data pipelines, and ML solutions for manufacturing, supply chain, and IIoT use cases using Python, SQL, and Databricks.
APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally…
Design, develop, and maintain automated software testing solutions for Boeing's mission systems, including AI/ML and computer vision-based testing of avionics interfaces, using Go, Java, C/C++, Rust, or Python in an embedded systems environment.
Leads AI-driven software development for healthcare tech, integrating NLP, computer vision, and generative models into scalable systems while mentoring engineers and driving AI-first strategies.
Senior Data Scientist on the Gen AI Delivery team, responsible for fine-tuning, developing, and deploying generative AI models (LLMs, RAG, agentic workflows) using Python and deep learning frameworks for Caterpillar's digital products.
Designs and oversees large-scale data and AI architectures, balancing latency, cost, and scalability for Michelin’s enterprise systems. Focuses on Lakehouse (Delta Lake/ADLS Gen2), ML pipelines (Azure ML/AKS), and data models (PostgreSQL/Snowflake) while ensuring security and compliance.
The Principal AI Software Engineer will architect enterprise-grade AI solutions, integrating LLMs, RAG, and agent workflows into high-availability systems. The role involves leading cross-functional teams, setting technical standards for AI development, and optimizing performance and costs across cloud-based infrastructure.
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