Job Description Summary At GE Aerospace, we tackle some of the world's most complex engineering challenges. Our engineers rely on software developers to bridge data, tools, and cutting-edge technologies like cloud and Al, unlocking new possibilities and advancing the future of flight. As an intern, you'll build expertise in cloud platforms, databases, data engineering, web design, Al technologies, and numerical methods to solve real-world engineering problems. Through hands-on projects, you'll work with the Innovator Method, Game Theory, and DecisionIQ, turning customer insights into impactful solutions. You'll have the opportunity to learn, contribute, and bring real business value and help shape the future of aerospace design. Job Description What You will Do - Develop technical solutions for engineers to evaluate and adopt data and AI solutions. - Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems. - Build and present product architectures, write technical code, and demo applications to stakeholders. - Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solution that deliver real business value. - Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods. - Use your strengths to support team members and build cross-functional relationships across the company. - Work to ship solutions to production that meet business needs and drive impact. Our culture thrives on innovation, diversity, and deep collaboration. You’ll contribute as both a learner and a builder, helping us push the design frontier in aerospace. Qualifications - Currently enrolled in a Bachelor’s degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or credentialed software accelerator program. - Minimum 3.7 cumulative GPA off a 4.0 scale without rounding No prior work experience is required. Desired Characteristics - Strong academic performance in Computer Science or other STEM disciplines - Experience designing AI solutions and architecting distributed data systems - Proficiency in programming and debugging with Python, C#, C++, and SQL - Customer-centric mindset with ability to lead design thinking workshops - Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision - Experience building solutions using public cloud platforms such as AWS or Azure - AWS and/or Azure certification About The Internship - Location: Remote - Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city. - Travel Opportunities - Real-world project ownership - Mentorship from experienced engineers - Opportunity for return offers Equal Opportunity Employer GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. #LI-Remote - This is a remote position Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No #LI-Remote - This is a remote position

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact. Are you ready to innovate and create transformative AI solutions? Blue Planet, a division of Ciena, is seeking a dynamic AI Engineer to drive advancements in AI technologies and frameworks, contributing to cutting-edge developments across diverse domains. How You Will Contribute - Design and develop AI agents using frameworks like LangChain, LangGraph, Langflow, and MCP Servers. - Fine-tune and optimize large language models (LLMs) such as GPT models, Llama, and others for diverse applications. - Implement Retrieval-Augmented Generation (RAG) techniques and integrate vector databases like Qdrant and ChromaDB. - Enhance AI agent operations with tools like langfuse and litellm, ensuring robust security and guardrails. - Leverage cloud platforms such as AWS, Google Cloud, and Azure for scalable AI solution deployment. - Build and manage databases using Postgres, Neo4j, and Clickhouse for efficient data handling. - Utilize technologies like Apache Airflow, Redis, Mlflow, Minio, Apache Kedro, and PySpark for workflow optimization and data processing. The Must Haves - 6+ years of experience in AI engineering with proficiency in Python. - Expertise in AI frameworks such as LangChain and LangGraph, or similar agentic AI frameworks. - Proven experience in fine-tuning large language models (LLMs) and implementing Retrieval-Augmented Generation (RAG) techniques. - Strong knowledge of vector databases and AI agent security protocols. - Familiarity with cloud platforms and database technologies. - Experience with prompt engineering techniques and CI/CD processes. - Background in leveraging tools like Apache Airflow, Redis, Mlflow, Minio, and Apache Kedro. Nice to Haves - Experience with PySpark for large-scale data processing. - Knowledge of emerging AI frameworks and technologies. - Advanced understanding of AI agent optimization and collaborative systems. - Exposure to cloud-native tools and services for AI deployment. - Familiarity with advanced database architectures and tools. - Interest in contributing to open-source AI initiatives. - Passion for driving innovation in AI technologies. #LI-FA At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

About the Team The AI Center of Excellence is a multidisciplinary group of Data Scientists and AI Engineers who partner with Detection and Response teams to turn cutting-edge research into real-world security products. We leverage LLMs, agentic workflows, and behavioral modeling to stay ahead of evolving threats and ensure our customers remain secure. About the Role As a Senior Software Engineer - Data Science, your primary responsibility will be to drive the end-to-end delivery of ML and LLM-based solutions on AWS. Specifically, your focus will be to: - Design and implement sophisticated ML pipelines for security use cases, including malware detection and user behavioral analytics. - Architect and maintain RAG pipelines and agentic AI workflows using toolchains like LangChain and LangGraph to automate complex security tasks. - Optimize and deploy models within the AWS ecosystem, utilizing SageMaker and Bedrock while ensuring robust monitoring, drift detection, and retraining workflows. - Collaborate and mentor across the team to establish architectural standards, conduct code reviews, and support the technical growth of junior engineers. The skills and qualities you'll bring include: Core Skills - Technical Ownership: Ability to take a project from a conceptual prototype to a high-quality production system. - Analytical Problem Solving: Expertise in applying scientific computing and statistical modeling to unlabeled, large-scale data. - Continuous Learning: A proactive approach to mastering emerging technologies in LLMs, Generative AI, and agentic systems. Functional Skills - Python Proficiency: Advanced experience with numpy, pandas, and scientific computing libraries. - Machine Learning Frameworks: Hands-on expertise with scikit-learn and Deep Learning frameworks (PyTorch or TensorFlow). - Generative AI Toolchains: Proven experience with HuggingFace, Transformers, LangChain, and LangGraph. - Cloud Infrastructure: Strong experience deploying and operating ML workloads on AWS (SageMaker, Bedrock, Lambda, EKS). - Vector Databases & RAG: Practical experience designing and tuning Retrieval-Augmented Generation pipelines. - MLOps & CI/CD: Proficiency in managing model registries, versioning, and automated deployment via GitHub Actions or Jenkins. - Security Domain Knowledge: Familiarity with threat detection, malware behaviour, or cybersecurity analytics. - Model Explainability: Ability to implement and interpret model transparency tools like SHAP or LIME. - LLM Evaluation: Experience using evaluation frameworks such as Promptfoo or HELM to ensure model quality and safety. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. #LI-AK1 About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.

Job Description Join a Fast-Paced Team of Engineers Creating Cutting-Edge AI and Software Products We are seeking an experienced Senior Cloud AI/ML Engineer to join our team of engineers creating innovative AI and software products for Enterprise. As a member of our team, you will work closely with AI COE developers and engineers to develop technologies that enhance the capabilities of our BAE systems. Our goal is to create user-driven applications that optimize human-AI performance in the next generation of digital transformation. This job is fully remote About the AI COE Team The AI COE team is a collaborative, cross-functional team committed to innovation, integrity, continual learning, and strong execution. We enable the successful delivery of high-impact technologies for BAE System's mission. - Unique User-Driven Approach: Work directly with a wide range of stakeholders to develop solutions that directly impact their missions. - Efficiency and Innovation: Join a small team where you can work quickly, efficiently, and have a substantial impact on the entire development process. - Innovation Culture: Be part of a team where innovation is encouraged. - Continuous Learning: Stay current on industry best practices in a fast-paced and dynamic environment. Responsibilities - Design, develop, and deploy robust machine-learning algorithms, including large language models. - Collaborate with stakeholders to understand business requirements and translate them into actionable solutions. - Integrate Vortex AI, AWS and MS AI Foundry to develop scalable and secure AI solutions. - Manage and deploy AI solutions on cloud-based platforms, ensuring high availability, scalability, and reliability. - Develop and maintain cloud-based infrastructure, including data pipelines, data warehouses, and data lakes. - Work with cross-functional teams to develop and implement DevOps practices for AI/ML solutions. - Conduct data discovery and analysis by cleaning, preprocessing, and transforming raw data into usable formats, ensuring data quality and integrity. Required Education, Experience, & Skills A Bachelor's degree with a minimum of 8+ years of professional experience as a Cloud AI Engineer, with a focus on cloud-based AI/ML solutions. - Strong understanding of cloud-based platforms such as AWS, Microsoft AI Foundry, and Vertex AI. - Experience with large language models (LLMs) and their applications in AI. - Proficiency in cloud-based services such as AWS SageMaker, AWS Glue, AWS Lambda, and AI Foundry. - Experience with containerization using Docker and Kubernetes. - Strong understanding of DevOps practices and tools - Experience with Agent + RAG system and its application in data science and AI. #LI-KK1 #LI-REMOTE Preferred Education, Experience, & Skills - Master's or Ph.D. degree. - Experience working with large datasets. - Excellent communication and presentation skills. - Experience with cloud-based data warehousing and big data processing (e.g., AWS Glue, Apache Spark). Pay Information Full-Time Salary Range: $108787 - $184937 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems, Inc. BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.