Machine Learning / AI Engineering Intern at Teradyne developing AI - driven software systems and collaborating on intelligent automation projects. Focus on applied AI initiatives and real - world engineering challenges.
About the role
- Machine Learning Engineer transforming data lakehouse into a semantic intelligence platform at Cloudflare. Building software to leverage semantic knowledge for business applications.
Responsibilities
- Architect Semantic Layers: Design and develop the software infrastructure to layer semantic meaning over our existing data stack, including Kubernetes, Trino, and Iceberg.
- Build Knowledge Graphs: Construct and maintain large-scale knowledge graphs from unstructured and structured sources to enable advanced reasoning.
- Develop AI Software: Build production-grade software and APIs that leverage LLMs and Graph RAG pipelines to solve complex business queries.
- Enhance Data Intelligence: Implement embedding-based retrieval and semantic deduplication to improve the precision and reliability of AI agents.
- Collaborate on AI Solutions: Work with cross-functional teams to deploy conversational agents and automated diagnostics tools that turn data into actionable business value.
Requirements
- 3-5+ years of experience in software or machine learning engineering with a focus on AI-driven applications.
- Expertise in Knowledge Representation: Proven experience building knowledge graphs (e.g., HNSW, Neptune) and using graph-based reasoning for AI.
- Proficiency with LLMs & GenAI: Hands-on experience with RAG pipelines, fine-tuning (SFT/LoRA), and LLM-as-a-judge evaluation frameworks.
- Strong Backend Skills: Proficient in Python, Go, or TypeScript, with the ability to build and debug complex software systems.
- Analytical Mindset: Strong ability to understand how semantic data structures drive business value and improve user decision-making.
- B.S. or M.S. in Computer Science, Engineering, Mathematics, or related fields.
- Solid understanding of systems engineering principles and practices.
Benefits
- Medical/Rx Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Accounts
- Commuter Spending Accounts
- Fertility & Family Forming Benefits
- On-demand mental health support and Employee Assistance Program
- Global Travel Medical Insurance
- Short and Long Term Disability Insurance
- Life & Accident Insurance
- 401(k) Retirement Savings Plan
- Employee Stock Participation Plan
- Flexible paid time off covering vacation and sick leave
- Leave programs, including parental, pregnancy health, medical, and bereavement leave
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior ML Engineer at BMT designing and deploying machine - learning systems, collaborating across diverse client projects in defence and security sectors.
Machine Learning Engineer responsible for improving MIRA and developing generative AI features at Meltwater. Collaborating with a team to drive innovation and scalability in AI solutions.
AI & ML Engineer enhancing energy management software solutions at GreenPocket GmbH. Focusing on modern LLM architectures and AI integration for innovative user experience.
Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
Machine Learning Engineer at DentalMonitoring developing AI solutions for orthodontics. Responsibilities include model development, evaluation, deployment, and performance monitoring.
Machine Learning Engineer at Hiscox working on fraud detection and generative AI projects. Collaborating closely with data scientists and engineers to solve complex business challenges.
Internship focusing on programming robotic arms and using machine learning in simulations at Fraunhofer IIS. Opportunity to gain practical experience and contribute to innovative research.
Senior Machine Learning Engineer at Itaú, driving innovation with data and AI solutions. Collaborating across teams to implement robust machine learning architectures and ensure scalable deployments.
Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.