Entry-Level AI Engineering Jobs

NVIDIA is seeking a Deep Learning Performance Intern to join their team in Shanghai, China. This role focuses on accelerating deep learning across various platforms and applications, including automotive, robotics, and generative AI. The intern will contribute to deep learning modeling, performance optimization, projections, and analysis, with opportunities to optimize hardware and software architectures and make a significant impact.

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Clara is seeking an AI-Native Engineer to join their team in Mexico City. This role is designed for individuals at the start of their software careers, offering the opportunity to ship production code and own features end-to-end within weeks. You will leverage AI across your entire workflow, from coding and debugging to research and automation, pushing the boundaries of how AI is used within the team. The role involves deep learning of the B2B fintech domain in Latin America, working directly with Product, Design, and senior engineers to build impactful solutions.

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Clara is a leading financial technology platform in Latin America, empowering over 50,000 businesses with corporate cards, bill payments, financing, and B2B payment solutions. Recognized as the region's fastest-growing company by the Financial Times in 2025, Clara is dedicated to enhancing business efficiency and regional competitiveness. This role offers an opportunity to start your career at full speed, shipping production code within weeks and owning features end-to-end. You will leverage AI across your workflow, from coding and debugging to research and automation, pushing the boundaries of how your team utilizes AI. The role involves working directly with Product, Design, and senior engineers, and requires a deep understanding of the B2B fintech domain in Latin America.

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As an Embodied AI Data Scaling Intern, you will contribute to a well-defined project aimed at enhancing the scale, quality, efficiency, or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to develop data pipelines, analyze extensive datasets, refine training workflows, or create infrastructure that boosts the number and quality of experiments the team can conduct. Potential focus areas include data curation and quality, data mining and scenario discovery, dataset and labeling pipelines, distributed training and model scaling, and ML experimentation and flywheel infrastructure.

$142k - $175k

Handshake is seeking a Machine Learning Engineer I for the Growth Relevance team to help shape the evolution of careers in the AI economy. This role will focus on developing, deploying, and enhancing machine learning systems for lifecycle optimization, personalized notifications, and monetization strategies. You will work with cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers, contributing to critical marketplace metrics and responsible AI practices.

$150k - $189k

Replit

Join our engineering team for a 16-week paid internship where you'll work alongside world-class engineers, designers, and product managers to build the future of software creation. You'll contribute to real features that impact millions of developers worldwide, from our AI-powered development environment to the infrastructure that makes lightning-fast collaboration possible. This isn't just about learning—you'll ship meaningful code that helps democratize software creation. Whether you're optimizing our cloud infrastructure, building intuitive developer tools, or enhancing our AI agents, your work will directly empower creators around the globe.

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Dataiku is seeking interns to join their engineering teams, focusing on various aspects of their AI platform. Interns will work on specific features with direct impact on the product, collaborating with senior engineers to code, debug, optimize, and document their work. The role offers exposure to a dynamic technology stack, including Python/Java for backend and Angular/Vue/React for frontend, with opportunities to contribute to areas like AI/ML, MLOps, data preparation, and cloud platform development. Previous intern projects have included improving unsupervised model tooling, building AI-powered coding assistants, enhancing dynamic model management, developing AI-powered code generation, improving search capabilities for data pipelines, contributing to internationalization efforts, creating versatile file processing tools, implementing geospatial transformations, and building full-stack features for cloud engineering.

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Embark on an exciting journey with NVIDIA, a global leader in AI and accelerated computing. As an AI Research Intern focusing on multi-modal AI and vision-language model development within the TAO framework in Hanoi/HCM City, Vietnam, you will be at the forefront of advancing cutting-edge machine learning research. You’ll collaborate with a talented team of engineers and researchers dedicated to developing state-of-the-art deep learning models for tasks such as image segmentation, cross-modal understanding, and universal representation learning. This internship offers a unique opportunity to contribute to next-generation AI systems with real-world impact across industries—from autonomous vehicles to intelligent content understanding.

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HappyRobot is seeking a Product Engineer Intern to develop internal applications and AI agents that enhance operational efficiency across product, engineering, deployments, and go-to-market teams. This role involves building software that is actively used by the HappyRobot team, with guidance from experienced engineers. You will collaborate directly with the CTO and Head of Product, and your work will directly impact various departments by creating tools, agents, and data pipelines to automate workflows and improve processes.

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Xsolla is seeking AI Engineer Interns to drive its transition to an AI-first company. Interns will work on internal AI initiatives to accelerate tooling and integrations, and build proof-of-concept applications on Xsolla's APIs to demonstrate AI-powered workflows. This is a hands-on role where you will ship code that impacts internal teams or external users, collaborating closely with senior engineers and a global cohort of fellow interns. You will gain experience in building production-grade, customer-facing code and learn to leverage AI as a core part of the development process.

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NVIDIA is seeking a talented LLVM Compiler Intern to join our GPU Software organization. This role involves working on the construction and emission of high-performance GPU machine instructions for both Graphics and Compute applications. You will be part of a world-class team of compiler engineering experts, contributing to cutting-edge performance and capabilities for NVIDIA's complex parallel SIMT architectures.

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The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.

$139k - $163k

The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.

$104k - $124k

NVIDIA is seeking an AI Agent Development Engineer Intern for its RDSS program in Taiwan. This role offers an exceptional opportunity to work with cutting-edge AI technologies and experienced professionals, contributing to the development of tools that accelerate software development. You will be instrumental in driving innovation and ensuring flawless project execution, making a significant impact on the future of AI computing.

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As an intern, you will help develop and optimize our AI training platform by improving data processing pipelines, accelerating model training and inference workflows, and/or enhancing testing infrastructure. You will support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed for advancing autonomous driving performance. This role is part of GM's AV/AI Platform organization, which builds the software foundation and engineering tools that power safe, reliable, and scalable autonomous driving and advanced driver-assistance systems.

$97k - $142k

As a Junior Full-Stack Engineer at Escape, you will play a crucial role in shaping the core of our AI-powered cybersecurity products. Working closely with senior engineers and technical leads, you will deliver features and improvements across the entire product. This is an excellent opportunity for an early-career engineer to gain hands-on experience in AI-driven security, work across both frontend and backend development, and witness the direct impact of your contributions in production.

€0k - €0k

Join PwC's Finance Transformation practice as a Junior Consultant specializing in BI & Reporting, AI & Machine Learning for the Banking and Asset & Wealth Management sectors. This role focuses on digitally transforming finance functions by optimizing processes like closing, reporting, budgeting, forecasting, and FP&A. You will be instrumental in creating dashboards, KPIs, and data models using tools such as Power BI, Power Query, and DAX, alongside designing Data Warehouses, Data Lakes, and Data Platforms. The position also involves applying Advanced Analytics, Machine Learning, Generative AI, and Agentic AI to areas like forecasting, anomaly detection, simulations, and finance process automation. You will engage directly with clients, from gathering requirements to designing, developing, testing, and implementing solutions, and will contribute to evaluating the feasibility, benefits, and ROI of data, analytics, and AI use cases. This is a cross-functional role blending finance, business analysis, data, technology, and innovation, with opportunities for national and international projects.

€28k - €33k

At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system, extracting 3D object and line features from dense LiDAR point clouds and imagery. This product-focused role involves working closely with customers to develop Computer Vision/Machine Learning pipelines and workflows that solve their problems. You will be responsible for shipping new features and product lines end-to-end, from data strategy and model training to evaluation. This position is ideal for early-career engineers who learn quickly, are curious, and find satisfaction in shipping impactful products.

$180k - $300k

DataRobot

This internship focuses on enhancing the usefulness of AI agents in real-world applications by providing them with the right tools, context, and persistent memory across conversations and sessions. The core of the work involves the Model Context Protocol (MCP) and agent memory, exploring how agents discover and safely utilize tools, manage learned information, and remain helpful without constant supervision. The ultimate goal is to deliver practical value to daily agent users through clean, extensible implementations.

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As a Simulation AI/ML Engineer intern, you will partner with senior engineers to deliver key components of the evaluation strategy for GM’s autonomous vehicle programs. In this role, you will scale the testing and evaluation of our self-driving stack by applying AI/ML techniques to software solutions. You will design, perform experiments, and deploy these solutions as production-ready code. The work you do will be directly applied to the iteration and validation of the self-driving stack. The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate the development of autonomous vehicles as well as general vehicle software development.

$97k - $115k

As a PhD AI/ML Engineering Intern within General Motors’ Autonomous Vehicles organization, you will advance reliable AI/ML capabilities by translating deep research into validated, production-oriented systems. Your work may support perception, prediction, planning, decision-making, embodied AI, simulation, sensor understanding, mapping, or large-scale model development. You will work with real-world driving and sensor data, modern machine learning methods, and autonomous vehicle evaluation environments. You will collaborate with researchers and engineers to design experiments, build and assess models, investigate failure cases, and integrate promising approaches into broader AV systems.

$156k - $187k

We are expanding our research and development for deep learning and are seeking excellent Software Engineers to join our team. We specialize in developing GPU-accelerated deep learning software, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Your ability to work in a fast-paced, customer-oriented team is required, and excellent communication skills are necessary.

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NVIDIA is seeking outstanding Software Engineer Interns to contribute to the development of groundbreaking technologies for AI and deep learning kernel libraries. The team focuses on building core software that accelerates high-impact AI workloads on NVIDIA GPUs, with an emphasis on deep learning primitives, kernel libraries, and performance-critical GPU software. Interns will engage in the design, development, optimization, and delivery of software integral to NVIDIA's AI platform, with opportunities to work on low-level kernels, performance primitives, and efficient implementations for modern AI and deep learning workloads. This role involves contributing to GPU-accelerated deep learning primitives, attention kernel implementations, runtime components, code generation systems, and performance-critical infrastructure for advanced AI applications, collaborating with world-class engineers across various AI software domains.

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NVIDIA is seeking a Deep Learning Compiler Intern for 2027 to join our Architecture group. This role involves contributing to the development of cutting-edge GPU architectures and parallel programming models. You will be immersed in a supportive environment focused on innovation and making a lasting impact on the world through AI and accelerated computing.

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