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software engineer intern

Tesla

<div>What to Expect<div>
Start Date: September 2026 
Location: Amsterdam 
Duration: 6 Months 
Length: Fulltime (40h a week)
Please note: In order to be considered, you must be enrolled in education for the full duration of the internship.
The Data Engineer Intern will support the development of data pipelines, systems, and processes for Tesla&rsquo;s Environmental Health, Safety and Security (EHS&amp;S) Org. The intern will have a unique opportunity to improve how Tesla uses data in an EHS&amp;S context. This includes collecting and processing data while ensuring quality and availability for downstream uses. This role has a strong technical component, where critical and structured thinking are a big bonus.
Data is deeply embedded in the culture at Tesla. We rely on data &ndash; lots of it &ndash; to improve our products, to optimize results, and to proactively detect opportunities for advancement. As an EHS&amp;S Data Engineer Intern, you will be part of the team that solves issues that affect Tesla&rsquo;s impact on the environment and employee health, safety, and security by using data and reporting metrics to identify potential problems in the field, investigate discrepancies, and initiate repair actions when needed. Your tasks will include data extraction, transformation, and loading (ETL) processes, as well as assisting in the development of data models and integration with various data sources.</div> 
What You'll Do<div><ul><li>
Assist in the design, development, and maintenance of ETL/ELT processes that collect and transform data from diverse sources</li><li>
Collaborate with the team to optimize data pipelines and ensure reliability in our processes</li><li>
Implement quality checks and monitor data integrity throughout the data flow</li><li>
Work with various stakeholders to understand their data needs and translate requirements into effective data solutions</li><li>
Write and optimize dbt/SQL queries to retrieve and manipulate data from our warehouse solution</li><li>
Develop Python scripts to automate data-related tasks and improve overall data workflow</li><li>
Contribute to the documentation of data engineering processes, data models, and best practices</li></ul></div> 

What You'll Bring<div><ul><li>
Currently pursuing a degree in Computer Science, Data Science, or a related field</li><li>
Good working knowledge of SQL language and relational databases (e.g., MS SQL, MySQL)</li><li>
Strong understanding of Python and ability to write efficient and well-documented code</li><li>
Solid problem-solving and critical thinking skills</li><li>
Level C1 English (written and spoken)</li><li>
Eagerness to learn and adapt to new technologies and tools in the data engineering domain</li><li>
Familiarity and experience with data warehousing concepts, Apache Airflow, dbt, ELT/ETL processes is a plus</li></ul></div> 
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. 
 
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.</div>

Data Engineer Internship

GAIDE

About GaideGaide is the strategic AI partner for SMB+. We help organizations unlock the value of AI step by step - from defining a clear AI strategy and building AI literacy to full implementation. Together with our clients, we build human-centered, AI-driven organizations, where AI becomes embedded in the DNA of core business activities.As an intern, you won&rsquo;t just observe this journey - you&rsquo;ll help apply and scale AI from within Gaide itself.What will you do?As an AI Engineer Intern, you will work hands-on on applying AI inside Gaide. You&rsquo;ll be embedded across teams and work closely with AI consultants and AI engineers, learning how AI solutions are designed, built, and deployed in practice.Your focus is on shipping real internal AI solutions, primarily using low-code / no-code tools, while gradually deepening your technical understanding.Your responsibilities include:<ul><li>Working alongside AI consultants to identify and shape internal AI use cases</li><li>Translating business and operational needs into practical AI-powered workflows</li><li>Designing and building low-code / no-code AI automations and agents for internal teams</li><li>Supporting internal AI projects from idea through deployment and iteration</li><li>Testing, improving, and maintaining deployed internal AI solutions</li><li>Learning how AI engineers approach architecture, integration, and reliability</li><li>Acting as a bridge between business context and technical implementation</li><li>This is a forward-deployed role: you don&rsquo;t wait for perfect specs - you iterate, deploy, learn, and improve.</li></ul>What you bring<ul><li>You are currently enrolled in a Bachelor&rsquo;s or Master&rsquo;s program (e.g. Computer Science, AI, Data Science, Business Analytics, or related)</li><li>You are comfortable working with low-code / no-code tools, prompts, and automations</li><li>You have a strong interest in AI systems and how they are used in real organizations</li><li>You are curious, proactive, and enjoy learning from experienced practitioners</li><li>You can work independently, take ownership, and communicate clearly</li><li>You enjoy improving workflows and making systems more effective</li><li>You are comfortable in a fast-paced startup environment</li></ul>You don&rsquo;t need deep engineering expertise - learning mindset and execution matter most!What we offer<ul><li>A paid, hands-on internship with real ownership and visible impact</li><li>Minimum 3 days per week, flexible around your studies</li><li>Daily exposure to how AI consultants and AI engineers work in practice</li><li>Strong learning curve across consulting, product thinking, and applied AI</li><li>Hybrid setup: working from our Keizersgracht office in Amsterdam and remotely</li><li>A strong opportunity to continue at Gaide after the internship (working-student role or permanent position), depending on mutual fit</li><li>An ambitious team that values initiative, pragmatism, and growth</li></ul>How to applyInterested? Let&rsquo;s talk.Apply through this link: https://forms.clickup.com/9012069442/f/8cjjh22-55212/IOAGVMZA64CKZD1F4KJob Types: Part-time, Internship Contract length: 5-6 monthsWork Location: Hybrid remote in 1016 Amsterdam Centrum

AI Engineer Intern

Together AI

<div><h3 class="jobSectionHeader">About the Role</h3>

Together.ai is looking for a Software Engineer to join the Identity &amp; Collaboration team &mdash; a great role for a full-stack or backend engineer who wants to grow into functional programming and the identity space. As part of the Product Foundations engineering group, the Identity &amp; Collaboration team owns authentication flows (including SSO and OAuth), organizations, projects, API keys, and the role-based access controls that enable secure collaboration at scale.

Every customer interaction with Together relies on the systems we build. Whether it's a researcher accessing their models, an enterprise team collaborating on a shared project, or a developer making an API call, we make authentication seamless and invisible for simple cases while providing robust, enterprise-grade capabilities for complex organizational structures. Our work directly enables Together's growth from individual users to large enterprise teams, and we're actively building the next generation of collaboration features that will unlock new ways for customers to work together securely and efficiently across all Together products.
<ul>
<li>Location: Hybrid in Amsterdam, NL or remote UK, Ireland &amp; Germany</li>
<li>Full-time: This means 40 flexible hours, Monday through Friday.</li>
</ul>
You'll own well-defined features and small projects end-to-end, shipping work that lands in front of customers. You'll get guidance as you take on unfamiliar problem spaces, with plenty of room to grow toward more autonomy over time. We pair, review each other's code, and learn in the open &mdash; it's a strong environment to level up in.
<h3 class="jobSectionHeader">
Responsibilities</h3>
<ul><li>Build and ship features across the stack &mdash; TypeScript/Next.js on the frontend and Elixir/Phoenix services on the backend (which you can grow into)</li>
<li>Own well-defined pieces of work end-to-end, from implementation through testing and rollout</li>
<li>Contribute to our identity and access features: SSO, OAuth, organizations, projects, API keys, and role-based access control</li>
<li>Learn the Elixir/Erlang VM (BEAM) and how we run it in production</li>
<li>Participate meaningfully in code review and build your familiarity with our testing, tooling, and workflow</li>
<li>Surface blockers early and collaborate with the team to work through them</li>
<li>Work with relational (PostgreSQL) and non-relational (MongoDB) data</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul><li>Around 2&ndash;3 years of professional experience writing and shipping production code</li>
<li>Solid full-stack or backend engineering, especially with TypeScript (backend and/or frontend, for example with Next.js) &mdash; or another modern stack whose ideas you can bring across</li>
<li>Genuine enthusiasm to learn Elixir and Phoenix &mdash; production experience isn't required, and we'll support you in getting there</li>
<li>Writes clean, well-organized, well-tested code, and treats code review as a way the team grows together</li>
<li>Comfortable owning scoped work and surfacing blockers early</li>
<li>Curious, open to feedback, and willing to propose new approaches and make mistakes</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul><li>Interest in, or some exposure to, identity and access concepts &mdash; authentication, authorization, SSO, OAuth (this is a great team to learn them on)</li>
<li>Any exposure to functional programming (Elixir, Erlang, or similar)</li>
</ul>
If you don't meet 100% of the above, you should still consider applying. It's completely fine if you haven't used Elixir yet &mdash; if you're excited to learn it and have a passion for this kind of work, we want to talk to you.
<h3 class="jobSectionHeader">
About Together AI</h3>

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
<h3 class="jobSectionHeader">
Compensation</h3>

We offer competitive compensation, startup equity, and other competitive benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
<h3 class="jobSectionHeader">
Equal Opportunity</h3>

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more</div>

Software Engineer(Amsterdam)

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

What You'll Do
<ul>
<li>Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements</li>
<li>Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability</li>
<li>Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients</li>
<li>Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>Proven experience in backend development: TS/Node (required)</li>
<li>Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers</li>
<li>Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact</li>
<li>Preferred: Experience with Docker and containerized deployments</li>
<li>Preferred: Proficiency in deploying high availability applications on Kubernetes</li>
</ul>
What We Offer
<ul><li>A dynamic environment where your contributions shape the company and its products</li>
<li>A team that values innovation, intuition, and drive</li>
<li>Autonomy, fostering focus and creativity</li>
<li>The opportunity to have a significant impact in a revolutionary industry</li>
<li>Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture</li>
<li>The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more</li>
<li>An active role at the intersection of artificial intelligence and audio &ndash; a rapidly evolving tech domain</li>
</ul>
The Netherlands Based Salary range for this role is: 30,000-120,000 USD/Year + Bonus + Stock depending on experience.

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Platform - Amsterdam, Netherlands

kaiko.ai

<div>
 
 About Kaiko
 
 
 
 kaiko.ai is a clinical AI research lab in Zurich and Amsterdam. We train our own large-scale frontier-class models end to end, on our own compute. The full stack is in scope, from training infrastructure and post-training algorithms to data generation, evaluation, and production inference.
 
 
 Our models are developed and deployed at leading European hospitals, and that deployment feeds back into the next training cycle.
 
 
 We're hiring interns across the lab. You'll work on the real problems of training and serving these models in a regulated clinical setting.
 
 
 
 The Opportunity
 
 
 
 As an ML Research Intern, you will be embedded in our core research team for six months, working alongside PhD researchers and senior engineers on problems that directly shape our clinical foundation model. You will own real work, contribute ideas, and see your output reflected in our system.
 
 
 Depending on your background and preferences, your project may sit in one of the following areas:
 
 
 <ul>
 <li>
 Data: Synthetic clinical data generation, multimodal data pipelines, curation and quality filtering.
 </li>
 <li>
 Evaluation: Clinical benchmarks, agentic eval design, measurement infrastructure for the production stack.
 </li>
 <li>
 Scaling: Continued pre-training on clinical corpora, post-training algorithms, distributed training at frontier scale.
 </li>
 <li>
 RL: Agentic RL on real clinical workflows, reward modeling, RL infrastructure.
 </li>
 <li>
 Acceleration: Inference &amp; Training optimisation, serving stack, quantisation and throughput tuning.
 
 
 </li>
 </ul>
 You will discuss and agree on your specific focus during the interview process, based on mutual fit and current priorities.
 
 
 
 Who You Are
 
 
 
 We are looking for MSc students or recent graduates in machine learning, computer science, or a related quantitative field. We care more about sharp thinking, high agency, and genuine curiosity than a perfect CV.
 
 
 
 You should bring:
 
 
 
 <ul>
 <li>
 Strong programming in Python and comfort with ML frameworks (PyTorch or equivalent).
 </li>
 <li>
 Hands-on experience with ML research or engineering, ideally in training, post-training, RL, data, or evaluation. Coursework, thesis, internship, or open-source all count.
 </li>
 <li>
 Clear technical communication, in design docs and in discussion with researchers, engineers, and clinical scientists.
 </li>
 <li>
 Motivation to work on hard problems with real ownership. Intern projects ship into the live training and serving stack.
 
 
 </li>
 </ul>
 The specific area depends on the project. None of these are required upfront.
 
 
 
 Why kaiko
 
 
 
 <ul>
 <li>
 Work at the frontier: you will be in the room with PhD researchers and engineers who have built production ML systems at top labs and institutions. Expect to be challenged and to grow fast.
 </li>
 <li>
 Ownership: you will set goals, make decisions, and present your findings directly to the research team, not to an intern coordinator.
 </li>
 <li>
 Conversion pathway: strong interns are actively considered for full-time roles. This is how we build the team.
 </li>
 <li>
 Fair compensation: an internship salary of CHF4000/EUR3000 gross per month
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 We keep it fast. The process typically involves three steps:
 
 
 <ul>
 <li>
 Screening call (30 min): motivation, background, and initial fit.
 </li>
 <li>
 Technical assessment: a short, focused problem relevant to your area, reviewed together in a follow-up conversation.
 </li>
 <li>
 Onsite or video interview: meet the team, go deeper on your thinking, and align on project fit.
 
 
 </li>
 </ul>
 We review applications on a rolling basis. If you are finishing your degree this summer and want to start in September, apply now.
</div>

ML Research Graduate Internship

Hi Tech-IT

<div>
 
 
 DevOps Engineer
 
 
 
 Bouw mee aan innovatieve IT-oplossingen
 
 
 Ben jij een DevOps Engineer die graag software ontwikkelt &eacute;n infrastructuur automatiseert? Werk je graag met moderne technologie&euml;n en wil je een belangrijke rol spelen in het ontwikkelen van schaalbare en betrouwbare oplossingen? Dan is dit een functie waarin je veel technische uitdaging en vrijheid vindt.
 
 
 Wat ga je doen?
 
 
 Als DevOps Engineer werk je binnen een multidisciplinair team aan de ontwikkeling en verbetering van software die wordt ingezet binnen complexe IT-omgevingen. Je bent betrokken bij het volledige ontwikkelproces: van ontwerp en implementatie tot automatisering en optimalisatie.
 
 
 
 
 
 Je werkzaamheden bestaan onder andere uit:
 
 <ul>
 <li>
 Ontwikkelen van backend applicaties en API's.
 </li>
 <li>
 Bouwen en verbeteren van CI/CD pipelines.
 </li>
 <li>
 Automatiseren van deployment- en beheerprocessen.
 </li>
 <li>
 Werken met containers en cloud-native technologie&euml;n.
 </li>
 <li>
 Integreren van verschillende systemen en platformen.
 </li>
 <li>
 Optimaliseren van prestaties, stabiliteit en schaalbaarheid.
 </li>
 <li>
 Samenwerken met softwareontwikkelaars, cloud engineers en infrastructuurspecialisten.
 </li>
 <li>
 Actief meedenken over technische verbeteringen en nieuwe oplossingen.
 </li>
 </ul>
 
 
 
 
 Wat neem je mee?
 
 <ul>
 <li>
 HBO- of WO-werk- en denkniveau.
 </li>
 <li>
 Ervaring met softwareontwikkeling, bij voorkeur in Python, Go of Java.
 </li>
 <li>
 Ervaring met Git en CI/CD tooling.
 </li>
 <li>
 Goede kennis van Linux.
 </li>
 <li>
 Ervaring met Docker en Kubernetes.
 </li>
 <li>
 Kennis van Infrastructure as Code, zoals Terraform of Ansible, is een pr&eacute;.
 </li>
 <li>
 Je bent analytisch, zelfstandig en houdt van technische uitdagingen.
 </li>
 <li>
 Goede beheersing van de Nederlandse taal.
 </li>
 </ul>
 
 
 
 
 Wat krijg je ervoor terug?
 
 <ul>
 <li>
 Een uitstekend salaris afhankelijk van jouw kennis en ervaring.
 </li>
 <li>
 Leaseauto of mobiliteitsbudget.
 </li>
 <li>
 Hybride werken met veel flexibiliteit.
 </li>
 <li>
 Laptop en telefoon van de zaak.
 </li>
 <li>
 Uitstekende pensioenregeling.
 </li>
 <li>
 Opleidingsbudget en volop certificeringsmogelijkheden.
 </li>
 <li>
 Werken met de nieuwste technologie&euml;n binnen uitdagende projecten.
 </li>
 <li>
 Veel ruimte voor eigen initiatief en persoonlijke ontwikkeling.
 </li>
 <li>
 Een informele organisatie met korte lijnen en een collegiale werksfeer.
 </li>
 </ul>
 
 
 
 
 Waarom deze functie?
 
 
 Je komt terecht in een technisch gedreven organisatie waar innovatie, automatisering en kwaliteit centraal staan. Je krijgt veel verantwoordelijkheid, werkt met moderne tooling en hebt alle ruimte om jezelf verder te ontwikkelen als DevOps Engineer.
 
 
 Interesse? Neem contact op voor meer informatie of solliciteer direct.
 
</div>

DevOps Engineer

Tribe28

<div>
 
 We are seeking a DevOps engineer who specializes in the integration and automation of software development and IT operations. As a DevOps engineer, you work to streamline the software delivery process, from development to deployment, by utilizing various tools and methodologies that help to automate and optimize workflows.
 
 
 
 
 
 Your primary responsibility is to facilitate collaboration between development and operations teams. You will use your expertise in software development, system administration, and automation to build and maintain automated systems that can deploy, manage, and monitor software applications in production environments.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, create, own, and maintain systems and service deployments
 </li>
 <li>
 Continuously improve infrastructure for better scalability, security, and
 </li>
 </ul>
 
 fault tolerance
 
 <ul>
 <li>
 Integrate DevOps methodology into development, deployment, and
 </li>
 </ul>
 
 operations lifecycle
 
 <ul>
 <li>
 Create super clean, well-structured, efficient deployment, monitoring, and
 </li>
 </ul>
 
 application management scripts
 
 <ul>
 <li>
 Enable rapid deployment of new product features with the necessary
 </li>
 </ul>
 
 safeguards to maintain stability, high availability, and performance
 
 <ul>
 <li>
 Optimize infrastructure and phase out legacy systems.
 </li>
 <li>
 Monitor and proactively troubleshoot cloud and infra resources.
 </li>
 <li>
 Share your knowledge with regular knowledge-sharing sessions
 </li>
 <li>
 Clear documentation of your work.
 </li>
 <li>
 Keep application compliance with IT risk policies
 </li>
 <li>
 Maintain access matrix
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong experience managing, maintaining, and automating infrastructure (IaC)
 </li>
 <li>
 Proficient in at least one higher-order scripting language (e.g. Python)
 </li>
 <li>
 Strong experience in Container technologies.
 </li>
 <li>
 Strong experience with Container Orchestration tools. (OpenShift, Kubernetes)
 </li>
 <li>
 Strong experience automating the integration and deployment of
 </li>
 </ul>
 
 software (preferably via Azure Devops)
 
 <ul>
 <li>
 Strong experience using logging and monitoring tools to improve observability
 </li>
 </ul>
 
 across systems (e.g.(Grafana, Kibana, Prometheus, Collected)
 
 <ul>
 <li>
 Experience with ansible and/or other configuration management systems.
 </li>
 <li>
 Experience with Databases (e.g. Oracle, Mssql).
 </li>
 <li>
 Experience with Cloud (Azure, AWS).
 </li>
 <li>
 Experience with Linux
 </li>
 </ul>
 
 
 
 
 Tribe28 offers a competitive salary and a dynamic work environment that fosters growth and creativity. Join this team if you want to be a part of something big. We are not just looking for an employee, we&rsquo;re looking for a problem solver and an innovator but mostly a collaborator. If you have a passion for IT and enjoy working on challenging projects that can and will inspire you, apply now and make something amazing!
 
</div>

Explore 135+ Software engineer intern in Amsterdam this July. Find roles across top companies and apply now to boost your career.

135 software engineer intern jobs In Amsterdam

Data Engineer Internship

AI Engineer Intern

Software Engineer(Amsterdam)

Software Engineer, Platform - Amsterdam, Netherlands

ML Research Graduate Internship

DevOps Engineer

DevOps Engineer