ai engineer

machine learning engineer Jobs in Amsterdam

machine learning engineer

platform engineer

software engineer(amsterdam) Jobs in Amsterdam

software engineer(amsterdam)

ai engineer intern

automation software engineer

IMC Trading

<div>
 At IMC, technology is at the core of everything we do. Our innovative in-house software drives millions of trading decisions daily, allowing us to outperform the competition through faster, more effective decision-making.
 <br/>
 <br/>
 Based in Amsterdam, IMC's Trading Strategy Software Engineers deliver a wide variety of applications, systems and tools, including trading algorithm implementations, options pricing, volatility calculations, simulation frameworks, and data analysis &amp; visualization tools for traders.
 <br/>
 <br/>
 <strong>
  Your Core Responsibilities
  <br/>
  <br/>
 </strong>
 You will work together with traders, researchers, quants, and fellow engineers. You will take ownership of the end-to-end product development process for deliver high-impact projects -from requirements gathering to production deployment. Your goal is to deliver high-performance, reliable software using frequent iterations to get quick feedback and shorten our time-to-market. Key responsibilities include:
 <br/>
 <br/>
 <ul>
  <li>
   Close collaboration with traders to gain a deep understanding of Trading strategies and implement them optimally;
  </li>
  <li>
   Building cutting edge solutions by developing, testing, deploying, tuning, and maintaining a variety of applications, algorithms, new research infrastructures, and automation for Trading Teams;
  </li>
  <li>
   Continuously improving functional and operational sides of Strategy systems to enhance user experience and overall system performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   At least 3 years of experience as a Software Engineer with excellent programming abilities;
  </li>
  <li>
   Solid understanding of computer science fundamentals, including algorithms, complexity analysis, data structures, memory models, and concurrency models;
  </li>
  <li>
   Strong quantitative and analytical skills and a keen interest in applying them to the Trading field;
  </li>
  <li>
   Prior experience having worked in trading or related industries (HFT, MFT, exchanges, hedge funds etc)
  </li>
  <li>
   Ability to work independently, analyze business requirements, communicate with stakeholders, take full ownership of the solutions you build and deliver;
  </li>
  <li>
   Highly adaptable and able to thrive in uncertain, rapidly evolving environments;
  </li>
  <li>
   Master&rsquo;s or PhD degree (or equivalent experience) in Computer Science or a related field;
  </li>
  <li>
   Experience with JVM-based languages (Java, Kotlin) or Python;
  </li>
  <li>
   Advanced math and quantitative skills are a plus;
  </li>
  <li>
   Experience with and interest in building information-rich user-facing applications, GUIs, UXs is a plus;
  </li>
  <li>
   Experience with large-scale data and research pipelines compute clusters is a plus
   <br/>
   <br/>
  </li>
 </ul>
 In our current Tech stack we work with Java 21+ and Python 3 as the main programming languages to implement our Strategy software. We constantly evolve our technology stack and look for tools that best suit the problems at hand. If a new technology holds promise, we actively explore, adopt, and develop it.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>


Trading Strategy Software Engineer

Workato

<div>
 <strong>
  About Workato
  <br/>
  <br/>
 </strong>
 Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
 <br/>
 <br/>
 <strong>
  Why join us?
  <br/>
  <br/>
 </strong>
 Ultimately, Workato believes in fostering a
 <strong>
  flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
 </strong>
 . We are driven by
 <strong>
  innovation
 </strong>
 and looking for
 <strong>
  team players
 </strong>
 who want to actively build our company.
 <br/>
 <br/>
 But, we also believe in
 <strong>
  balancing productivity with self-care
 </strong>
 . That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
 <br/>
 <br/>
 If this sounds right up your alley, please submit an application. We look forward to getting to know you!
 <br/>
 <br/>
 <strong>
  Also, Feel Free To Check Out Why
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
  </li>
  <li>
   Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
  </li>
  <li>
   Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
  </li>
  <li>
   Quartz ranked us the #1 best company for remote workers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  Staff AI Engineer
 </strong>
 to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
 <br/>
 <br/>
 <ul>
  <li>
   Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
  </li>
  <li>
   Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
  </li>
  <li>
   Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
  </li>
  <li>
   Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
  </li>
  <li>
   Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
  </li>
  <li>
   Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
  </li>
  <li>
   Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
  </li>
  <li>
   Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
  </li>
  <li>
   Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
  </li>
  <li>
   Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Example Projects
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Building an evaluation and observability framework for AI model performance and reliability.
  </li>
  <li>
   Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
  </li>
  <li>
   Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
  </li>
  <li>
   Designing AI services that process and reason over high-volume real-world data at scale.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Qualifications / Experience / Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  </li>
  <li>
   5+ years of experience as a Software Engineer, with strong proficiency in Python.
  </li>
  <li>
   Proven track record of building and maintaining production-grade systems using Python.
  </li>
  <li>
   Strong understanding of distributed systems, API design, and data-driven architectures.
  </li>
  <li>
   Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
  </li>
  <li>
   Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
  </li>
  <li>
   Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
  </li>
  <li>
   Python
  </li>
  <li>
   FastAPI
  </li>
  <li>
   LLM APIs (OpenAI, Anthropic, Qwen, OSS)
  </li>
  <li>
   LiteLLM
  </li>
  <li>
   Qdrant
  </li>
  <li>
   PostgreSQL
  </li>
  <li>
   ElasticSearch
  </li>
  <li>
   Langfuse
  </li>
  <li>
   Kubernetes
  </li>
  <li>
   GitHub Actions
  </li>
  <li>
   ArgoCD
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
  </li>
  <li>
   Background in developer platforms or AI infrastructure services.
  </li>
  <li>
   Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
  </li>
  <li>
   Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
  </li>
  <li>
   Experience developing enterprise-scale SaaS or distributed backend systems.
  </li>
  <li>
   Contributions to open-source projects in Python, AI, or infrastructure engineering.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills / Personal Characteristics
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
  </li>
  <li>
   Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
  </li>
  <li>
   Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
  </li>
  <li>
   Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  (REQ ID: 2460)
 </strong>
</div>


Staff AI Engineer

CuspAI

<div>
 <strong>
  About CuspAI
  <br/>
  <br/>
 </strong>
 CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
 <br/>
 <br/>
 We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
 <br/>
 <br/>
 We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
 <br/>
 <br/>
 <strong>
  We&rsquo;re on the cusp of the on-demand materials era. Join us.
  <br/>
  <br/>
 </strong>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine.
 <br/>
 <br/>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for
 <strong>
  orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations
 </strong>
 ,
 <strong>
  and driving experimental campaigns
 </strong>
 to find breakthrough materials faster than ever before.
 <br/>
 <br/>
 Your work will directly accelerate CuspAI&rsquo;s path to finding solutions for global sustainability challenges.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <strong>
  Agentic systems
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation
  </li>
  <li>
   Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends
  </li>
  <li>
   Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time
  </li>
  <li>
   Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making
  </li>
  <li>
   Create evaluations to measure the effectiveness of agents
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experimental design
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build agents that perform experimental design &mdash; applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns
  </li>
  <li>
   Help close the loop between simulation and physical experiments so that outcomes become durable knowledge &mdash; feeding back into what agents know and how their models reason &mdash; compounding across campaigns.
  </li>
  <li>
   Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Interdisciplinary Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence
  </li>
  <li>
   Work on customer projects and implement the direct needs required for these projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must Have Skills and Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building.
  </li>
  <li>
   Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production
  </li>
  <li>
   Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments
  </li>
  <li>
   If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry
  </li>
  <li>
   You have a proactive builder mentality with a bias toward shipping and iteration
  </li>
  <li>
   Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders
  </li>
  <li>
   Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points (But Not Critical):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience applying ML models specifically for materials science, chemistry, or drug discovery applications
  </li>
  <li>
   Experience with agentic frameworks and building LLM-powered applications
  </li>
  <li>
   Experience with sequential decision-making methods &mdash; Bayesian optimization, active learning, bandits, or reinforcement learning &mdash; applied to real-world systems
  </li>
  <li>
   Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Considerations
  <br/>
  <br/>
 </strong>
 This role could be based in our
 <strong>
  Cambridge, London, Amsterdam or Berlin offices
 </strong>
 , with the expectation of being
 <strong>
  in the office three days per week
 </strong>
 . Additionally, there may be regular travel required to our other offices for collaboration and project oversight.
 <br/>
 <br/>
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 <br/>
 <br/>
 <strong>
  What we offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A competitive salary: We value and reward impact and growth
  </li>
  <li>
   Equity in CuspAI: You have a stake in the success of the company
  </li>
  <li>
   Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
  </li>
  <li>
   &lsquo;Gold Standard&rsquo; parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
  </li>
  <li>
   Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
  </li>
  <li>
   Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
  </li>
  <li>
   True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
  <br/>
  <br/>
 </strong>
 <strong>
  CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 </strong>
 . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
 <br/>
 <br/>
 <strong>
  We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
  <br/>
  <br/>
 </strong>
 <strong>
  Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
  <br/>
  <br/>
 </strong>
</div>


Applied AI/ML Engineer (Agents)

Tribe28

<div>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, create, own, and maintain systems and service deployments
  </li>
  <li>
   Continuously improve infrastructure for better scalability, security, and
  </li>
 </ul>
 <p>
  fault tolerance
 </p>
 <ul>
  <li>
   Integrate DevOps methodology into development, deployment, and
  </li>
 </ul>
 <p>
  operations lifecycle
 </p>
 <ul>
  <li>
   Create super clean, well-structured, efficient deployment, monitoring, and
  </li>
 </ul>
 <p>
  application management scripts
 </p>
 <ul>
  <li>
   Enable rapid deployment of new product features with the necessary
  </li>
 </ul>
 <p>
  safeguards to maintain stability, high availability, and performance
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <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>
 <p>
  software (preferably via Azure Devops)
 </p>
 <ul>
  <li>
   Strong experience using logging and monitoring tools to improve observability
  </li>
 </ul>
 <p>
  across systems (e.g.(Grafana, Kibana, Prometheus, Collected)
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  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!
 </p>
</div>


DevOps Engineer

myTomorrows

<div><p><b>About myTomorrows</b></p><p>
myTomorrows is a global health tech company dedicated to breaking down barriers for patients seeking treatment options.
</p><p>We strive to enable earlier and better treatment access by bridging the gap between those searching for possible options, and the companies who develop them. We work closely with patients, healthcare professionals, trial sites, patient advocacy groups, and BioPharma &ndash; connecting key stakeholders in the drug development ecosystem.
</p><p>We&rsquo;ve developed a cutting-edge AI-powered technology platform that simplifies and streamlines access to drugs in development. To support our users and clients, we have a range of industry-expert specialized teams ready to help. Our services include clinical trial patient recruitment, Expanded Access Program management and Real-World Data collection.
</p><p>With a global footprint spanning 134 countries, to date we&rsquo;ve supported over 17,000 patients, 3,000 physicians and 350 sites, earning the trust of 60+ BioPharma companies. In October 2025, we closed a &euro;25M investment with Avego Healthcare Capital to fuel our global ambitions and scale the business.
</p><p>Join us in shaping the future of treatment access - making tomorrow&rsquo;s therapies accessible for people who need them today.</p><p></p><h2 class="jobSectionHeader"><b>
The opportunity: Applied AI Engineer</b></h2><p>
As <b>Applied AI Engineer</b> at myTomorrows, you will help us become more AI-native in how we work, build, and deliver value to patients, physicians, trial sites and (bio-)pharma partners. Your primary focus is internal: the teams, workflows, and operational processes inside myTomorrows.</p><p>
This is not a pure research role, and it is not a &ldquo;prompt engineer&rdquo; role. You are an experienced software engineer who knows how to build reliable systems, and who is experienced with the possibilities created by LLMs, agents, AI-assisted coding, retrieval, workflow automation, and internal tooling.</p><p>
You will work as part of our AI Acceleration initiative: a small, high-leverage team focused on safely applying AI across the organization. You embed with internal teams, e.g. Operations, Regulatory, Commercial, Marketing, to find the highest-leverage points of intervention, build production-ready solutions, and leave behind systems that teams can own and operate without you.</p><p>
A key part of the role is not just building things yourself, but helping myTomorrows learn how to build with AI. You will help define reusable patterns, guardrails, evaluation approaches, and engineering practices so that AI-assisted work becomes reliable, secure, maintainable, and scalable.</p><p>
Given that most of our team is located in the Netherlands, we only consider candidates for this position who live within commuting distance of our office in Amsterdam.</p><p></p><h2 class="jobSectionHeader"><b>
How you work</b></h2><p>
Each engagement follows the model of a &ldquo;Forward Deployed Engineer&rdquo;:</p><p><b>
Insertion.</b> When you start a mission, you sit with the people who do the actual work: not the people who manage them. You watch, you ask questions, and you map what's really happening: the tools, the manual steps, the tribal knowledge, the workarounds that nobody questions anymore. Your first deliverable is not code. It is a situational awareness map.</p><p><b>
Discovery.</b> From that map, you identify the highest-leverage intervention point: not the most technically interesting problem, but the one that, if solved, would make the most visible difference to the most people in the shortest time.</p><p><b>
Delivery.</b> You build production-capable solutions on real data with measurable success criteria defined upfront. You identify an internal champion in week one who will own the system after you leave, and you embed them in the work from the start.</p><p><b>
Handoff.</b> You leave behind a running system, not a prototype. You leave behind an eval framework and runbook so the system doesn't rot. And you leave behind an AI substrate &mdash; connectors, pipelines, and workflow patterns &mdash; that makes the next mission faster.</p><p></p><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do in this role</b></h2><ul><li><p>
Build production-capable AI-enabled internal tools, workflow automations, agents, and integrations that solve real business problems by embedding with internal teams.</p></li><li><p>
Use modern LLM capabilities such as structured outputs, tool calling, retrieval-augmented generation, agentic workflows, prompt/context engineering and creating evals.</p></li><li><p>
Help teams translate ambiguous business problems into clear, testable, AI-assisted delivery plans.</p></li><li><p>
Build backend services, APIs, integrations, and internal applications using modern software engineering practices.</p></li><li><p>
Work closely with Product, Engineering, QA, DevOps, Data, Legal, Privacy, and Security to ensure AI-built software is safe, secure, observable, and maintainable.</p></li><li><p>
Design and implement evaluation approaches for AI systems, including test sets, human review loops, quality criteria, failure mode analysis, and monitoring.</p></li><li><p>
Create reusable playbooks, templates, prompts, Skills, MCPs and examples that help other teams adopt AI effectively.</p></li><li><p>
Help assess whether a solution should remain a lightweight internal tool, be transferred to a business owner, be hardened by Product &amp; Engineering, or be stopped.</p></li><li><p>
Stay up to date with the rapidly evolving AI engineering landscape and translate relevant developments into practical opportunities for myTomorrows.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What you bring to the table</b></h2><ul><li><p><b>
3+ years of professional software engineering experience</b>, ideally in a product, platform, backend, fullstack, startup, or scale-up environment.</p></li><li><p>
Strong software engineering fundamentals. You have built and maintained real systems before (and before vibe-coding was thing), and you know that shipping reliable software is about more than generating code.</p></li><li><p>
Experience with backend development, ideally with <b>Python</b> and modern API development.</p></li><li><p>
Experience with relational databases such as <b>MySQL, PostgreSQL, or Oracle</b>.</p></li><li><p>
Experience with cloud platforms such as <b>AWS, Azure, or GCP</b>.</p></li><li><p>
Strong understanding of testing, code review, observability, security, documentation, and maintainability.</p></li><li><p>
Hands-on experience with the modern essentials of AI agents, agentic engineering and AI coding tools: LLM APIs, agents, RAG, MCPs, Skills, workflow automation and AI-enabled product development.</p></li><li><p>
Ability to work independently in ambiguous environments, while communicating clearly with technical and non-technical stakeholders.</p></li><li><p>
Strong product sense: you care about solving the actual problem, not just using the newest tool.</p></li><li><p>
A pragmatic startup mentality: you can move fast, make sensible trade-offs, and know when to prototype, when to harden, and when to stop.</p></li><li><p>
Excellent English communication skills.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><ul><li><p>
Experience with <b>FastAPI, Pydantic, SQLAlchemy, uv, ruff, pre-commit, GitHub Actions</b>, or similar tools.</p></li><li><p>
Experience with <b>AWS-native architectures</b>, infrastructure as code, Terraform, serverless, Kubernetes, or cloud-native platform work.</p></li><li><p>
Experience with frontend development, especially <b>Angular</b>, <b>React</b>, TypeScript, or fullstack personal projects.</p></li><li><p>
Experience building internal tools, developer tools, workflow automation, or operations tooling.</p></li><li><p>
Experience with AI evaluation frameworks, model monitoring, prompt/version management, or human-in-the-loop review systems.</p></li><li><p>
Experience with healthcare, pharma, clinical research, regulated environments, privacy-sensitive data, or compliance-heavy workflows.</p></li><li><p>
Experience with tools such as Claude Code, Codex, Cursor, GitHub Copilot, LangChain/LangGraph, LlamaIndex, n8n, or similar AI/workflow platforms.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What success in the first 6 months looks like</b></h2><ul><li><p>
You have built trust with Product, Engineering, DevOps, Data, and business stakeholders by delivering useful AI-enabled solutions without creating unmanaged technical debt.</p></li><li><p>
You have delivered 2-3 high-impact AI Acceleration missions, such as an internal tool, workflow automation, agentic engineering improvement, or AI-assisted product delivery pilot.</p></li><li><p>
You have shipped production-capable software with clear ownership, tests, documentation, observability, and security considerations.</p></li><li><p>
You have created reusable templates, prompts, scripts, or examples that other teams can use.</p></li><li><p>
You have helped teams understand where AI is genuinely useful, where it is not ready yet, and what guardrails are needed.</p></li><li><p>
You have contributed to a culture where AI-assisted engineering is judged by objective production outcomes: correctness, security, maintainability, observability, and business value.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Current tech stack</b></h2><p>
We are fully cloud-native, leveraging AWS and adopting a lean, API-first product development approach driven by modern cloud technologies and thoughtful design practices. Our current Backend Engineer posting describes a stack including Python, FastAPI, Pydantic, SQLAlchemy, MySQL/PostgreSQL, Angular, GitHub Actions, Renovate, ruff, uv, pre-commit, Docker, Docker Compose, Kubernetes, Terraform, DynamoDB, and Neo4j.</p><p>
As Applied AI Engineer focused on internal use cases, you will often work in lighter-weight stacks like scripts, Skills, MCPs, APIs, workflow tools, internal dashboards rather than full product infrastructure. Familiarity with the product stack is useful context, but your day-to-day tooling will be shaped by the mission.</p><p></p><h2 class="jobSectionHeader"><b>
What we offer</b></h2><ul><li><p>
Impactful work that helps patients gain access to potentially lifesaving treatments.</p></li><li><p>
A unique opportunity to help define how a HealthTech scale-up becomes AI-native.</p></li><li><p>
International work environment, scale-up energy, and a flat organizational structure that encourages creativity and accountability.</p></li><li><p>
Competitive salary, annual performance bonus, and an Employee Stock Option Plan.</p></li><li><p>
Great career development opportunities in a fast-growing company.</p></li><li><p>
Learning and development budget alongside internal knowledge-sharing sessions.</p></li><li><p>
Attractive pension plan, full premium covered by myTomorrows.</p></li><li><p>
Hybrid working model.</p></li><li><p>
Policies to support working parents.</p></li><li><p>
Healthy lunch at the thriving Amsterdam office.</p></li><li><p>
Unlimited access to professional guidance by certified psychologists via OpenUp.</p></li><li><p>
Monthly events hosted by our vibrant Culture Club as well as an annual myTomorrowland company-wide celebration.</p></li></ul><p></p><p><b>
Equal opportunities</b></p><p>
myTomorrows is an Equal Opportunity Employer and, beyond upholding discrimination-free practices, we are committed to cultivating a workplace where difference and diversity are protected and celebrated. The best work comes from our best selves, and we go to great lengths in supporting our team members to be just that.</p></div>

Applied AI Engineer

TomTom

<div><div><p>We are building a high-performance ADAS Online team focused on advancing state-of-the-art machine learning and AI algorithms for scene understanding and environmental awareness. As ML Staff Engineer, you will drive the algorithmic direction of our present and future in-vehicle spatial awareness stack while remaining deeply hands-on in model design, experimentation, and performance improvement. You will contribute as a senior technical authority and mentor within a small, high-velocity team.</p>
<p>
This spatial awareness stack will leverage modern transformer and end-to-end architectures to transform vehicle sensor data along with real-time 3D map data from the cloud into a 3D, semantically defined environment identifying all static and dynamic objects. This is a high-ownership technical role in a fast-moving, data-driven AI environment.</p>
</div>
<h3 class="jobSectionHeader"><b>What You'll Do</b></h3><div>
<ul><li>Define and drive the technical direction for physical AI algorithms</li>
<li>Define and execute on a technical roadmap towards state-of-the-art reinforcement learning using physical AI world models.</li>
<li>Design, implement, and improve ML / vision transformer models for 3D awareness and planning. These include Gaussian Splatting (3DGS), Diffusion, object detection, multi-object tracking, semantic segmentation, and occupancy modeling</li>
<li>Architect multi-modal fusion approaches (camera, LiDAR, RADAR) to build 3D environments</li>
<li>Per the roadmap, identify where larger end-to-end models should replace more traditional approaches</li>
<li>Apply advanced ML techniques (Transformers, representation learning, large-scale models) to improve perception performance</li>
<li>Lead structured experimentation and benchmarking to deliver measurable gains in accuracy and robustness</li>
<li>Translate research ideas into reliable, scalable ML solutions</li>
<li>Provide technical guidance and mentorship to perception engineers</li>
</ul></div><h3 class="jobSectionHeader"><b>What You'll Need</b></h3><div>
<ul><li>7+ years of experience in machine learning, vision transformers, diffusion, or computer vision</li>
<li>Deep expertise in modern deep learning architectures</li>
<li>Strong hands-on experience with PyTorch (or equivalent frameworks)</li>
<li>Proven experience building and iterating on large-scale ML models</li>
<li>Strong mathematical foundations in optimization and probabilistic modeling</li>
<li>Track record of delivering measurable improvements in ML system performance</li>
<li>Experience guiding technical decisions within a small engineering team</li>
</ul></div><h3 class="jobSectionHeader"><b>What's Nice to Have</b></h3><div>
<ul><li>Experience in autonomous systems or robotics perception</li>
<li>Publications or patents in machine learning or perception</li>
<li>Experience with 3D data representations (gaussian spatting, point clouds, BEV, voxel grids) and 3D engines like Unity</li>
<li>Familiarity with large-scale training or foundation models</li>
<li>Experience mentoring engineers in advanced ML topics</li>
</ul></div><div><b>What we offer<br>
</b></div><div></div><br>
<div>A competitive compensation package, of course.</div><div></div><div><br>
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O&rsquo;Reilly and LinkedIn Learning.</div><div></div><div><br>
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.<br>
</div><div></div><br>
<div>Work flexibility, where TomTom&rsquo;ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It&rsquo;s all about getting the best out of both worlds &ndash; we ask TomTom&rsquo;ers to come to the office two days a week, and the remaining three are free to be worked in either location.</div><div></div><div><br>
Improve your home office with a setup budget and get extra support with a monthly allowance.</div><div></div><div><br>
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we&rsquo;re mapping.</div><div></div><div><br>
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.</div><div></div><div><br>
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.</div><div></div><div><br>
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community &ndash; we have over 80 nationalities at TomTom!</div><div></div><div><br>
Find out more about our global benefits and enjoy additional local benefits tailored to your location.</div><div></div><div><b><br>
Meet your team</b></div><div></div><div><br>
We are the ADAS &amp; ADS Product Unit, leading the production of TomTom&rsquo;s HD maps and ADAS technology.
</div><div>In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you&rsquo;ll collaborate on groundbreaking location-based technologies and applications.</div><div>
More specifically, you&rsquo;ll be at the forefront of the creation of advanced HD maps. You&rsquo;ll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.<br>
</div><div></div><br>
<br>
<div><b>At TomTom...</b></div><div></div><div><br>
You&rsquo;ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.</div><div></div><div><br>
Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we&rsquo;ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.</div><div></div><div><b><br>
After you apply</b></div><div></div><div><br>
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.</div><div></div><div><b><br>
TomTom is an equal opportunity employer</b></div><div></div><div><br>
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, <i>you</i>. No matter your culture or background, you&rsquo;ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we&rsquo;d love to hear from you.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Machine Learning Staff Engineer – ADAS Online

Hadrian

<div>
 <em>
  Are you obsessed with
 </em>
 <strong>
  <em>
   building cloud-native platforms
  </em>
 </strong>
 <em>
  that enable engineers to operate at internet scale?
  <br/>
  <br/>
 </em>
 <em>
  Then join us as our new
 </em>
 <strong>
  <em>
   Infrastructure Engineer
  </em>
 </strong>
 <em>
  and be part of defining the next generation of the Infrastructure platform at
 </em>
 <strong>
  <em>
   Hadrian
  </em>
 </strong>
 <em>
  !
  <br/>
  <br/>
 </em>
 <strong>
  <strong>
   Who are we:
   <br/>
   <br/>
  </strong>
 </strong>
 We are
 <strong>
  Hadrian
 </strong>
 - an
 <strong>
  offensive cybersecurity
 </strong>
 startup. We are reshaping the future of cybersecurity through the power of agentic AI injected with the hacker&rsquo;s perspective. Founded in August 2021, we've secured funding and the backing of ABN AMRO Ventures and Cherry Ventures, propelling us into a new era.
 <br/>
 <br/>
 Our goal is to provide companies with an
 <strong>
  autonomous Threat Exposure Management
 </strong>
 platform. At Hadrian, we view security through a hacker's eyes because hackers understand hackers best. We continuously map the digital footprint of organisations, discover risks, and prioritise remediation for security teams to harden their external attack surfaces.
 <br/>
 <br/>
 Located in
 <strong>
  Amsterdam
 </strong>
 's buzzing Leidseplein, by
 <strong>
  London
 </strong>
 's famous Paddington Station, and our most recent US HQ in the heart of
 <strong>
  New York City
 </strong>
 , our diverse team from 25+ countries is on a mission to shake things up in offensive security. Join us in making waves and securing over 700 businesses, and be at the forefront of automated offensive security.
 <br/>
 <br/>
 <strong>
  Your role:
  <br/>
  <br/>
 </strong>
 As an
 <strong>
  Infrastructure Engineer
 </strong>
 at Hadrian, you will design, build, and evolve the cloud-native platform that powers our offensive security operations. You will enable engineering teams to move faster, deploy safely, and operate reliably by creating scalable self-service infrastructure and resilient platform capabilities.
 <br/>
 <br/>
 This role is ideal for engineers who enjoy combining deep infrastructure expertise with a strong software engineering mindset. We're looking for someone who thrives on automation, reliability, and platform design, and who sees infrastructure as a product that empowers others to do their best work.
 <br/>
 <br/>
 If you enjoy solving complex distributed systems challenges, building developer-friendly platforms, and creating the foundations that allow autonomous security systems to operate at scale, we would love to hear from you
 <br/>
 <br/>
 <strong>
  <strong>
   What you will do as an Infrastructure Engineer at Hadrian:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Help build and maintain the cloud-native platform that powers Hadrian's offensive security systems.
  </li>
  <li>
   Design and automate infrastructure delivery using Infrastructure-as-Code, enabling scalable and self-service platform capabilities.
  </li>
  <li>
   Manage and improve our Kubernetes environment, ensuring reliability, performance, and security.
  </li>
  <li>
   Collaborate closely with software engineers to improve deployment workflows, developer experience, and platform adoption.
  </li>
  <li>
   Operate and optimize our core cloud infrastructure on AWS, while supporting our distributed scanning environments.
  </li>
  <li>
   Improve observability, monitoring, incident response, and platform reliability across critical systems.
  </li>
  <li>
   Help implement platform standards, security controls, and engineering best practices that enable teams to move quickly and safely.
  </li>
  <li>
   Take on a unique challenge. We&rsquo;re building autonomous security systems that continuously analyze internet-scale attack surfaces. You'll help create the platform that makes this possible.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   You are fit for this job because you:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Have 3-5 years of experience as an Infrastructure Engineer, Platform Engineer, DevOps Engineer, SRE, or similar role.
  </li>
  <li>
   Have hands-on experience with Kubernetes, AWS, and Terraform (/OpenTofu), and are comfortable operating cloud-native infrastructure in production environments.
  </li>
  <li>
   Are comfortable managing core environments on AWS while extending workloads into secondary cloud environments used for scanning.
  </li>
  <li>
   Have a solid foundation in systems engineering, containerization (Docker), and distributed systems.
  </li>
  <li>
   Are experienced with automation and CI/CD tooling, such as Terraform, Ansible, Jenkins, or GitLab CI.
  </li>
  <li>
   Enjoy building platforms, tooling, and automation that help engineering teams move faster and more safely.
  </li>
  <li>
   Possess strong troubleshooting and problem-solving skills, and enjoy solving reliability, scalability, and operational challenges.
  </li>
  <li>
   Use AI pragmatically to accelerate workflows while maintaining high standards of reliability and security.
  </li>
  <li>
   Communicate clearly and collaborate effectively across technical teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Bonus points if you have:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Experience with KNative, event-driven architectures, or service mesh technologies.
  </li>
  <li>
   Experience with Kafka or other distributed messaging systems.
  </li>
  <li>
   Hands-on experience with observability and monitoring tooling.
  </li>
  <li>
   Familiarity with Site Reliability Engineering (SRE) practices.
  </li>
  <li>
   Certifications related to Kubernetes such as CKA, CKAD, or AWS certifications.
  </li>
  <li>
   Contributions to open-source infrastructure or cloud-native projects.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Our Stack:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   GoLang / Python
  </li>
  <li>
   KNative Serving &amp; Eventing / Kafka / Redis
  </li>
  <li>
   Docker / Kubernetes / Helm Charts
  </li>
  <li>
   Terraform / OpenTofu
  </li>
  <li>
   PostgreSQL / BigQuery
  </li>
  <li>
   AWS / GCP / SCW (plus)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Benefits at Hadrian:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Permanent contract
  </li>
  <li>
   Unlimited paid holiday
  </li>
  <li>
   Stock options package
  </li>
  <li>
   Mobile phone stipend
  </li>
  <li>
   Work-from-home budget
  </li>
  <li>
   Business travel card
  </li>
  <li>
   Swapfiets
  </li>
  <li>
   Referral bonuses
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Why you want to be part of Hadrian:
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  Make the internet safer:
 </strong>
 We enable companies to protect their customers, employees, and other stakeholders from malicious hackers by providing real-time Exposure Management from the Hacker&rsquo;s perspective
 <br/>
 <br/>
 <strong>
  Board a primed rocket ship:
 </strong>
 Hadrian is growing fast; the team is approaching 90 wonderful people, notable customers are signed, and significant funding is raised. Now is the time to join our high-growth journey
 <br/>
 <br/>
 <strong>
  Be part of a strong and dynamic culture:
 </strong>
 Our values define who we are as a group and serve as the cornerstones to guide us in building a product that our customers love. At Hadrian, we achieve this by championing a culture that takes ownership, succeeds together, increases velocity, and pursues growth
 <br/>
 <br/>
 <strong>
  <strong>
   Sounds like the role for you? Apply now!
   <br/>
   <br/>
  </strong>
 </strong>
 <em>
  Our clients are seeking a world-class and reliable digital security service. That is exactly what we are offering. Therefore, a background check will be part of the process.
 </em>
</div>


Infrastructure Engineer

Explore 157+ Automation software engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.