machine engineer

IMC Trading

<div>
 As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
 <br/>
 <br/>
 This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC&rsquo;s technology and trading capabilities.
 <br/>
 <br/>
 <strong>
  Your Core Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The opportunity to be in a brand new position in a growing team
  </li>
  <li>
   Develop large-scale distributed training pipelines to manage datasets and complex models
  </li>
  <li>
   Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
  </li>
  <li>
   Develop libraries to improve the performance of machine learning frameworks
  </li>
  <li>
   Maximize performance in training and inference using GPU hardware and acceleration libraries
  </li>
  <li>
   Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
  </li>
  <li>
   Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
  </li>
  <li>
   Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
  </li>
  <li>
   Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
  </li>
  <li>
   Dig into the internals of open-source ML tools to extend their capabilities and improve performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in machine learning with a focus on training or inference systems
  </li>
  <li>
   Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
  </li>
  <li>
   Strong engineering skills, including Python, CUDA, or C++
  </li>
  <li>
   Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
  </li>
  <li>
   Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
  </li>
  <li>
   Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
  </li>
  <li>
   Exposure to cloud platforms and orchestration tools
  </li>
  <li>
   A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <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>


Machine Learning Engineer

Xomnia

<div>
 <strong>
  About The Role And The Xomnia Culture
  <br/>
  <br/>
 </strong>
 At Xomnia, machine learning is more than model building - it&rsquo;s about engineering intelligent systems that deliver real value. As a Machine Learning Engineer, you&rsquo;ll work alongside passionate consultants to help our clients unlock the full potential of their data.
 <br/>
 <br/>
 From advancing cancer research to real-time fraud detection and electricity grid optimization, we work on projects that make a difference. Our culture thrives on curiosity, shared ownership, and the courage to challenge assumptions. We value people who enjoy experimenting, sharing knowledge, and working together to create AI solutions that last.
 <br/>
 <br/>
 <strong>
  Are you ready to take on this challenge?
  <br/>
  <br/>
 </strong>
 In this role, you&rsquo;ll develop and deploy machine learning models across diverse domains - from healthcare to logistics and finance. Whether you&rsquo;re designing recommender systems, deploying models to the cloud, or helping clients adopt MLOps practices, your consultancy skills will bring together technical excellence and business impact.
 <br/>
 <br/>
 <strong>
  Your role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement robust ML models that solve real-world problems.
  </li>
  <li>
   Build end-to-end ML pipelines - from feature engineering to deployment and monitoring.
  </li>
  <li>
   Collaborate with cross-functional teams to turn business needs into scalable solutions.
  </li>
  <li>
   Apply MLOps best practices such as CI/CD, versioning, testing, and automation.
  </li>
  <li>
   Deploy models on cloud platforms like Azure, AWS, or GCP.
  </li>
  <li>
   Work with tools like MLflow, Airflow, Docker, Kubernetes, and Spark.
  </li>
  <li>
   Stay up to date with the latest techniques, including Generative AI, and explore their application.
  </li>
  <li>
   Guide clients in building internal ML capabilities and following engineering best practices.
  </li>
  <li>
   Share your expertise through mentorship, demos, and internal learning sessions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring To The Table
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Preferable +/- 2-5 years of relevant experience in ML engineering, data science, or similar roles.
  </li>
  <li>
   A degree in Computer Science, AI, Data Science, or a related technical field.
  </li>
  <li>
   Strong coding skills in Python and experience with cloud environments (Azure, AWS, or GCP).
  </li>
  <li>
   Solid understanding of statistics and machine learning fundamentals.
  </li>
  <li>
   Experience building and deploying production-grade ML systems.
  </li>
  <li>
   Familiarity with Docker, CI/CD pipelines, infrastructure-as-code, and orchestration tools.
  </li>
  <li>
   A consulting mindset: you enjoy listening, collaborating, and turning needs into solutions.
  </li>
  <li>
   Fluent in English and Dutch.
  </li>
  <li>
   A drive to learn, improve, and share knowledge - both internally and with the broader tech community.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What&rsquo;s in it for you?
  <br/>
  <br/>
 </strong>
 We offer more than a job - we offer a platform for growth:
 <br/>
 <br/>
 <ul>
  <li>
   A monthly salary between &euro;3.800 - &euro;6.200 per month (based on 40 hours and excluding vacation allowance)
  </li>
  <li>
   &euro;5.000 annual development budget
  </li>
  <li>
   25 vacation days to fully recharge
  </li>
  <li>
   Secondary benefits such as pension, flexible working options (in terms working location) and the possibility to take unpaid leave
  </li>
  <li>
   Memorable company trips (Berlin this year!)
  </li>
  <li>
   The opportunity to grow along with our success through Stock Appreciation Rights
   <br/>
   <br/>
  </li>
 </ul>
 At Xomnia, we believe that collaboration, knowledge sharing, and personal development are the keys to our success. That&rsquo;s why we offer various trainings through our &lsquo;Learning Labs&rsquo; and organize a yearly Health Month. We also regularly enjoy boat trips through the Amsterdam canals with our own boat, and there is always a healthy (free) lunch and a bar at the office.
 <br/>
 <br/>
 <strong>
  Become a Xomnian!
  <br/>
  <br/>
 </strong>
 At Xomnia, we believe in using data and AI to tackle real-world challenges. With a team of passionate experts from 20+ nationalities and over 30% female representation, we celebrate diversity and welcome different perspectives.
 <br/>
 <br/>
 <strong>
  We Are Proud Of Our Core Values
  <br/>
  <br/>
 </strong>
 <strong>
  We are challengers
 </strong>
 ,
 <strong>
  we embrace agility
 </strong>
 , and
 <strong>
  we always share
 </strong>
 .
 <br/>
 <br/>
 Want to be part of this and take the next step in your career?
 <br/>
 <br/>
 <strong>
  Apply now or reach out to ezra.lammers@xomnia.com. We look forward to meeting you.
 </strong>
</div>


<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.</p><b><br>
Job Description</b><p><b><br>
What you will do</b><br>
As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.</p><p>
Your responsibilities include:</p><ul><li>
Leading an internal team towards the development of AI products;</li><li>
Working in a multidisciplinary team on client projects as an expert on your subject;</li><li>
Making architectural and design decisions for cloud environments;</li><li>
Building production level ML/AI solutions with solid software engineering;</li><li>
Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping);</li><li>
Giving trainings, leading internal meetings and organizing external events;</li><li>
Participating in team meetings and workshops with clients;</li><li>
Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead.</li></ul><p><b>
Who you will work with</b><br>
The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.</p><p><b>
Who you are</b></p><ul><li>
You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.</li><li>
You have first-rate project management and time management skills.</li><li>
You are a true problem solver, you turn complex issues into simple and impactful business solutions.</li><li>
You are enthusiastic for applying Data Science/Engineering solutions to business problems.</li><li>
You have excellent communication skills and can present complicated concepts in a synthetic way.</li><li>
You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.</li><li>
You have the ability to work collaboratively in a team environment.</li></ul><p><b>
In return, you can expect:</b></p><ul><li>
An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.</li><li>
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged</li><li>
A personal development plan with a regular follow-up as well training opportunities to develop yourself</li><li>
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.</li><li>
2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.</li><li>
Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).</li><li>
Expert coding skills in Python and at least one of these languages: Scala, C++, Java.</li><li>
Hands-on experience with database management languages (e.g., SQL, PostgreSQL).</li><li>
Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).</li><li>
Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).</li><li>
Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Experience with coaching/mentoring other engineers.</li><li>
Prior experience in Management Consulting is a strong plus.</li><li>
Willingness to travel and work at local and international clients.</li><li>
Fluency in spoken and written English and Dutch is required.</li></ul><br>
<b>
Additional Information</b><p><br>
We are unable to provide a work permit for this position</p><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p><div></div><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

Machine learning Engineer

Booking.com

<div>Role Description:
<div><b>
About Us:</b></div><div>
At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.</div><div></div><div><b><br>
Role Description:</b></div><div>
As a Machine Learning Engineer (MLE I), you contribute significantly to ML projects, taking ownership of tasks and driving them to completion. You are expected to work independently and proactively, leveraging your technical expertise to solve complex problems while collaborating closely with your team. You focus on technical execution and continuous learning, contributing to our engineering culture by sharing knowledge and insights.</div><div></div><div><br>
Understanding our travelers is a top priority at Booking. With millions of accommodations, flights, taxis, attractions, and car rentals available on our platform, we help people around the world find the best options for their journeys. Achieving this requires a deep understanding of traveler preferences, including those explicitly expressed through searches and filters, as well as those inferred from behavioral signals such as clicks and bookings. We also need to accurately interpret traveler intent: Why are they on our platform right now? Are they exploring options or already close to making a decision? Are they continuing a previous session, possibly on another device? And are they extending an existing trip as part of a Connected Trip, or starting an entirely new one?</div><div></div><div><br>
The Traveler Intelligence track, part of Booking.com&rsquo;s Marketplace organization, develops the core capabilities that make personalization at scale possible. It brings together traveler data and behavioral signals into a unified, real-time understanding of each traveler, enabling every product surface and AI-driven interaction to become more relevant and timely. By applying advanced Data &amp; AI techniques to interpret behavior and uncover intent, the track helps deliver more personalized, seamless, end-to-end experiences across the entire Booking platform.</div><div></div><div><b><br>
Key Job Responsibilities and Duties:</b></div><ul><li>
Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-time requirements, monitoring and retraining.</li><li>
Build readable and reusable code, applying code quality best practices and using standard libraries. Choose the right technology or coding methodology as well as refactor and simplify code when necessary.</li><li>
Take full ownership of your services end to end by actively monitoring the systems health, performance and business impact.</li><li>
Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of ML governance processes.</li><li>
Evaluate possible architecture solutions taking into account the business and technology requirements.</li><li>
Set the relevant service level objectives SLOs and act accordingly when they are not met.</li><li>
Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.</li><li>
Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these, as needed.</li><li>
Contribute to the internal ML/AI community by sharing your knowledge and participating in our internal ML programs.</li><li>
Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.</li><li>
Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of disciplines and related fields.</li><li>
Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practicing active listening</li></ul><div></div><div><b><br>
Qualifications &amp; Skills:</b></div><ul><li>
2+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems in a commercial environment.</li><li>
Experience in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, MLOps, etc.</li><li>
Work experience (or equivalent), involved with the application of Machine Learning to business problems, preferably in a commercial environment.</li><li>
Knowledge of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.</li><li>
Experience with data-driven product development: analytics, A/B testing, etc.</li><li>
Strong working experience in one or more general purpose programming languages; experience with Python and Spark</li><li>
Experience of version control systems</li><li>
Excellent English communication skills, both written and verbal</li></ul><div></div><div><b><br>
Benefits &amp; Perks - Global Impact, Personal Relevance:</b></div><div></div><div><br>
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:</div><ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li><li>
Living and working in Amsterdam, one of the most cosmopolitan cities in Europe</li><li>
Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide</li><li>
Working in a fast-paced and performance driven culture</li><li>
Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit</li><li>
Promote and drive impactful and innovative engineering solutions</li><li>
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation</li><li>
Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com</li></ul><div></div><div><b><br>
Diversity, Equity and Inclusion (DEI) at Booking.com:</b></div><div></div><div><br>
Diversity, Equity &amp; Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.</div><div></div><div><br>
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</div><div></div><div><br>
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.</div><div></div><div><b><br>
Application Process:</b></div><div>
This section should provide:</div><ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul><div></div><div><br>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</div>
Key Skills:
<p>
Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, MLOps, Python, SQL, PyTorch, Spark, Snowflake</p></div>

Machine Learning Engineer I

European Tech Recruit

<div>
 <p>
  <strong>
   Senior Machine Learning Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  European Tech Recruit are working closely with a multinational semiconductor company, based in Amsterdam, who are looking for a talented
  <strong>
   Senior Machine Learning Engineer
  </strong>
  to join their cutting edge future research group
  <strong>
   .
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Senior Machine Learning Engineer for their AI Research, you work directly with ML research teams to implement algorithms, conduct experiments, develop research-oriented software tools, as well as work together with both research and product teams to bring AI models to embedded devices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities as
  <strong>
   Senior Machine Learning Engineer
  </strong>
  :
 </p>
 <ul>
  <li>
   Rapid prototyping, large-scale experimentation and fast iteration, always emphasizing code quality, maintainability, and efficiency.
  </li>
  <li>
   Contribute to comprehensive system design and engineering efforts, facilitating the transition of research prototypes toward commercial deployment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <ul>
  <li>
   PhD or M.S. in computer science, electrical engineering, robotics, or a related field, or a B.S. with several years of employment in related fields.
  </li>
  <li>
   Excellent Python programming skills demonstrated through relevant industry or academic experience.
  </li>
  <li>
   Proven experience with machine learning and frameworks such as PyTorch and hands-on experience with training deep neural networks, generating and evaluating experimental results, and improving training pipelines.
  </li>
  <li>
   Proven experience with embedded computing and/or the Android platform, and a solid understanding of C++.
  </li>
  <li>
   Background in software development, incl. testing, debugging, and test-driven development.
  </li>
  <li>
   Ability to work in a multi-site software organization.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Desirable Experience:
 </p>
 <ul>
  <li>
   Strong software design, development, and debugging skills combined with a solid foundation in AI and general ML techniques.
  </li>
  <li>
   Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics.
  </li>
  <li>
   Experience with optimization of algebraic operations in algorithms for HW cores.
  </li>
  <li>
   Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning, etc.
  </li>
  <li>
   Familiarity with containerization tools, test frameworks and static analysis tools and ability to work with continuous integration infrastructure.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/).
  </em>
 </p>
</div>


Senior Machine Learning Engineer

Picnic Technologies

<div>
 In a nutshell
 <br/>
 <br/>
 As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company&rsquo;s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact.
 <br/>
 <br/>
 All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.
 <br/>
 <br/>
 Tricks of the trade
 <br/>
 <br/>
 You will definitely:
 <br/>
 <br/>
 <ul>
  <li>
   Identify and execute improvement possibilities together with other ML Engineers and (product) analysts
  </li>
  <li>
   Collaborate on your project from inception to production, to continuous improvement
  </li>
  <li>
   Develop tools and enhancements for our cloud-based Machine Learning platform
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 You could work on various projects and fields, such as:
 <br/>
 <br/>
 <ul>
  <li>
   Demand forecasting: delivery, article, trip volumes, used Picnic-wide
  </li>
  <li>
   Fraud detection: helping us keep troublemakers out of our store
  </li>
  <li>
   Recommendation systems: generating useful in-app grocery suggestions
  </li>
  <li>
   Search and ranking: helping our customers find exactly what they need
  </li>
  <li>
   Predicting delivery drop-off times: making sure we&rsquo;re on-time at every customer&rsquo;s door
  </li>
  <li>
   Vision: ensuring quality control and smooth operations within our warehouses
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Check out some of our previous machine learning projects here:  https://blog.picnic.nl/tagged/machine-learning
 <br/>
 <br/>
 We&rsquo;re looking for
 <br/>
 <br/>
 <ul>
  <li>
   Master&rsquo;s degree or higher in AI, Computer Science, Mathematics, or a related field
  </li>
  <li>
   5+ years of experience in data science or applied machine learning
  </li>
  <li>
   Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
  </li>
  <li>
   Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles
  </li>
  <li>
   Strong Python and SQL skills
  </li>
  <li>
   Able to define the long-term vision and technical architecture for ML solutions within your domain
  </li>
  <li>
   Experience with Docker, Kubernetes, and CI is a plus
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Picnic Perks
 <br/>
 <br/>
 <strong>
  🫱🏼&zwj;🫲🏾 Teamwork makes the dream work
  <br/>
  <br/>
 </strong>
 With more than 80 nationalities across 3 countries, you&rsquo;ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!
 <br/>
 <br/>
 <strong>
  💡 Make a difference
  <br/>
  <br/>
 </strong>
 You&rsquo;ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you&rsquo;ll also be contributing to making the world a better place!
 <br/>
 <br/>
 <strong>
  🥗 Fresh Lunch, coffee, and snacks
  <br/>
  <br/>
 </strong>
 Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.
 <br/>
 <br/>
 <strong>
  🚲 Health insurance discount &amp; bike plan
  <br/>
  <br/>
 </strong>
 We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate
 <br/>
 <br/>
 <strong>
  🌎 Relocation
  <br/>
  <br/>
 </strong>
 If you&rsquo;re moving from another country to join Picnic we make it as smooth as possible for you. We&rsquo;ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to &euro;2000), and help you with the 30% tax ruling setup and application.
 <br/>
 <br/>
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  📆 All the rest
  <br/>
  <br/>
 </strong>
 At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.
</div>


Protolabs

<div><div><b>Be yourself at Protolabs</b></div><div>
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams.</div><div></div><div><b><br>
Why Protolabs?</b></div><div>
We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It&rsquo;s our people who fuel our creativity and make our culture feel like home.</div><div></div><h2 class="jobSectionHeader"><b><br>
Join our team as a Senior Machine Learning Engineer in Amsterdam!</b></h2>
<div><div>The Senior Machine Learning Engineer plays a key role in advancing Protolabs&rsquo; intelligent pricing platform by building, maintaining, and improving machine learning models that power real‑time quoting for custom-manufactured parts. Working within a complex two-sided marketplace, this role focuses on modelling demand and supply dynamics to enhance pricing accuracy and automation, enabling scalable, data-driven decisions even before manufacturing cost inputs are available. The position partners closely with engineering, data, and product teams to deliver innovative solutions that improve pricing performance and support overall business growth.</div>
</div><h3 class="jobSectionHeader"><b>What you'll do:
</b></h3><div><ul><li>Develop, improve, and maintain machine learning models that capture demand and supply dynamics in a digital manufacturing marketplace</li>
<li>Build and refine pricing-related models, including cost estimation from CAD geometry, demand forecasting, and partner routing probability models</li>
<li>Apply a range of ML techniques such as tree-based methods, probabilistic models, and deep learning to solve both new and existing challenges</li>
<li>Design, build, and maintain reliable training and inference pipelines on AWS.Run offline experiments, including A/B testing and backtesting, to validate model improvements before deployment</li>
<li>Collaborate closely with ML engineers, data scientists, and domain experts in a cross-functional team.Translate complex marketplace inputs like part geometry, order history, and partner capacity into meaningful features for models</li>
<li>Monitor model performance in production and proactively identify and address drift or degradation</li>
<li>Stay up to date with advancements in machine learning, especially in pricing, marketplace modelling, and manufacturing intelligence</li>
<li>Mentor and support mid-level and junior engineers within the team</li>
</ul></div><h3 class="jobSectionHeader"><b>What it takes:
</b></h3><div><div><ul><li>Proven experience building and deploying machine learning models in production environments</li>
<li>Strong coding skills in Python (or similar), with experience using ML frameworks such as PyTorch, TensorFlow, or scikit-learn</li>
<li>Solid understanding of supervised and probabilistic modelling, including regression, classification, and uncertainty estimation</li>
<li>Experience with feature engineering from structured and/or geometric data</li>
<li>Hands-on experience with ML pipelines, model versioning, experiment tracking, and MLOps tools (e.g. Weights &amp; Biases, Prefect, Karpenter)</li>
<li>Comfortable working with real-world, messy data and solving ambiguous problems</li>
</ul><div><b>Nice to have</b></div>
<div><ul><li>Experience with marketplace or pricing models (e.g. demand modelling, price elasticity, cost estimation)</li>
<li>Background in operations research, econometrics, or supply chain optimisationExperience working with 3D or geometric data (e.g. CAD, point clouds, mesh processing)</li>
<li>Experience designing and scaling ML infrastructure for production systems</li>
<li>Strong communication skills with the ability to explain complex models to non-technical stakeholders</li>
<li>Experience with ML monitoring, alerting, and retraining workflows</li>
</ul></div></div></div><h3 class="jobSectionHeader"><b>Why Protolabs?</b></h3><div>
<ul><li>Part of our incredible journey is clearly down to our amazing team, and we strongly believe in giving people a space to truly, authentically be themselves. We also believe that treating our employees well and sprinkling a great place to work with some nice perks can make work a little sweeter.</li>
<li>Annual company bonus. We celebrate success together! Employees are not only rewarded for their achievements but also for contributing to the overall success of the business.</li>
<li>Wellness and well-being with access to OpenUp psychologists, practice mindfulness with Headspace and tons more.</li>
<li>Doggo-friendly office. We are big pet lovers and fully encourage hanging out with your (and your colleagues&rsquo;) furry friends in the office</li>
<li>Daily Lunch and snacks are provided in the office; it's a moment for our teams to connect and recharge. Shared meals strengthen our bonds and fuel collaboration.</li>
<li>We offer learning and development days to be used for training or on volunteering, money to spend on learning courses, events, trainings, Access to our in-house LEARN platform with diverse courses, training, and workshops, In-house 3D Printing and much more!</li>
<li>Follow us on Instagram to see what Life at Protolabs is all about!</li></ul></div></div><div></div>

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