machine learning 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

<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

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/>
 <strong>
  📆 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>


Senior 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

Cloudbeds

<div>
 <p>
  <span>
   <strong>
    <br/>
    What Makes Us Unique&nbsp;
    <br/>
    <br/>
   </strong>
  </span>
 </p>
 <p>
  At Cloudbeds, we're not just building software, we&rsquo;re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 &ndash; but we're just getting started.&nbsp;
 </p>
 <p>
  <strong>
   Location - Remote (Europe)
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  <strong>
   How You'll Make an Impact:
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  As a
  <strong>
   Staff Machine Learning Engineer
   <br/>
   <br/>
  </strong>
  , you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.
 </p>
 <p>
  You&rsquo;ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You&rsquo;ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you&rsquo;ll own the end-to-end development of our revenue management application&mdash;ensuring hotels have the reliable, accurate insights they need to maximize their success.
 </p>
 <p>
  <strong>
   Our Machine Learning Team:
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms.&nbsp;
 </p>
 <p>
  We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency.&nbsp;
 </p>
 <p>
  People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.
 </p>
 <p>
  <strong>
   What You Bring to the Team:
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker)
  </li>
  <li>
   Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale.
  </li>
  <li>
   Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices.
  </li>
  <li>
   Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps.
  </li>
  <li>
   Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions.
  </li>
  <li>
   Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies.
  </li>
 </ul>
 <p>
  <strong>
   What Sets You Up for Success:
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production.
  </li>
  <li>
   Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
  </li>
  <li>
   Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms)
  </li>
  <li>
   Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms.
  </li>
  <li>
   Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes).
  </li>
  <li>
   Expert-level SQL skills and experience working with large datasets for analysis and modeling.
  </li>
  <li>
   Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
  </li>
  <li>
   Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.
  </li>
  <li>
   Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
  </li>
 </ul>
 <p>
  <strong>
   Bonus Skills to Stand Out (Optional):
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
  </li>
  <li>
   Experience with data quality monitoring tools and frameworks.
  </li>
  <li>
   Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field.&nbsp;
  </li>
 </ul>
 <p>
 </p>
 <span>
  <strong>
   <br/>
   What to Expect - Your Journey with Us&nbsp;
   <br/>
   <br/>
  </strong>
 </span>
 <p>
  Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold &ndash; we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
 </p>
 <p>
  Learn more online at
  <span>
   cloudbeds.com
  </span>
 </p>
 <span>
  <strong>
   <br/>
   Company Awards to Check Out!&nbsp;
   <br/>
   <br/>
  </strong>
 </span>
 <ul>
  <li>
   Best All-In-One Hotel Management System | HotelTechAwards (2025)
  </li>
  <li>
   Overall 10 Best Places to Work | HotelTechAwards (2025)
  </li>
  <li>
   Most Loved Workplace&reg; Certified (2024)&nbsp;
  </li>
  <li>
   Top 10 People&rsquo;s Choice(2024)
  </li>
  <li>
   Deloitte Technology Fast 500 (2024)
  </li>
 </ul>
 &nbsp;
 <span>
  <strong>
   <br/>
   Discover our Benefits:
   <br/>
   <br/>
  </strong>
 </span>
 <ul>
  <li>
   Remote First, Remote Always&nbsp;
  </li>
  <li>
   PTO in accordance with local labor requirements
  </li>
  <li>
   Monthly Wellness Fridays - enjoy an extra long weekend every month
  </li>
  <li>
   Full Paid Parental Leave
  </li>
  <li>
   Home office stipend based on country of residency
  </li>
  <li>
   Professional development courses in Cloudbeds University
  </li>
  <li>
   Access to professional development, including manager training, upskilling and knowledge transfer.
  </li>
 </ul>
 <span>
  <strong>
   <br/>
   Everyone is Welcome - A Culture of Inclusion&nbsp;&nbsp;
   <br/>
   <br/>
  </strong>
 </span>
 <p>
  <em>
   Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
  </em>
 </p>
 <p>
  <em>
   Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at
   <span>
    accommodations@cloudbeds.com
   </span>
   . Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
  </em>
 </p>
 <p>
  <em>
   To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
  </em>
 </p>
 <p>
 </p>
</div>


Staff ML Engineer

SoTalent

<div>
 <p>
  Data Scientist
 </p>
 <p>
  <strong>
   📍 Amsterdam, Netherlands | Hybrid/Flexible Working
  </strong>
 </p>
 <p>
  An exciting opportunity is available for a
  <strong>
   Data Scientist
  </strong>
  to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.
 </p>
 <p>
  Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Design, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.
  </li>
  <li>
   Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.
  </li>
  <li>
   Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.
  </li>
  <li>
   Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.
  </li>
  <li>
   Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.
  </li>
  <li>
   Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.
  </li>
  <li>
   Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.
  </li>
  <li>
   Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.
  </li>
  <li>
   Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.
  </li>
 </ul>
 <p>
  Skills &amp; Experience
 </p>
 <ul>
  <li>
   Experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.
  </li>
  <li>
   Strong Python programming skills with experience writing clean, well-tested and maintainable code.
  </li>
  <li>
   Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.
  </li>
  <li>
   Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.
  </li>
  <li>
   Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.
  </li>
  <li>
   Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.
  </li>
  <li>
   Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.
  </li>
  <li>
   Excellent communication and collaboration skills with experience working across multidisciplinary teams.
  </li>
 </ul>
 <p>
  What's on Offer
 </p>
 <ul>
  <li>
   Flexible working arrangements supporting work-life balance.
  </li>
  <li>
   Hybrid working environment.
  </li>
  <li>
   Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.
  </li>
  <li>
   The opportunity to work on cutting-edge AI, NLP and machine learning technologies.
  </li>
  <li>
   A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.
  </li>
  <li>
   Competitive salary and comprehensive benefits package.
  </li>
 </ul>
 <p>
  If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.
 </p>
</div>


Data Scientist

Pancompany

<div>
 <p>
  <strong>
   Wat ga je doen.
  </strong>
 </p>
 <p>
  Organisaties zitten boordevol data. Jij bedenkt, ontwerpt en ontwikkelt als (Big) Data Engineer technische oplossingen voor ongestructureerde data vanuit de databron. Zodat deze data kan worden omgezet naar informatie, door bijvoorbeeld een dashboard te bouwen of door een grondige data-analyse te maken. Jouw werk heeft dus grote impact! Je draagt als Data Engineer direct bij aan de bestuurbaarheid en onderbouwing van de beslissingen die CEO&rsquo;s en managementteams dagelijks nemen.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Door jouw ervaring met softwareontwikkeling en data-infrastructuur ben je van meerwaarde voor iedere klant. Je werkt graag samen met data scientists om de door hen getrainde machine learning modellen in de praktijk tot een succes te maken. Daarnaast haal je jouw plezier uit het zo effici&euml;nt en effectief mogelijk inrichten van de streaming data pipelines van onze klanten.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Als Data Engineer begrijp je het belang van realtime kennis en zoek je dus zelfstandig naar mogelijke oplossingen voor de uitdagingen van onze klanten en werk je deze oplossingen uit. De technische rol die jij vertolkt helpt de klant bij de vertaling van hun probleem naar een oplossing door van het gebruik van de juiste Tech-stack.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Je werkt voor grote bedrijven zoals de Nederlandse overheid en top-200 bedrijven. En dat biedt jou de unieke kans om op grote schaal impact te maken. De complexiteit en omvang van de data bij deze bedrijven bieden uitdagende mogelijkheden voor een Data Engineer. Je bent betrokken bij projecten die de koers van deze bedrijven be&iuml;nvloeden en de besluitvorming van CEO&rsquo;s en managementteams ondersteunen, waardoor je bijdraagt aan hun succes en groei.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Jij wil de beste zijn in je werk en werken met de nieuwste technieken. Van ons krijg je dus alle ruimte om je te blijven ontwikkelen en deel te nemen aan trainingen, cursussen en seminars. Ben jij de Data Engineer die onze community komt versterken?
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Wij bieden.
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Salaris
   </strong>
   . Een onvoorwaardelijk en gegarandeerd basisinkomen, wat jou zekerheid geeft.
  </li>
  <li>
   <strong>
    Provisie
   </strong>
   . Naast het basissalaris deel je mee in de omzet met ons
   <strong>
    Solidshare
   </strong>
   beloningsmodel. En dat kan aardig oplopen.
  </li>
  <li>
   <strong>
    Zekerheid
   </strong>
   . Uiteraard krijg je een vast contract met prima secundaire arbeidsvoorwaarden.
  </li>
  <li>
   <strong>
    Vakantiedagen
   </strong>
   . Onbeperkt!
  </li>
  <li>
   <strong>
    Essentials
   </strong>
   . Een auto, laptop en telefoon, dat spreekt voor zich.
  </li>
  <li>
   <strong>
    Projecten
   </strong>
   . Samen kiezen we de projecten waar jij helemaal op je plek zit.
  </li>
  <li>
   <strong>
    Ontwikkeling
   </strong>
   . Opleidingen, trainingen en cursussen die bij je passen.
  </li>
  <li>
   <strong>
    Een stem
   </strong>
   . Laat je horen in onze
   <strong>
    Data Analytics
   </strong>
   competence.
  </li>
  <li>
   <strong>
    Our community
   </strong>
   . Deel kennis, successen en gezelligheid met collega&rsquo;s die net zo bezeten zijn van IT als jij.
  </li>
  <li>
   <strong>
    Events
   </strong>
   . Van onze jaarlijkse ski-trip naar Oostenrijk en de jubileumreis naar
   <strong>
    Dublin
   </strong>
   tot een MTB-clinic of running event. Van tweewekelijkse
   <strong>
    Dungeons &amp; Dragons
   </strong>
   -avonden tot familiedagen naar de Efteling.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Dit ben jij.
  </strong>
 </p>
 <p>
  Je hebt een relevant HBO of WO-diploma, bij voorkeur Computer Science of Artificial Intelligence. Je programmeert bij voorkeur met Java, Scala of Python.
 </p>
 <p>
  Je bent de Data Engineer die alles weet van noodzakelijke pipeline tooling als Kafka, Spark, Cassandra en containertooling als Docker, Airflow of Kubernetes. Bij voorkeur heb je ook al ervaring met cloud oplossingen (Microsoft Azure of AWS).
 </p>
 <p>
  Je bent analytisch sterk en kunt zelfstandig organisaties adviseren over de te nemen beslissingen. Tot slot spreek en schrijf je vloeiend Nederlands en Engels.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Bij Pancompany.
  </strong>
 </p>
 <p>
  Ben je de beste in je vak.
 </p>
 <p>
  Denk en handel je als een ondernemer.
 </p>
 <p>
  Maak je plezier en geniet je volop.
 </p>
</div>


Data Engineer

Explore 69+ Machine learning engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.