
IMC · Amsterdam
Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10 weeks...
Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex,
real-world problems. Over 10 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze
large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and
options markets. You'll begin with a week of engaging, classroom-based learning in the proprietary trading landscape, then gain
hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative,
fast-paced environment where your work can have real-world impact. Split between our Amsterdam headquarters and time at our London
office, the program also gives you the chance to broaden your network across IMC's regions.
Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on-desk
training, while benefiting from professional development and networking opportunities. You'll receive comprehensive support from
dedicated internship trainers and a one-on-one mentor to guide you in your work and professional development. We offer a highly
competitive compensation package, including fully-furnished corporate accommodation and catered meals. High-performing interns may
be considered for a full-time Graduate Researcher position upon graduation.
innovate
related topics
another quantitative field
You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best
matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated
based on the specific criteria established for that particular role. If you have already applied for this position during the
current recruitment season and were not selected, you may reapply when the next recruitment season begins in August 2027. We
encourage you to focus on enhancing your skillset before reapplying.
Please note that IMC's internship program duration is less than 90 days, which unfortunately does not qualify for a Highly Skilled
Migrant visa. Because of this and current regulations with the Immigratie en Naturalisatiedienst (IND), IMC is unable to obtain
immigration sponsorship for candidates who currently have citizenship from Russia, Belarus or Iran, and attend university in one
of the aforementioned countries. We greatly appreciate your understanding and hope to consider you for future opportunities.
If you have citizenship from Ukraine, you will need to confirm that you currently hold a biometric passport so that IMC can obtain
the correct immigration sponsorship for you. Please confirm by emailing CampusEU@imc.com. If you are currently residing or
attending university outside of Russia, Belarus, or Iran, and have existing work authorisation in the Netherlands or are eligible
to work without sponsorship, we encourage you to apply and inform our campus recruitment team of your situation: CampusEU@imc.com.
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989,
we’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.
YOUR MISSION Job Description Nicolab is a healthcare company that seeks to connect human & artificial intelligence to revolutionize emergency care. We are looking for a talented and passionate ML Engineer I, who brings a customer-centric approach to creating healthcare products with a highly positive impact on people’s health. We believe the combination of artificial and human intelligence will revolutionize emergency care and we work each day to make that happen. Founded in 2015 as a spin-off from the Amsterdam University Medical Center, our research background continues to drive our way of thinking. We have a diverse team from all corners of the world, composed of researchers, developers and experienced medical specialists who ensure our product and services match our clients' needs. We’re first tackling the major issue of stroke, the leading cause of life-long disability, where we will ensure every patient gets the right treatment in time. Watch more here. As our Machine Learning Engineer, you will be a crucial team member and will develop algorithms for medical imaging applications. You will work closely with other machine learning engineers to develop biomarkers for Computed Tomography images, with software engineers to deploy the models on the cloud infrastructure, and with clinical specialists to validate the algorithms. We are looking for someone who is inquisitive and eager to learn, to build AI powered medical devices that will bring positive change in the world. Key Responsibilities * Work with other Machine Learning Engineers to develop and maintain algorithms for stroke diagnosis, primarily on Computed Tomography images * Research the literature, implement and modify deep learning and computer vision algorithms based on product requirements * Collaborate with backend/cloud engineers to bring ML models into production on GCP/AWS * Unit test development * Design, implement, and test complex data pipelines to support training and validation of algorithms * Create technical documentation about the algorithms and design intuitions * Analyze and collect insights from the complex medical data YOUR PROFILE Qualifications * Good Python development skills, and scientific Python stack, i.e. Numpy and Scipy * 0-2 years of experience with deep learning for computer vision * PhD required (PhD student at least) * Hand-on experience with machine learning frameworks, like PyTorch * Experience with 2D and 3D object detection * Experience with building deep learning products and deploying them * Experience with reinforcement learning for computer vision and NLP * Experience with Docker * Knowledge of DICOM protocol * Experience with SimpleITK * Experience with public cloud, i.e. GCP and AWS WHY US? We Offer You * Chance to make a real difference in patients' lives * Work in a stimulating environment with a motivated team * Flexible Employment Agreement: Part time / Fulltime / Freelance * Flexible working hours * Laptop + home office/IT equipment* * Employee Stock Option Plan (ESOP)* * Corporate programs including Employee Referral Program with rewards * Learning & Development opportunities including in-house training and coaching, professional certifications, and over 22,000 courses on LinkedIn Learning Solutions and much more. *All benefits and perks are subject to certain eligibility requirements Application Process * Interview with Recruiter/HR * Interview with Hiring Manager * Technical assessment with Peers (no managers present) * Prior employment verification check (reference/background check) * Interview with Executive
Flow Traders is looking for a Senior Research Engineer, successful candidate will be relocated to our Hong Kong Office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities. As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves. WHAT YOU WILL DO * Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production * Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals WHAT YOU NEED TO SUCCEED * Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar * 8+ years of hands-on experience MLOps, Research Engineering, or ML Research * A strong background in mathematics and statistics * Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray. * Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring * Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability) * Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes) Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.
YOUR MISSION We are seeking a visionary Head of Data to join our team in Amsterdam. This is a pivotal role overseeing our data strategy, ensuring the seamless integration and utilization of data across the organization. You will be responsible for driving data initiatives, developing and promoting a data-driven culture, and managing a talented team of data professionals. You must be passionate about data, discovery, optimization problems, hypothesis testing and R&D, and have a proven track record in internet marketing, OLAP, statistics, machine learning, and SQL. YOUR PROFILE KEY RESPONSIBILITIES: * Lead and mentor the team consisting of Data Science, Business Intelligence, and Data Engineering roles. * Develop and implement a comprehensive data strategy aligned with business goals. * Oversee the design, development, and maintenance of data infrastructure, including OLAP systems and columnar databases like Redshift. * Ensure data accuracy, integrity, and security across all platforms. * Develop and maintain actionable KPIs for various marketing operations and billing systems. * Utilize advanced statistical methods and machine learning techniques to drive insights and optimize marketing campaigns. * Collaborate with cross-functional teams to identify data needs and provide actionable insights. * Develop a culture of continuous learning and improvement within the data team. * You hire new talents and build a team that focuses on delivering value. * Stay updated with the latest trends and technologies in data science, BI, and data engineering. ABOUT YOU: * Proven experience in a leadership role within data science, business intelligence, or data engineering. * Expertise in internet marketing and performance marketing strategies. * In-depth knowledge of OLAP, statistics, and machine learning. * Proficient in SQL and experience with columnar databases such as Redshift. * Practical knowledge and experience with Python, including its application in data analysis, machine learning, and data engineering and tools like Pandas, NumPy and SciPy. * Experience with data visualization in JavaScript and HTML, including frameworks such as D3.js, Plotly.js. * Proficiency in creating interactive visualizations and dashboards using HTML, CSS, and JavaScript frameworks. * Strong people management skills with the ability to lead, mentor, and inspire a diverse team. * Excellent communication and collaboration skills. * Strategic thinker with a results-oriented mindset. * Bachelor’s or Master’s degree in a relevant field (e.g., Data Science, Computer Science, Statistics). WHY US? WHAT WE OFFER: * Competitive salary and attractive bonus scheme. * Informal, fun, and multicultural working environment in the heart of Amsterdam. * Personal development, learning, and growth opportunities. * Freedom and budget to attend conferences, workshops, and training. * The chance to test your ideas with hundreds of thousands of users in real-time. * Company-sponsored activities including an annual company retreat. * Visa sponsorship and a comprehensive relocation package when applicable.