Deep Learning Research Intern - Summer 2027 - Amsterdam

IMC; Sydney; On-site; AUD 34,000 - 55,000; Full time

Benefits offered by this job

Fully furnished accommodation

Catered meals

Job summary

IMC is offering a Machine Learning Internship designed for curious researchers to apply ML to real-world trading problems. Over 10 weeks, you will work with experienced researchers, designing experiments, analyzing large datasets, and contributing to research guiding IMC's global trading strategies.

The program includes classroom learning, hands-on project work, and a mentorship structure. Compensation is highly competitive, with fully furnished corporate accommodation and catered meals.

Qualifications

• Penultimate year student, graduating in 2028, pursuing an MSc in ML/Statistics/DL or related field.
• Strong foundations in statistics and ML with research exposure.
• Proficiency in Python and ML frameworks, especially PyTorch.

Responsibilities

• Conduct hands-on research to design, develop, and apply original ML algorithms with mentorship.
• Analyze large-scale datasets, build predictive models, and evaluate novel approaches.
• Develop research skills through project work, mentorship, and feedback from senior researchers.
• Enhance understanding of quantitative trading via classroom-based instruction in options theory and market making.

Skills

Penultimate year student

MSc in ML/Statistics/DL/Probabilistic

Python

PyTorch

Research track record

Education

MSc in Machine Learning/Statistics/Deep Learning or related

Tools

PyTorch

Job description

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.

Your Core Responsibilities:

• Conduct hands‑on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate
• Analyze large‑scale datasets, develop predictive models, and evaluate novel approaches to complex market problems
• Develop your research skills through hands‑on project work, mentorship, and regular feedback from experienced researchers
• Enhance your understanding of quantitative trading through classroom‑based instruction in options theory, market making, and related topics

Your Skills and Experience:

• Currently in your penultimate year of study, graduating in 2028
• A minimum of an MSc in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field
• Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field
• Proficiency in Python and core machine learning frameworks such as PyTorch
• Desirable: publications in respected journals covering deep learning or time‑series modeling

No prior finance knowledge or experience required

Ability to start the internship on the last week of June 2027

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 ********@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: ********@imc.com.

About Us

IMC is a research‑driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real‑time feedback to turn insight into execution and execution into advantage.

We use artificial intelligence (AI) tools to assist our recruiting team review applications (for example, to help match applications against job criteria and organize large volumes of submissions). All hiring decisions are made by people, not AI. We continuously monitor our AI tools to ensure they are used responsibly, with appropriate human oversight. Your personal data will be handled in line with applicable privacy and data protection laws. For more information, please see the IMC Privacy Statement. Where legally required, you may have the right to request human review of any AI‑assisted decision, to object to the use of AI in your application, or to obtain further information about how your data is processed. To exercise these rights, please contact us at **********@imc.com.

We use Tofu AI Resume Review as part of our hiring process for jobs in certain locations. The Tofu tool has been reviewed by an independent auditor. Results of the audit may be viewed here: AI Assurance Dashboard - Tofu.