---
title: 'Machine Learning Engineer at IMC'
canonical: 'https://feeny.ai/job/machine-learning-engineer-imc-amsterdam-f87j2et8zj41'
type: 'job'
last_seen: '2026-09-11'
---

# Machine Learning Engineer at IMC

- **Company:** IMC
- **Location:** Amsterdam, Netherlands / London, United Kingdom
- **Posted:** 2025-04-01
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.eu.greenhouse.io/imc/jobs/4567047101

## Job description

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.

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’s technology and trading capabilities.

Your Core Responsibilities:

- The opportunity to be in a brand new position in a growing team
- Develop large-scale distributed training pipelines to manage datasets and complex models
- Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
- Develop libraries to improve the performance of machine learning frameworks
- Maximize performance in training and inference using GPU hardware and acceleration libraries
- Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
- Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
- Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
- Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
- Dig into the internals of open-source ML tools to extend their capabilities and improve performance

Your Skills and Experience:

- 5+ years of experience in machine learning with a focus on training or inference systems
- Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
- Strong engineering skills, including Python, CUDA, or C++
- Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
- Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
- Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
- Exposure to cloud platforms and orchestration tools
- A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus

## 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.

## About IMC

## Company Overview
- **One-liner**: IMC is a global trading firm that uses cutting-edge technology, quantitative research, and advanced algorithms to provide liquidity across major asset classes and trading venues worldwide.
- **Entity Type**: Private (bootstrapped)
- **Headquarters**: Amsterdam, Netherlands (global headquarters); major offices in Chicago, Sydney, Mumbai, and other cities.
- **Founded**: 1989
- **Founders**: Two traders (names not publicly disclosed) who met on the floor of the Amsterdam Equity Options Exchange.

## Core Business
- **Primary industry/industries**: Financial Services, Proprietary Trading, Market Making, Financial Technology
- **Target customers**: Institutional clients, exchanges, ETF issuers, buy-side firms, and other market participants. **B2B** focus.
- **Mission or purpose statement**: To be the world’s leading trading firm, supporting fair and transparent markets by providing significant liquidity and competitive pricing. [imc.com](https://www.imc.com/eu/who-we-are)

## Products & Services
- **ETF Market Making**: Acts as a Lead Market Maker (LMM) in more than 150 US exchange-traded funds (ETFs).
- **Options Wholesaling**: A top-3 liquidity provider by volume traded in listed options globally, with connectivity to all OCC venues.
- **Institutional Sales**: Provides off-screen trading for buy-side firms.
- **Crypto Solutions**: Offers global coverage of crypto products including spot, perps, futures, and options, both on- and off-chain.
- **Multi-Asset Class Trading**: Develops innovative technologies and algorithms to trade in all major asset classes on more than 120 venues globally.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company).
- **Key Metric**: Over 2,070 employees across 10 global offices as of 2025/2026. [imc.com](https://www.imc.com/eu/who-we-are)
- **Notable Investors/Partners**: Privately held; no external investors disclosed. Key partners include major global exchanges and clearing houses (e.g., OCC).
- **Growth Signals**:
    - Employee count grew from +1,900 to +2,070 in recent years.
    - Operates 9,000+ servers across 9 countries and processes petabytes of data daily.
    - Expanding into crypto and new asset classes.
    - Committed to being Net Zero by 2040.

## Competitive Advantages
- **Technology & Infrastructure**: A world-class technology backbone with 9,000+ servers, petabytes of data processing, and early adoption of AI/ML.
- **Longevity & Experience**: 36+ years of trading history and deep expertise across multiple asset classes.
- **Global Scale**: 24/7 liquidity provision across 120+ trading venues in the US, Europe, Asia-Pacific, and India.
- **Talent Density**: A flat, non-hierarchical culture that attracts top quant researchers, engineers, and traders from 70+ nationalities.
- **Culture of Ownership**: Employees are given significant responsibility early on, with a focus on collaboration and cross-functional teamwork.

## Strategic Focus
- **Quantitative Research & Tech**: Continually investing in quant research, AI, machine learning, and large-scale computing to generate alpha.
- **Global Expansion**: Expanding across new markets and asset classes, including crypto.
- **Sustainability**: Committed to being Net Zero by 2040 and making a positive impact through the IMC Foundations, focusing on education.
- **Talent Development**: Investing heavily in graduate and intern training programs (Graduate Traineeship, Launchpad) to build the next generation of talent.

## Why Work Here
- **Culture & Values**: High-performance, collaborative, and non-hierarchical. 87% of employees say "IMC is a great place to work" (+4% vs global top-10%). [imc.com](https://www.imc.com/us/who-we-are/our-culture-values)
- **Work Environment**: Office-based (no remote policy indicated). Offers free catered breakfast and lunch, snacks, drinks, and Friday socials. Regular team events including an annual weekend trip.
- **Compensation & Benefits**: Competitive compensation with subsidized gym memberships, ergonomic desks, and health/well-being programs.
- **Learning & Development**: Extensive internal and external training programs. Graduates undergo a multi-week Graduate Traineeship (Trading School, Development School, FPGA School).
- **Diversity**: Employees represent 70+ nationalities, with a strong commitment to D&I.
- **Giving Back**: A share of profits is donated to non-profits, with a focus on education. Employees get volunteer time, donation matching, and grants.

## Sources
1. [IMC Homepage](https://www.imc.com/us/)
2. [IMC Careers Page](https://www.imc.com/us/careers)
3. [IMC Who We Are](https://www.imc.com/eu/who-we-are)
4. [IMC Culture & Values](https://www.imc.com/us/who-we-are/our-culture-values)
5. [IMC Recruitment Process](https://www.imc.com/us/careers/recruitment-process)

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