IMC Trading jobs

IMC is seeking a Deep Learning Researcher to join a team advancing deep learning research and infrastructure, focusing on large-scale pre-training, predictive modeling, and representation learning to shape trading strategies. The ideal candidate will possess deep expertise in modern AI and machine learning research, applying cutting-edge techniques to new domains. This role offers the opportunity to work at the intersection of AI research and quantitative trading, leading efforts in neural network architectures, self-supervised learning, foundation models, generative AI, and reinforcement learning, with a focus on financial markets.

$250k - $300k

This 10-week internship offers a unique opportunity to experience life as a Deep Learning Researcher at IMC. You will work with extensive datasets and advanced training infrastructure, witnessing how rigorous research drives tangible business outcomes. The program is designed for scientific thinkers passionate about advancing deep learning research, with no prior financial industry experience necessary. IMC provides a competitive compensation package, including accommodations, and offers the potential for a full-time Graduate Deep Learning Researcher position upon successful completion of the internship.

From $300k

IMC is seeking Deep Learning Researchers to join our growing team. As a Deep Learning Researcher, you will develop and apply state-of-the-art deep learning techniques at the intersection of AI and markets. You will help accelerate our efforts in areas such as modern neural network architectures and representation learning, improving our large-scale AI models that increasingly shape our trading. You will work closely with senior researchers to gain exposure to the full research lifecycle, from initial idea to production deployment. The ideal candidate has a strong foundation in modern AI and machine learning research, gained through graduate study or internships. Prior financial industry experience is not required. We are looking for someone who brings rigorous scientific thinking and a drive to learn, and who wants to grow alongside experienced researchers as we build a world-class deep learning capability at IMC.

From $300k

This 9-week internship offers a unique opportunity to experience life as a Deep Learning Researcher at IMC. You will work with extensive datasets and advanced training infrastructure, gaining firsthand insight into how research drives real-world outcomes. The program is designed for scientific thinkers passionate about advancing deep learning research, with no prior financial industry experience required. IMC provides a competitive compensation package, including accommodations. Successful interns who meet performance expectations may be offered a full-time Graduate Deep Learning Researcher position upon completion of the program.

Salary not listed

IMC is seeking Deep Learning Researchers to join our growing team. As a Deep Learning Researcher, you will develop and apply state-of-the-art deep learning techniques at the intersection of AI and markets. You will help accelerate our efforts in areas such as modern neural network architectures and representation learning, improving our large-scale AI models that increasingly shape our trading. You will work closely with senior researchers to gain exposure to the full research lifecycle, from initial idea to production deployment. The ideal candidate has a strong foundation in modern AI and machine learning research, gained through post-graduate study or internships. Prior financial industry experience is not required. We are looking for someone who brings rigorous scientific thinking and a drive to learn, and who wants to grow alongside experienced researchers as we build a world-class deep learning capability at IMC.

Salary not listed

We are deploying machine learning directly onto custom hardware, and this PhD internship offers the chance to contribute to research that directly impacts our work on low-latency ML inference and hardware acceleration. You will collaborate with IMC engineers in a demanding low-latency computing environment, taking ownership of a focused research project from inception to completion. Your work will culminate in presenting findings to the team and delivering a prototype or benchmark for future development.

From $225k

IMC is seeking Machine Learning Engineers to build and deploy large-scale ML models across its global operations. You will collaborate with researchers, hardware specialists, and software engineers to create robust systems that leverage GPU acceleration and distributed computing. This role is crucial for accelerating the cycle from research idea to live trading strategy, offering a unique opportunity to solve complex problems at the intersection of advanced machine learning and trading. The team focuses on two main areas: ML Research Engineering, which involves building systems and frameworks for model training and evaluation at scale, and ML Performance Engineering, dedicated to optimizing ML workloads for maximum efficiency, particularly through GPU and low-level systems optimization. While there's overlap, you'll bring expertise in at least one of these areas and work closely with a global team.

Salary not listed

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10–12 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 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. 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.

Salary not listed

The Machine Learning Frameworks team focuses on accelerating the research iteration loop and optimizing production performance across heterogeneous hardware. This involves building optimizers, code generators, runtime libraries, and orchestration layers. The work spans the entire compute pipeline, from high-level system orchestration to low-level hardware behavior and compute graph dissection, aiming to extract maximum performance from the underlying systems.

Salary not listed

IMC is integrating agentic AI directly into the developer workflow for its production-critical systems. As a member of the Agentic AI engineering team, you will help build agents, MCP servers, and evaluation loops to make AI-generated code reliable, auditable, and fast to ship. You will collaborate closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale, working with proprietary systems and algorithms that operate across global markets.

$180k - $225k

IMC Trading is seeking a versatile Systems Engineer to build and operate the infrastructure behind the company's AI-powered engineering initiative. This role focuses on integrating AI SaaS offerings, managing containerization and virtualization layers for AI agents, and enhancing the security of agents and internal services. The Development Platform organization aims to accelerate tech team workflows by providing self-service tools and services, establishing a consistent technical foundation, and empowering teams to innovate efficiently. As AI adoption grows, the need for robust, secure, and observable infrastructure becomes paramount. The successful candidate will be a local point of contact in Sydney for global AI platform and infrastructure teams, collaborating closely with them and supporting development teams.

Salary not listed