Machine Learning Engineer

**About Jane Street:** Jane Street is a quantitative trading firm that leverages cutting-edge technology to develop elegant solutions that scale well. Our core belief is that building robust and reliable applications should not require developers to manage complex state or worry about underlying infrastructure. We are committed to a user-obsessed culture, emphasizing employee well-being with competitive salaries, equity options, and comprehensive benefits. Our remote-first culture with flexible schedules allows us to collaborate effectively across time zones and locations.

**About The Role:** We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

**Key Responsibilities:**
- Design and implement machine learning models for trading applications
- Build and maintain ML infrastructure for model training and deployment
- Collaborate with researchers and developers to enhance ML workflows
- Optimize ML models for performance and accuracy
- Stay at the forefront of machine learning advancements
- Develop and maintain APIs for ML services

**Required Skills and Ideal Candidate:**
- Proven experience with machine learning algorithms and frameworks
- Strong mathematical background with expertise in optimization theory
- Experience with neural networks, random forests, gradient-boosted trees
- Passion for keeping up with state-of-the-art machine learning techniques
- Ability to create and maintain organized research codebases
- Expertise with ML frameworks like PyTorch or TensorFlow
- In-depth knowledge of ML experimentation and feedback cycles
- Problem-solving skills with a focus on delivering practical solutions