Applied AI Engineer: From Research to Trading Decisions

Citadel Securities; Miami (FL); On-site; USD 110,000 - 170,000; Full time

Job summary

Citadel Securities in Miami seeks an entry-level Quant AI Technical Staff to advance research and engineering of ML models that inform trading decisions. You’ll design and train deep-learning models, featurize market data, and prototype end-to-end systems with strong research context.

You’ll work with dedicated AI, engineering and trading teams in an AI-native workflow, split roughly between research and engineering, with real impact on capital.

Qualifications

• Strong software engineering fundamentals and clean code.
• Solid depth in machine learning and deep learning, with hands-on experience training and debugging models.
• Are results-oriented, with a bias toward action, flexibility, and efficiency.
• Are genuinely curious about how markets work and why trades are profitable, even without a prior finance background.
• Communicate clearly and collaborate effectively across a large, technical organization (this role involves substantial collaboration).
• Are coachable and respond well to feedback; we value growth trajectory over starting point.
• Are comfortable working in an AI-native way, directing multiple agents to carry out research and engineering, or are eager to learn.

Responsibilities

• Model research. Design and train the deep-learning models that predict where prices are going - developing new architectures, improving features, and extending how far into the future the models can reliably predict.
• Enabling ML across the firm. Build the systems and tooling that allow many other researchers to apply machine learning to their own problems, multiplying your impact well beyond your own work.
• High-impact markets. Take on novel problems in markets that generate billions of dollars in annual revenue, where established solutions do not yet exist.
• From prediction to trading decisions. A prediction is only useful once it informs a decision to buy or sell. We apply AI across the full chain - including simulating how a set of trades would perform before any capital is committed, and a growing range of decision problems beyond prediction itself.

Skills

Strong software engineering

Machine learning / deep learning

Results-oriented

Curiosity about markets

Clear communication

Coachable

AI-native workflows

Education

Bachelor's/Master's/PhD in CS/Math/Physics/EE/Stats

Entry-level; graduates welcome

Tools

PyTorch

JAX

TensorFlow

Job description

Citadel Securities in Miami seeks an entry-level Quant AI Technical Staff to advance research and engineering of ML models that inform trading decisions. You’ll design and train deep-learning models, featurize market data, and prototype end-to-end systems with strong research context.

You’ll work with dedicated AI, engineering and trading teams in an AI-native workflow, split roughly between research and engineering, with real impact on capital.