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Internship Machine Learning Quant Jobs in Florida

Key Responsibilities: • Conduct cutting-edge research and development in machine learning, with a focus on large language models (LLMs) and Deep learning and their applications in quantitative ...

Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market ...

... internship. Your Objectives: * Create technological tools that bring trading strategies to life ... quantitative research and the accelerating power of compute, machine learning and AI to power our ...

Internship Opportunities

Orlando, FL · On-site +1

$14 - $18.75/hr

Interns: Build Your Future with Us Are you ready to make an impact? Even if you don't see the ... Machine Learning, AR/VR, and forward-thinking talent. * Data Scientists amp; Analysts: Those who ...

Sitting at the intersection of quantitative research and live trading, you'll work with datasets ... Build statistical and machine learning models to transform raw alternative data into usable ...

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Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Florida? The most popular types of Machine Learning Quant jobs in Florida are:
What job categories do people searching Internship Machine Learning Quant jobs in Florida look for? The top searched job categories for Internship Machine Learning Quant jobs in Florida are:
What cities in Florida are hiring for Internship Machine Learning Quant jobs? Cities in Florida with the most Internship Machine Learning Quant job openings:
Deep Learning ML Researcher

Deep Learning ML Researcher

Citadel

Miami, FL

Other

Posted 6 days ago


Job description

Job Description
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.
Researchers build and deploy models across equities, options, fixed income, and derivatives domains, often working with petabyte-scale data.
Models incorporate advanced techniques: deep learning, sequence / time-series models, representation learning, and methods to tame overfitting and ensure robustness in financial regimes.
The goal: each model isn't a theoretical exercise - it has a measurable P&L impact (or reduces risk / cost) when deployed in live market-making or trading contexts.
Key Responsibilities:
• Conduct cutting-edge research and development in machine learning, with a focus on large language models (LLMs) and Deep learning and their applications in quantitative finance.
• Design, implement, and optimize machine learning models for performance and scalability, particularly in financial contexts.
• Collaborate with cross-functional teams to integrate ML solutions into business processes and trading strategies.
Skillset Requirements:
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems
  • Deep knowledge of LLM architectures, including transformers.
  • Familiarity with attention mechanisms, normalization techniques, and model architecture design.
  • Training techniques (pre-training, fine-tuning, RLHF), and optimization methods.
  • Understanding of low-level details like GPU memory management, precision types (float16, bfloat16), and parallelization techniques.
  • Proficiency in advanced training techniques such as pre-training, fine-tuning, RLHF, and DPO.
  • Expertise in Python and ML frameworks like PyTorch or TensorFlow.
  • Familiarity with Retrieval Augmented Generation (RAG) systems and their implementation.
  • Proven ability to approach open-ended problems and design end-to-end solutions in ML/AI.
  • Strong mathematical and statistical foundations, particularly in areas relevant to quantitative finance.
About Citadel Securities
Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .