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Algorithm Engineer Intern Jobs in Queens, NY (NOW HIRING)

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Algorithm Engineer Intern information

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How much do algorithm engineer intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for algorithm engineer intern in Queens, NY is $20.15, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.83 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an algorithm engineer intern?

Excelling as an Algorithm Engineer Intern requires strong problem-solving abilities, proficiency in programming languages such as Python or C++, and a solid understanding of data structures, algorithms, and mathematics, often supported by ongoing studies in computer science or a related field. Familiarity with version control systems like Git, as well as experience with machine learning frameworks or relevant academic coursework, is typically expected. Excellent communication skills, a collaborative mindset, and eagerness to learn set candidates apart in this team-oriented environment. These skills are crucial to successfully contribute to real-world projects, adapt quickly, and effectively solve technical challenges in dynamic work settings.

What types of projects or tasks can I expect as an algorithm engineer intern?

As an Algorithm Engineer Intern, you can expect to work on a mix of real-world projects, such as developing and optimizing algorithms, analyzing data sets, or assisting in research and prototyping. You may also help implement algorithmic solutions for existing products or services under the guidance of senior engineers and participate in code reviews and team meetings. Interns often collaborate closely with software engineers, data scientists, and other team members, gaining exposure to both technical and cross-functional work. These experiences provide valuable hands-on training and a springboard for future roles in software engineering or data science.

What does an algorithm engineer intern do?

An Algorithm Engineer Intern develops, optimizes, and implements algorithms to solve complex problems in fields like machine learning, data processing, or computer vision. They work closely with experienced engineers to analyze large datasets, improve existing models, and write efficient code. Responsibilities may include researching new algorithmic approaches, debugging issues, and testing performance. This role requires strong mathematical skills, programming proficiency (commonly in Python, C++, or Java), and familiarity with data structures and algorithms.

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Algorithm Engineer Intern jobs near you
Infographic showing various Algorithm Engineer Intern job openings in Queens, NY as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $41,920 per year, or $20.2 per hour.

Quantitative Trader - Intern (US)

Citadel Securities

Manhattan, NY • On-site

$4.5K - $5.8K/wk

Other

Posted 14 days ago

Job description

Job Description

At Citadel Securities, our quantitative traders make complex risk decisions, model markets, and bring trading strategies to life every day. As a markets and trading expert, you'll use predictive analytics and sophisticated statistical techniques to monitor risk, respond to market signals and develop trading strategies across Options, ETFs, Equities, Fixed Income, Commodities and Currencies.

As an intern, you'll get to challenge the impossible in trading and research through a summer-long program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.

Your Objectives:

  • Develop in-depth knowledge of a financial market
  • Innovate by using one of the industry's most powerful trading platforms
  • Conceptualize valuation strategies, develop, and continuously improve upon mathematical models.
  • Design, build, and implement predictive models to generate novel trading signals.
  • Use unconventional data sources to drive innovation.
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals.

Your Skills & Talents:

  • Bachelor's, master's or PhD in applied math, engineering, statistical modeling, calculus, computer science, physics or related disciplines required
  • Ability to think about the world systematically and quantitatively, as well as the ability to deal with uncertainty in a rigorous and statistical approach
  • Experience with modern AI concepts such as Large Language Models (LLMs) and agentic systems is highly desirable.
  • Expertise in translating mathematical models and algorithms into code (Python, R or C++).
  • Ability to manage multiple tasks and thrive in a fast-paced team environment.
  • Excellent analytical skills, with strong attention to detail.
  • Strong written and verbal communication skills.

Opportunities available in Miami and New York.

In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing stipend or covered living accommodations, company-sponsored travel, and a variety of on-site benefits, including access to on-site fitness and wellness amenities, catered meals, and social and networking events.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week. 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 .

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