WorldQuant
WorldQuant

8 Worldquant Machine Learning Engineer Jobs Hiring Near You

AI Software Developer

New York, NY · On-site

$125K - $200K/yr

WorldQuant develops and deploys systematic financial strategies across a broad range of asset ... Training: learning and development courses, speakers, team-building off-site * Employee resource ...

AI Software Developer

New York, NY · Hybrid

$125K - $200K/yr

Technologists at WorldQuant research, design, code, test and deploy projects while working ... Training: learning and development courses, speakers, team-building off-site * Employee resource ...

Lead Software Engineer

New York, NY · Hybrid

$150K - $250K/yr

Training: learning and development courses, speakers, team-building off-site * Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible ...

Lead Software Engineer

New York, NY · On-site

$150K - $250K/yr

Training: learning and development courses, speakers, team-building off-site * Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible ...

Software Development Manager

New York, NY · On-site

$150K - $250K/yr

WorldQuant develops and deploys systematic financial strategies across a broad range of asset ... Lead the adaptation of best-in-class engineering practices consistent with our technology ...

WorldQuant Jobs Information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What other companies are hiring for Machine Learning Engineer jobs?
Infographic showing various Machine Learning Engineer job openings at Worldquant in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, and 13% Hybrid job distribution.
Software Engineer - Trading Systems

Software Engineer - Trading Systems

WorldQuant

New York, NY • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 10 days ago


Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
The Role: WorldQuant is seeking exceptional C++ developers to join our front office development team to further enhance and build our next generation trading platforms.
What You'll Do:
  • Write low latency, high throughput C++ code
  • Implement mission critical trading infrastructure
  • Work with portfolio managers to implement new trading systems
  • Adapt existing systems to our next generation trading platform

What You'll Bring:
  • A minimum of 4 years of writing high performance C++
  • Modern C++ knowledge (C++17/20, etc)
  • C++ template meta programming knowledge
  • Possess in-depth knowledge of network programming and distributed computing
  • Strong knowledge of Unix/Linux fundamentals
  • Strong understanding of data structures and algorithms
  • Finance experience is preferred but not required

Locations: Chicago, NYC, CT, or Austin
Our Benefits:
Core Benefits:
  • Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
    • twenty vacation days that are pro-rated based on the employee's start date, at an accrual of 1.67 days per month, three personal days, and
      ten sick days.
  • Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
  • Training: learning and development courses, speakers, team-building off-site
  • Employee resource groups

Pay Transparency:
WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
The Base Pay Range For This Position Is $150,000 - $250,000 USD.
At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
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By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
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WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.