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Part Time Java Machine Learning Jobs (NOW HIRING)

Research Scholar

New York, NY · On-site

$27.77/hr

Responsibilities include coding and running machine learning experiments, analyzing and ... This is a part time appointment and would require a work schedule of approximately 27 hours per ...

Solid understanding of NLP, machine learning, and modern deep learning techniques. * Hands-on ... Flexible part-time schedule. * Remote work within the United States. * Flexible vacation policy.

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Part Time Java Machine Learning information

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How much do part time java machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for part time java machine learning in the United States is $60.42, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.27 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Java Machine Learning jobs? The most popular types of Java Machine Learning jobs are:
Applied AI Engineer, Global Banking & Markets, New York City

Applied AI Engineer, Global Banking & Markets, New York City

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Posted 6 hours ago


Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks


Job description


What We Do
At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
Who We Look For
Goldman Sachs is seeking an AI Quant Engineer to join our Equities Business . As an AI Quant engineer, you will leverage your expertise in quantitative analytics, statistics, and artificial intelligence to develop and implement AI-driven quantitative technologies with the goal to enhance revenue generation, capital saving, operational efficiency and foster innovation within the firm.
In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance. As an AI Quant engineer, you will tackle the unique challenges associated with embedding intelligence in the quant analytics domain. Join us in pushing the boundaries of what is possible at the intersection of quantitative finance and artificial intelligence!
How You Will Fulfill Your Potential
  • Design, implement, and deploy scalable AI models & agentic workflows to drive commercial outcomes.
  • Lead rigorous experimentation and data-driven analysis to continuously improve AI model effectiveness for business use cases.
  • Collaborate proactively with stakeholders across the equities business to accelerate the delivery of AI driven solutions to drive tangible commercial outcomes.
  • Champion the development, testing, and maintenance of reliable, production-ready software solutions.

Qualifications
  • A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
  • A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
  • Proficiency in contemporary programming languages like Python and/or Java.
  • Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.
  • Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.

Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$225000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

What Goldman Sachs employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869