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How much do goldman sachs machine learning jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for goldman sachs machine learning in the United States is $18.35, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning professional at Goldman Sachs, and why are they important?

To thrive as a Machine Learning professional at Goldman Sachs, you need a solid background in computer science, statistics, and quantitative analysis, typically supported by an advanced degree in a related field. Expertise in programming languages such as Python or Java, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with financial data systems are essential. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams set top candidates apart. These skills are crucial for creating innovative, reliable, and compliant data-driven solutions that drive business value in the fast-paced financial sector.

What do machine learning professionals at Goldman Sachs do?

Machine learning professionals at Goldman Sachs develop and implement algorithms that analyze large datasets to improve decision-making and automate processes across the firm. They work on projects ranging from risk assessment and fraud detection to trading strategies and client personalization. These roles involve close collaboration with engineers, data scientists, and financial experts to create innovative solutions that drive business value and efficiency. The work is highly dynamic and requires strong programming, statistical, and analytical skills.

What is the difference between Goldman Sachs Machine Learning vs Goldman Sachs Data Analyst?

AspectGoldman Sachs Machine LearningGoldman Sachs Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML algorithmsDegree in Finance, Economics, or related fields; proficiency in data analysis tools
Work EnvironmentFocus on developing ML models, programming, and algorithm optimizationData interpretation, reporting, and supporting decision-making processes
Employer & Industry UsageTech-driven roles within finance, emphasizing AI and automationFinancial services, emphasizing data reporting and analysis

Goldman Sachs Machine Learning roles primarily involve developing and implementing machine learning models, requiring technical skills in programming and algorithms. In contrast, Goldman Sachs Data Analysts focus on analyzing financial data, generating reports, and supporting business decisions. Both roles are integral to the firm's data-driven strategies but differ in technical depth and daily tasks.

What types of projects do machine learning professionals typically work on at Goldman Sachs?

Machine learning professionals at Goldman Sachs often collaborate with cross-functional teams to develop predictive models for risk assessment, automate trading strategies, and enhance client services through natural language processing and recommendation systems. These projects require close cooperation with data engineers, financial analysts, and software developers to ensure models are both technically robust and aligned with business objectives. The work environment emphasizes innovation, continuous learning, and the application of cutting-edge techniques to solve complex financial challenges.
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Goldman Sachs Machine Learning jobs near you
Infographic showing various Goldman Sachs Machine Learning job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, and 97% Part Time. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $38,160 per year, or $18.3 per hour.
Senior Software Engineer, Global Banking & Markets, Front Office Technology

Senior Software Engineer, Global Banking & Markets, Front Office Technology

Goldman Sachs

New York, NY

$134K - $176K/yr

Other

Posted 10 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 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. Drive new businesses, redefine finance using AI, and seize opportunities at market speed.

In an era defined by AI, Engineering isn't just central - it's the driving force behind our business. Our dynamic environment demands innovative strategic thinking and immediate, impactful solutions. Ready to push the limits of digital possibility? Begin your journey here.

Who We Look For

Goldman Sachs Engineers are at the forefront of innovation, driving solutions as creative collaborators in a fast-paced global environment. We seek individuals who evolve, adapt, and thrive on challenging problems.

As a Front Office Engineer, you will be instrumental in developing cutting-edge software solutions. Your responsibilities will include designing and implementing robust, low-latency systems crucial for pricing, quoting, and hedging a diverse range of financial instruments, such as USTs, Swaps, and MBS. You will also develop innovative platforms that enable efficient risk and P&L management for our trading desks. A key aspect of your role will involve leveraging AI-driven analytics for sophisticated data analysis and to inform predictive pricing strategies.

Basic Qualifications

  • Advanced degree in Computer Science (or equivalent work experience). 
  • Minimum 7 years of relevant professional experience using a modern programming language (Java, C/C++, Python).
  • Strong analytical skills, ability to quickly identify scope and impact of issues.
  • Team oriented mindset with strong interpersonal and communication skills.
  • Energetic, self-directed, and self-motivated.

Preferred Qualifications

  • Experience in Financial Services or Fintech.
  • Proven ability to lead engineering teams and deliver complex products with multiple stakeholders.
  • Experience with AWS.
  • Experience working on high availability, mission critical systems.
  • Experience with microservice architectures (SOA).
  • Experience engineering solutions with distributed tracing, performance testing, authentication, authorization
  • Experience with UNIX operating systems internals, infrastructure as code (Terraform), and networking.
  • Proficiency with algorithms, data structures, and software design.

Salary Range 
The expected base salary for this New York, New York, United States-based position is $150,000-$300,000. 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.

ABOUT GOLDMAN SACHS

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. Learn more about our culture, benefits, and people at GS.com/careers. 

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

The Goldman Sachs Group, Inc., 2026. All rights reserved.

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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

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