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Goldman Sachs Machine Learning Jobs in Washington

Lendable

Business Analyst

Arlington, VA

Backed by top investors including Balderton Capital and Goldman Sachs * Loved by customers with the ... Build the best technology in-house , using new data sources, machine learning and AI to make ...

nitra

Senior Accountant

Washington, DC

$83K - $105K/yr

... powered by machine learning technologies. Nitra was created by unicorn founders who have ... Express, Plaid, and Goldman Sachs. The team is backed by some of the world's leading VCs ...

nitra

Senior Accountant

Washington, DC

$83K - $105K/yr

... powered by machine learning technologies. Nitra was created by unicorn founders who have ... Express, Plaid, and Goldman Sachs. The team is backed by some of the world's leading VCs ...

Lendable

Fraud Investigation Associate

Arlington, VA · On-site

$80K - $120K/yr

Backed by top investors including Balderton Capital and Goldman Sachs * Loved by customers with the ... Build the best technology in-house , using new data sources, machine learning and AI to make ...

Lendable

Senior Growth Manager

Arlington, VA · On-site

Backed by top investors including Balderton Capital and Goldman Sachs * Loved by customers with the ... Build the best technology in-house , using new data sources, machine learning and AI to make ...

Lendable

Senior Credit Risk Manager

Arlington, VA

Backed by top investors including Balderton Capital and Goldman Sachs * Loved by customers with the ... Build the best technology in-house , using new data sources, machine learning and AI to make ...

Lendable

Growth Analyst

Arlington, VA

Backed by top investors including Balderton Capital and Goldman Sachs * Loved by customers with the ... Build the best technology in-house , using new data sources, machine learning and AI to make ...

Apexon

AI QE Architect

Bethesda, MD · On-site

$179K/yr

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of ... learning/upskilling experience and provide care and support for you and your loved ones. As an ...

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Goldman Sachs Machine Learning information

See Washington salary details

$12

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$27

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

As of Aug 16, 2026, the average hourly pay for goldman sachs machine learning in Washington is $20.78, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $22.88 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?

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.

Is Goldman Sachs Machine Learning a high paying job?

A machine learning role at Goldman Sachs is typically a high-paying position within the finance and technology sectors, often offering competitive salaries and bonuses. Compensation depends on experience, skills, and performance, with roles requiring expertise in data analysis, programming, and financial modeling.

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 are popular job titles related to Goldman Sachs Machine Learning jobs in Washington?

For Goldman Sachs Machine Learning jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Goldman Sachs Machine Learning jobs in Washington look for?

The top searched job categories for Goldman Sachs Machine Learning jobs in Washington are:

Goldman Sachs Machine Learning jobs near you
Infographic showing various Goldman Sachs Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,220 per year, or $20.8 per hour.

Federal-Business Development Representative

Forward

Washington, DC • On-site

Full-time

Re-posted 10 days ago

Job description

Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment.

Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done.

Forward is looking for a Business Development Representative to join our Federal team.

Key Responsibilities
  • Targeted Prospecting: Identify and engage decision-makers at Federal accounts using a mix of phone, email, LinkedIn, and creative outreach in partnership with Regional Sales Directors in your territory.
  • Pipeline Generation: Develop a steady flow of qualified opportunities for Regional Sales Directors by booking discovery calls and demos.
  • Account Research: Conduct research on target accounts and personas to tailor messaging and outreach to their business challenges and industry context.
  • Messaging & Education: Clearly articulate Forward Networks's value proposition and educate the prospects on the value of a digital twin.
  • Collaboration: Partner with Sales and Marketing to execute account-based strategies and provide feedback on market trends and prospect needs.
  • CRM Discipline: Maintain accurate records of all activities in Salesforce, ensuring visibility into pipeline activity and performance.
  • Continuous Learning: Stay up to date on Forward Networks's platform and the dynamic changes in the networking, security and cloud infrastructure space.
Qualifications
  • Experience: 2-4 years of experience in outbound Business Development, business development, or lead generation within the federal government.  Knowledge of computer networking, security, SaaS or data/technology industry experience preferred.
  • Skills:
    Excellent communication, persuasion, and storytelling skills.
    Strong ability to research and personalize outreach for executives and technical stakeholders.
    • Persistence, resilience, and creativity in outbound prospecting.
    • Strong organizational skills with ability to manage high activity levels.
  • Tools: Familiarity with Salesforce, LinkedIn Sales Navigator, SalesLoft/Outreach, and other prospecting tools.
  • Mindset: Competitive, goal-oriented, coachable, and eager to grow into an Account Executive role.

The expected On-Target Cash Earnings for this role is between $95,000-$115,00 per year. Within this range, individual pay is determined by several factors including but not limited to, job-related skills, work experience, and relevant education/training

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