Machine Learning Engineer at Goldman Sachs

Goldman Sachs is expanding and seeking a Machine Learning Engineer to contribute to key projects. This is a fully remote-friendly position, giving you flexibility to work from anywhere.

About Goldman Sachs

Goldman Sachs is a leading global financial institution providing investment banking, securities, and investment management services.

About the Role

As a Machine Learning Engineer at Goldman Sachs, you will collect, clean, and analyse large datasets to support business decision-making while contributing to the team's objectives and broader company goals.

Goldman Sachs is based in Seattle, and this role offers remote flexibility. You will have the opportunity to work from home or any location with a reliable internet connection, while staying connected with your team through regular video calls and collaboration tools.

About the Team

You will join a team of 16 professionals working on data analyst projects. The team collaborates with cross-functional partners to deliver projects on time and maintain high standards of work.

Key Responsibilities

• Collect, clean, and analyse large datasets to support business decision-making
• Build dashboards and visualisations using BI tools (Looker, Tableau, or Power BI)
• Write SQL queries to extract and transform data from multiple sources
• Present findings and recommendations to stakeholders across the organisation
• Design and run A/B tests to measure the impact of product or business changes
• Collaborate with data engineers to improve data quality and accessibility

Requirements

• Degree in Statistics, Mathematics, Economics, Computer Science, or related field
• Proficiency in SQL for querying and manipulating data
• Experience with data visualisation tools (Looker, Tableau, Power BI, or similar)
• Working knowledge of Python or R for data analysis
• Understanding of statistical methods and hypothesis testing
• Strong analytical thinking and business acumen

What We Offer

• $107,209 – $134,644 per year


• Health and wellness benefits


• Retirement savings plans


• Paid time off and holiday schedule


• Learning and development opportunities


• Flexible working arrangements


• Employee wellness programs


• Team building activities

Benefits vary by location, employment type, and individual circumstances. Review the full job posting for complete details.

Career Growth

Goldman Sachs supports professional growth through mentorship, learning budgets, and defined career paths. Team members are encouraged to develop new skills and take on increasing responsibility over time.

Location

This position is based in Seattle. Remote work is available for this role, with flexibility to work from home or any location with a reliable internet connection.

How to Apply

If you are ready to make an impact at Goldman Sachs, we encourage you to apply. Submit your application through the link below and a member of the recruitment team will be in touch. We review applications on a rolling basis and aim to respond within 5 business days.

Apply for this position

Frequently Asked Questions

Is the Machine Learning Engineer position at Goldman Sachs remote?

Yes, this Machine Learning Engineer role at Goldman Sachs offers remote work flexibility.

What is the salary range for this Machine Learning Engineer role?

The salary range for this position is USD 107,209 - 134,644 per year, depending on experience.

What qualifications are needed for this role?

Goldman Sachs is looking for candidates with relevant experience and skills matching the requirements listed above. Entry-level and experienced candidates are both encouraged to apply where indicated.