AI/ML Engineer at Goldman Sachs (2026) – Salary, Skills, Responsibilities & How to Apply
About Goldman Sachs
AI/ML Engineer at Goldman Sachs Dallas is one of the world’s leading investment banks, known for transforming global finance through innovation, technology, and data-driven decision-making. Their engineering teams build high-performance systems, AI-driven platforms, and scalable financial solutions that power global markets.
📍 Job Overview
- Role: AI/ML Engineer (Associate)
- Company: Goldman Sachs
- Location: Dallas
- Division: Global Banking & Markets (Investment Banking)
- Job Function: Software Engineering
- Experience Level: 1–3 Years
- Employment Type: Full-Time
AI/ML Engineer at Goldman Sachs Dallas If you’re passionate about AI, quantitative finance, and solving complex real-world problems, this role offers a career-defining opportunity Android Software Engineer at Amazon WA Seattle
Role Summary – AI/ML Engineer
AI/ML Engineer at Goldman Sachs Dallas As an AI/ML Engineer, you will work at the intersection of:
- Artificial Intelligence 🤖
- Quantitative Finance 📊
- Data Engineering ⚙️
Citi Data Engineer Job in Jersey City You’ll design intelligent systems that help improve:
- Revenue generation
- Capital efficiency
- Risk management
- Operational automation
This role is ideal for candidates who want to apply machine learning in real-world financial markets.
Key Responsibilities
AI Model Development & Deployment
- Build and deploy scalable AI/ML models
- Design agentic workflows for automation
- Optimize models for real-time financial data
Data-Driven Decision Making
- Conduct experiments and performance analysis
- Improve model accuracy using advanced techniques
- Translate data insights into business impact
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Cross-Team Collaboration
- AI/ML Engineer at Goldman Sachs Dallas Work with equities, trading, and banking teams
- Deliver AI-driven solutions with measurable ROI
- Communicate insights to stakeholders
Software Engineering Excellence
- Develop production-ready systems
- Ensure scalability, reliability, and performance
- Maintain and improve AI pipelines
Required Skills & Qualifications
Education
- Degree in:
- Computer Science
- Machine Learning
- Mathematics / Physics
- Quantitative Finance
Technical Skills
- Programming: Python / Java
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn
- Data Tools: Pandas, NumPy
- Cloud/DevOps knowledge is a plus
Core Competencies
- Strong understanding of:
- Machine Learning Algorithms
- Statistical Modeling
- Data Structures & Algorithms
- Soft Skills:
- Problem-solving mindset
- Ownership & accountability
- Collaboration & communication
Salary Insights (2026)
AI/ML Engineer at Goldman Sachs Dallas For an AI/ML Engineer (Associate) at Goldman Sachs in Dallas:
- Base Salary: $110,000 – $140,000/year
- Bonus: $15,000 – $40,000
- Total Compensation: $130,000 – $180,000+
👉 Salaries vary based on experience, skills, and performance.
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Why This Role is High-Demand in 2026
AI in finance is exploding
Top trends driving demand:
- AI-powered trading systems
- Predictive risk analytics
- Automated investment strategies
- Fraud detection using ML
Working at Goldman Sachs gives you exposure to real-world, high-impact AI systems.
Career Growth Opportunities
Starting as an Associate, you can grow into:
- Senior AI/ML Engineer
- Quantitative Researcher
- Data Scientist (Finance)
- VP / Engineering Lead
This role opens doors to top fintech and hedge fund careers.
How to Prepare for This Role
AI/ML Engineer at Goldman Sachs Dallas To increase your chances:
Learn Core Skills
- Machine Learning & Deep Learning
- Financial Markets Basics
- System Design
👉 Also read this guide for interview prep:
https://diceusajobportal.com/how-to-prepare-for-a-java-interview-2026/
How to Apply
- Visit the official Goldman Sachs careers page
- Search for AI/ML Engineer – Dallas
- Submit your resume + projects
- Prepare for coding + ML interviews
APPLY NOW: https://higher.gs.com/roles/161628
FAQs
1. Is Goldman Sachs good for AI/ML engineers?
Yes, it’s one of the best companies for applying AI in real-world financial systems at scale.
2. Do I need finance knowledge?
Not mandatory, but basic understanding of markets is highly beneficial.
3. What programming languages are required?
Mainly Python and Java, along with ML frameworks.
4. Is this role suitable for freshers?
It requires 1–3 years of experience, but strong projects can help.
5. What makes this role unique?
You’ll work on AI + finance, one of the highest-paying and fastest-growing tech domains.
Final Thoughts
If you’re looking to break into AI-driven finance, this role at Goldman Sachs is a golden opportunity. It combines:
- Cutting-edge AI
- Real financial impact
- High salary potential
👉 Perfect for ambitious engineers ready to work on next-gen financial technology systems.
