Applied Research - Artificial Intelligence - London - Associate
Goldman Sachs · London, England, United Kingdom
- On site
- Full-time
- $150,000 / year
- London, England, United Kingdom
Job highlights
- Research AI/ML in financial domain.
- Develop production-ready AI/ML code.
- Lead cross-team AI projects.
- Contribute to open-source communities.
- Requires Master's/Ph.D. and 1-3 years experience.
About the role
About the Role
Goldman Sachs is seeking an Applied AI Researcher to join our dynamic Applied Artificial Intelligence (AI) Research team in London. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm. You will have the opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems within the financial domain. Join us in redefining the boundaries of what's possible at the intersection of quantitative research and artificial intelligence!
Responsibilities
- Collaborate effectively with colleagues to advance production machine-learning systems and applications.
- Conceptualize, experiment with, and assess AI/ML-based software systems.
- Develop, test, and maintain high-quality, production-ready code.
- Demonstrate technical leadership by taking charge of cross-team projects.
- Create libraries and frameworks that underpin reliable and testable systems.
- Represent Goldman Sachs at conferences and within open-source communities.
Required Qualifications
- Strong hands-on experience building and maintaining large-scale Python applications.
- A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
- A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
- Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
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.
Key skills/competency
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Natural Language Processing
- Python
- Software Development
- Quantitative Finance
- Research
- Problem Solving
- Technical Leadership
Skills & topics
- Applied AI Researcher
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Natural Language Processing
- Python
- Software Development
- Quantitative Finance
- Research
- London
How to get hired
- Tailor your resume: Highlight Python, AI/ML, and quantitative finance experience for the Applied AI Researcher role.
- Showcase your projects: Detail your experience with large-scale Python applications and AI/ML systems.
- Prepare for technical interviews: Brush up on Python, ML algorithms, and financial quantitative workflows.
- Demonstrate leadership: Emphasize any experience leading projects or representing teams.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key AI/ML domains for this Applied AI Researcher role at Goldman Sachs?
- The Applied AI Researcher role at Goldman Sachs focuses on machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems, particularly within the financial domain.
- What is the required educational background for the Applied AI Researcher position?
- A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience is required for this role.
- How much industry experience is needed for the Applied AI Researcher job at Goldman Sachs?
- Goldman Sachs requires a minimum of 1-3 years of AI/ML industry experience for the Applied AI Researcher position, demonstrating expertise in the field.
- What kind of software development experience is expected for this role?
- Candidates are expected to have extensive experience in software development for quantitative investment workflows, specifically in equities, fixed income, or multi-asset strategies.
- Will I have the opportunity to represent Goldman Sachs externally in this role?
- Yes, as an Applied AI Researcher, you will have the opportunity to represent Goldman Sachs at conferences and within open-source communities.
- What programming languages are essential for the Applied AI Researcher role?
- Strong hands-on experience building and maintaining large-scale Python applications is a required qualification for this role.
- What are the main responsibilities of an Applied AI Researcher at Goldman Sachs?
- Responsibilities include collaborating on ML systems, conceptualizing and experimenting with AI/ML software, developing production-ready code, demonstrating technical leadership, creating libraries, and representing the firm externally.