Applied Research Artificial Intelligence London Associate
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Job Location:
Monthly Salary:
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
What We Do
At Goldman Sachs our Engineers dont 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. Create new businesses transform finance and explore a world of opportunity at the speed of markets.
Engineering which is comprised of our Technology Division and global strategist groups is at the critical center of our business and our dynamic environment requires innovative strategic thinking and immediate real solutions. Want to push the limit of digital possibilities Start here.
Who We Look For
Goldman Sachs is seeking anApplied AI Researcherto join our dynamic Applied Artificial Intelligence (AI) Research team. 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.
In this role 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 whats possible in the intersection of quantitative research and artificial intelligence!
Your responsibilities will include:
- Collaborating effectively with colleagues to advance production machine-learning systems and applications.
- Conceptualizing experimenting with and assessing AI/ML-based software systems.
- Developing testing and maintaining high-quality production-ready code.
- Demonstrating technical leadership by taking charge of cross-team projects.
- Creating 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 Masters 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.
The Goldman Sachs Group Inc. 2023. All rights reserved.
Required Experience:
IC
Key Skills
- Laboratory Experience
- ELISA
- Immunoassays
- Mammalian Cell Culture
- Biochemistry
- Cell Biology
- Research Experience
- Cell Culture
- Molecular Biology
- Microscopy
- Research Laboratory Experience
- Western Blot
About Company
The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.
