Job Information
Goldman Sachs & Company Compliance-New York-Vice President-Software Engineering in New York, New York
YOUR IMPACT
Are you passionate about delivering mission-critical, high quality machine learning models, using cutting-edge technology, in a dynamic environment?
OUR IMPACTWe are Compliance Engineering, a global team of more than 300 engineers and scientists who work on the most complex, mission-critical problems.
We:
- build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm.
- have access to the latest technology and to massive amounts of structured and unstructured data.
- leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications.
Within Compliance engineering, we are hiring for a Machine Learning Engineering role within Models Engineering. The firm is making a significant investment improve the precision/ recall of the Compliance models portfolio in 2024. To achieve that we are hiring experienced MLEs who have experience of developing and deploying ML models for big data in a distributed architecture.
HOW YOU WILL FULFILL YOUR POTENTIAL
As a member of our team, you will:
- Work with large scale structure and unstructured data. Drive end to end Machine Learning projects that have a high degree of scale and complexity
- Build infra for machine learning which involves feature engineering and scaling models to work at scale
- Develop, productionize, and maintain ml models
- Run ML experiments by constantly tuning the features and the modeling approaches, documenting findings and results
- Collaborate closely with ML researchers, to accelerate the usage of cutting edge models
- Perform code reviews and ensure code quality
QUALIFICATIONS
A successful candidate will possess the following attributes:
- A Bachelor's or Master's degree in Computer Science, or a similar field of study.
- 6+ years of hands-on experience with building scalable machine learning systems
- Solid coding skills and strong Computer Science fundamentals (algorithms, data structures, software design)
- Expertise in Python & PySpark
- Experience in working with distributed technologies like Scala, Pyspark, Iceberg, HDFS file formats (avro, parquet), AWS/ GCP, big data feature engineering.
- Experience in system design and evaluating the pros and cons of database choices, schema definition for data storage.
- Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit-Learn, HuggingFace)
Experience in some of the following is desired and can set you apart from other candidates :
- Prior experience with LLMs and Prompt Engineering
- Prior experience in architecting/ deploying ML applications on AWS/ GCP
- Prior experience in code reviews/ architecture design for distributed systems.
ABOUT GOLDMAN SACHS
Goldman Sachs is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.
Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.
The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.
Minimum Salary: 150000.00 Maximum Salary: 250000.00 Salary Unit: Yearly