Machine Learning Engineer (Compliance Models Engineering) - Vice President - New York

YOUR IMPACT

Are you passionate about delivering mission-critical, high-quality machine learning models using cutting-edge technology in a dynamic environment? Join our team and make a significant impact!

OUR IMPACT

We are Compliance Engineering, a global team of over 300 engineers and scientists tackling the most complex, mission-critical challenges. Our team:

• Builds and operates platforms and applications to prevent, detect, and mitigate regulatory and reputational risks.
• Utilizes the latest technology and vast amounts of structured and unstructured data.
• Leverages modern frameworks to build responsive and intuitive UX/UI and Big Data applications.

We are seeking a Machine Learning Engineer to join our Models Engineering team. With a significant investment planned for 2024, we aim to improve the precision and recall of our Compliance models portfolio. We need experienced MLEs proficient in developing and deploying ML models for big data in a distributed architecture.

HOW YOU WILL FULFILL YOUR POTENTIAL

As a member of our team, your responsibilities will include:

• Working with large-scale structured and unstructured data to drive end-to-end Machine Learning projects.
• Building infrastructure for machine learning, including feature engineering and scaling models.
• Developing, productionizing, and maintaining ML models.
• Running ML experiments, tuning features and modeling approaches, and documenting findings.
• Collaborating closely with ML researchers to accelerate the use of cutting-edge models.
• Performing code reviews to ensure code quality.

QUALIFICATIONS

An ideal candidate will have the following attributes:

• Bachelor's or Master’s degree in Computer Science or a similar field.
• 6+ years of experience in building scalable machine learning systems.
• Solid coding skills and strong Computer Science fundamentals (algorithms, data structures, software design).
• Expertise in Python & PySpark.
• Experience with distributed technologies like Scala, PySpark, HDFS file formats (Avro, Parquet), AWS/GCP, and big data feature engineering.
• Experience in system design and database schema definition.
• Extensive experience with Machine Learning and Deep Learning toolkits (TensorFlow, PyTorch, Scikit-Learn, HuggingFace).

Experience in some of the following areas is a plus and can set you apart:

• Prior experience with LLMs and Prompt Engineering.
• Experience in deploying ML applications on AWS/GCP.
• Experience in code reviews and architecture design for distributed systems.

Salary Range

The expected base salary for this New York, New York, United States-based position is $150,000 - $250,000. Additionally, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits

Goldman Sachs is dedicated to providing valuable and competitive benefits and wellness offerings to our employees. These offerings are a crucial part of a strong overall employee experience. Generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, you can find a summary of these offerings .

Company Name: Goldman Sachs

Job Title: Compliance Models Engineering - Vice President - New York