GenAI ML Engineer - Build Scalable AI Solutions

Point72; Stamford (CT); On-site; USD 185,000 - 300,000; Full time

Benefits offered by this job

Fully-paid health care benefits

Parental and family leave

Mental and physical wellness programs

Volunteer opportunities

Non-profit matching gift program

Affinity groups for women, minorities,

LGBTQ+ community

Tuition assistance

401(k) with employer match

Job summary

Point72's Technology team is shaping the future of investing by building scalable AI/ML architectures and systems. You will collaborate with data scientists, engineers, product teams, and compliance to embed AI/ML solutions into core products.

You’ll evaluate tools and approaches to maximize quality and performance, stay current with AI/ML advances, and ensure adherence to industry standards and ethical practices in all deployments.

Qualifications

• Bachelor's or Master's in CS/Engineering or related field.
• 3-7 years of AI/ML engineering experience with proven delivery.
• Proficiency in ML frameworks: TensorFlow, PyTorch, Scikit-learn.
• Programming in Python, Java, or C++.
• Strong problem-solving and communication skills.
• Commitment to highest ethical standards.

Responsibilities

• Develop and maintain scalable AI/ML architectures and systems.
• Collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.
• Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems.
• Stay abreast of the latest advancements in AI/ML technologies and methodologies.
• Ensure compliance with industry standards and best practices in AI/ML

Skills

ML frameworks

Python

Java

C++

Problem solving

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Point72's Technology team is shaping the future of investing by building scalable AI/ML architectures and systems. You will collaborate with data scientists, engineers, product teams, and compliance to embed AI/ML solutions into core products.

You’ll evaluate tools and approaches to maximize quality and performance, stay current with AI/ML advances, and ensure adherence to industry standards and ethical practices in all deployments.