Point72

Machine Learning Engineer, GenAI Technology

Point72
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2 months ago
New York, NY, USAMid Level / Senior
H1B sponsor

Base Salary

$180k - $300k/yr

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 AI/ML system quality and performance
  • Stay current with advancements in AI/ML technologies and methodologies
  • Ensure compliance with industry standards and AI/ML best practices

Requirements

  • Bachelor’s or master’s degree in computer science, engineering, or a related field
  • 3–7 years of experience in AI/ML engineering with a proven record of successful project delivery
  • Strong expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, and/or Scikit-learn
  • Proficiency in Python, Java, or C++
  • Ability to solve problems independently and collaboratively
  • Strong communication skills for explaining complex technical concepts to non-technical stakeholders
  • Commitment to high ethical standards

Benefits

  • Fully paid health care benefits
  • Generous parental and family leave policies
  • Volunteer opportunities and support for employee-led affinity groups
  • Mental and physical wellness programs
  • Tuition assistance
  • 401(k) savings program with employer match

Tech Stack

C++JavaPythonPyTorchscikit-learnTensorFlow

Categories

Point72

About Point72

1,001-5,000 employees

Point72 is a global alternative investment firm that deploys fundamental and systematic strategies across equities and other asset classes for institutional and qualified investors. The firm earns management and performance fees and also invests partner capital. Founded in 2014 by Steven A. Cohen and headquartered in Stamford, Connecticut, it operates a multi-manager platform with offices worldwide and a large in-house technology organization supporting research, trading, data, and risk.

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