Machine Learning Engineer, Genai Technology

Point72New York, NY
22h$185,000 - $300,000

About The Position

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

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 track record of successful project delivery.
  • Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit- learn).
  • Proficiency in programming languages such as Python, Java, or C++.
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • 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.

Benefits

  • Fully-paid health care benefits
  • Generous parental and family leave policies
  • Mental and physical wellness programs
  • Volunteer opportunities
  • Non-profit matching gift program
  • Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community
  • Tuition assistance
  • A 401(k) savings program with an employer match and more
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