Machine Learning Engineer, GenAI Technology

AI overview

Join a team dedicated to developing scalable AI/ML architectures and systems while collaborating closely with various teams to integrate the latest technologies into innovative products.

A Career with Point72's Technology Team

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.



What you’ll do

  • 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.

 

What’s required

  • 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.

 

 

Point72 Asset Management, led by Steven Cohen, is a global firm specializing in diverse asset classes and strategies, prioritizing superior returns and ethical standards through innovative talent development and data-driven decision-making.

View all jobs
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Machine Learning Engineer Q&A's
Report this job
Apply for this job