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Machine Learning Engineer, GenAI Technology

Point72

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What technology roles keep asking for: Stakeholder management (23%), Python (18%), Agile (17%), AWS (15%) — counted across their open postings here.

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Preparing for this interview

Interviews for technology roles keep coming back to Stakeholder management, Python, Agile, AWS. Practise those questions before you sit with Point72 .

Questions you are likely to be asked

  1. Why do you want to join Point72?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

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A Career with Point72’s Technology Team

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.

What you’ll do
Develop and maintain scalable artificial intelligence/machine learning (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, such as TensorFlow, PyTorch, and/or Scikit-learn.
Proficiency in programming languages such as Python, Java, or C++.
Excellent problem-solving skills with the ability to work independently and collaboratively.
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Commitment to the highest ethical standards.

WE TAKE CARE OF OUR PEOPLE:

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

 

ABOUT POINT72:

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/. 

The annual base salary range for this role is $180,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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Listed on greenhouse · posted 2026-07-27. ApplySarthi collects openings and links to application pages; the role is advertised by Point72 , not by us.