Machine Learning Engineer, GenAI Technology

Point72 is hiring a Machine Learning Engineer, GenAI Technology in New York, United States. It pays $180k-$300k a year and Level rates it ; you can apply on Point72.

Level's read on this job

On Level's scale, this machine learning engineer role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
Level classifies it as a mid-level role.
Level lists 199 other open roles at Point72.

AI in this role

Develop and maintain scalable AI and machine learning architectures and systems for Point72's technology team.

PyTorchTensorFlowscikit-learnPythonJavaC

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:

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

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.

How we rate this

Machine Learning Engineer, GenAI Technology at Point72 rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Machine Learning Engineer, GenAI Technology is an open job at Point72.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $180k-$300k a year.
The role is based in New York, NY.
The job was posted on July 27, 2026.
Seniority: mid.
Applications are handled by Point72. Apply on Point72

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PyTorchTensorFlowscikit-learnPythonJavaC

Also common in machine learning engineer jobs at this level

LLM Deep learning AWS Kubernetes Spark MLOps

Pay

This job starts at: $180k
Typical machine learning engineer job: $199k

This posting starts 10% below the typical machine learning engineer job. See machine learning engineer jobs

Questions you could be asked

What's a project where you used PyTorch hands-on?
Walk me through how you've used TensorFlow in your day-to-day work.
What are the limits of scikit-learn that you've run into, and how did you work around them?
What's a project where you used Python hands-on?
Walk me through how you've used Java in your day-to-day work.

Adapt your resume

List these exact terms on your resume: PyTorch, TensorFlow, scikit-learn, Python, and Java. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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