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Point72, L.P

Staff Machine Learning Engineer, GenAI Technology New York | CT

Point72, L.P, New York, New York, us, 10261

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Staff Machine Learning Engineer, GenAI Technology New York | CT

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 As a Principal Engineer - AI/ML, you will serve as a senior individual contributor, responsible for overseeing technical decisions and directing the architecture of AI/ML-related systems and services. You will collaborate with cross-functional teams to ensure the successful implementation and integration of AI/ML solutions that align with our strategic goals. Specifically, you will:

Lead the design and development of scalable AI/ML architectures and systems

Make critical technical decisions to guide the direction of AI/ML projects

Collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products

Evaluate and recommend tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems

Mentor and provide technical guidance to junior engineers and team members

Stay abreast of the latest advancements in AI/ML technologies and methodologies.

Ensure compliance with industry standards and best practices in AI/ML development

What’s Required

Bachelor's or master's degree in computer science, engineering, or a related field

10-15 years of experience in AI/ML engineering, with a proven track record of successful project delivery.

Extensive 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

We take care of our people

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 LGBTQ+ 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 www.Point72.com/about.

The annual base salary range for this role is $300,000-$400,000 (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.

Diversity Point72 invites you to provide the following information to assist it in tracking the effectiveness of its diversity initiatives in connection with its recruitment outreach. The provision of this information is voluntary and failure to provide it will not subject you to any adverse treatment. Where provided, the information will be kept confidential and will not form part of your application. No information will be published or used in any way which allows any individual to be identified.

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