Urwah Admin

Point72

<div><div><div><p><b>EXPERIENCE</b></p>
<div>Experienced Professionals</div>
</div><div><p><b>LOCATION</b></p>
<div>New York</div>
</div><div><p><b>FOCUS</b></p>
<div>Software &amp; System Engineering</div>
</div><div><p><b>BUSINESS</b></p>
<div>Point72</div></div></div></div>
<br><div><h3 class="jobSectionHeader"><b>A Career with Point72&rsquo;s Knowledge Graph Intelligence Team</b></h3>
<p>
On the Knowledge Graph Intelligence team, you&rsquo;ll work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. We&rsquo;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.</p><h3 class="jobSectionHeader"><b><br>
What you&rsquo;ll do</b></h3>
<p>
In this data-heavy role, you will design and build mission-critical infrastructure that powers our machine learning lifecycle, from large-scale data processing and feature engineering to model training, real-time deployment, and monitoring. Specifically, you will:</p><br>
<p></p><ul><li>
Architect and implement the full lifecycle of ML models, from data ingestion to production inference, contributing to the design of our next-generation, event-driven architecture, using technologies like gRPC, Kafka, and high-performance API frameworks, like FastAPI, Spring WebFlux, and Axum.</li><li>
Engineer and automate robust, large-scale data processing pipelines (ETL/ELT) using tools like Spark, dbt, and workflow orchestrators, and lead the design and implementation of our Feature Store strategy.</li><li>
Own the MLOps framework for model training, versioning, and deployment, including CI/CD pipelines, automated workflows, and experiment tracking and evaluation tooling.</li><li>
Implement sophisticated deployment strategies, including canary, blue-green, shadow, and A/B testing, to ensure safe, zero-downtime releases, and optimize inference performance for LLMs and other large models.</li><li>
Leverage cutting-edge tools and techniques like quantization and compilation to maximize throughput and minimize latency.</li><li>
Collaborate with data scientists to develop models and optimize model performance for low-latency serving using techniques like Python performance tuning.</li><li>
Define, provision, and manage our cloud infrastructure using Terraform, working hands-on with a wide array of cloud services across compute, storage, and machine learning platforms.</li></ul><br>
<h3 class="jobSectionHeader"><b>
What&rsquo;s required</b></h3>
<ul><li>5+ years of experience in a software, data, or ML engineering role.</li><li>
Strong proficiency in SQL.</li><li>
Experience building and orchestrating data pipelines using tools such as Spark, dbt, and Dagster/Airflow, as well as data warehouses like Snowflake, Redshift, BigQuery.</li><li>
Understanding of infrastructure as code, including experience with Terraform.</li><li>
Proficiency with containerization and orchestration including Docker and Kubernetes.</li><li>
Hands-on experience with CI/CD tools and ML lifecycle tools, including Jenkins, MLflow, Kubeflow, and W&amp;B.</li><li>
Experience with AWS and its core services including S3, EC2, Lambda, RDS, and EMR, and practical experience with Boto3 and AWS ML services SageMaker and Bedrock.</li><li>
Understanding of modern ML models and ability to discuss the performance characteristics and engineering trade-offs that influence deployment decisions.</li><li>
Experience with systems incorporating Graph Neural Networks (GNNs), recommendation systems, anomaly detection, and complex time-series models.</li><li>
Commitment to the highest ethical standards.</li></ul><br>
<h3 class="jobSectionHeader"><b>
We take care of our people</b></h3>
<p>
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:</p>
<ul><li>
Fully-paid health care benefits</li><li>
Generous parental and family leave policies</li><li>
Mental and physical wellness programs</li><li>
Volunteer opportunities</li><li>
Non-profit matching gift program</li><li>
Support for employee-led affinity groups representing women, minorities and the LGBT+ community</li><li>
Tuition assistance</li><li>
A 401(k) savings program with an employer match and more</li></ul><br>
<h3 class="jobSectionHeader"><b>
About Point72</b></h3>
<p>
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry&rsquo;s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry&rsquo;s brightest talent. We&rsquo;re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit <b>www.Point72.com/working-here</b></p><p><br>
The annual base salary range for this role is $175,000-$250,000 (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.</p></div>

Software Engineer, Machine Learning

<div><div><div><p><b>EXPERIENCE</b></p>
<div>Internships</div>
</div><div><p><b>LOCATION</b></p>
<div>New York</div>
</div><div><p><b>FOCUS</b></p>
<div>Software &amp; System Engineering | Fundamental Equities</div>
</div><div><p><b>BUSINESS</b></p>
<div>Point72</div></div></div></div>
<br><div><h3 class="jobSectionHeader"><b>A Career with Point72's L/S Equities Team</b></h3>
<p>
Long/Short Equity is Point72&rsquo;s core strategy and its success is dependent upon our sector-based investing teams. Using fundamental research, our research analysts inform the investment strategies of our portfolio managers. Through our Point72 University, you have access to an unparalleled training and coaching curriculum to help foster your success. We offer you a clear path based on your abilities, willingness to work hard, and performance. Join us if you're looking for a career at the forefront of investing.</p><h3 class="jobSectionHeader"><b><br>
WHAT YOU&rsquo;LL DO</b></h3>
<ul><li>Gain exposure to researching generative AI and code-assistant tools to for potential equity research workflows within the L/S Equities team in our New York office</li><li>
Support prototyping and iterating on AI-driven tools that surface investment insights and automate manual tasks</li><li>
Assist with implementing AI models and integrating coding-focused tools into developer workflows</li><li>
Evaluate model outputs, run basic experiments, and measure solution impact</li><li>
Collaborate with investment professionals and internal data teams to understand data needs, access sources, and translate requirements into technical tasks</li><li>
Help identify repetitive processes and scope opportunities for automation within research and analyst workflows</li><li>
Document prototypes, maintain reproducible code, and present findings to the team</li></ul><br>
<h3 class="jobSectionHeader"><b>
SUMMER INTERNSHIP PROGRAM AT POINT72</b></h3>
<p>
In addition to the learning and development you'll receive in your day-to-day role with your team, as a part of our summer internship program you will:</p><ul><li>
Work alongside your fellow interns and be mentored by experienced professionals</li><li>
Meet your peers through designated intern programming, volunteer opportunities, and social events</li><li>
Attend sessions with senior leaders discussing their expertise and career paths</li><li>
Get hands-on access to best-in-class tools and resources</li><li>
Gain exposure to groups and functions with unique responsibilities and perspectives on our industry</li><li>
Develop technical, writing, and presentation skills</li></ul><br>
<h3 class="jobSectionHeader"><b>
WHAT'S REQUIRED</b></h3>
<ul><li>Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, or a closely related field</li><li>
Hands-on programming experience in Python and familiarity with SQL or equivalent data query languages</li><li>
Practical experience implementing or integrating AI models or AI APIs into applications</li><li>
Demonstrated experience using coding-focused developer tools and AI code assistants, explicitly including Cursor and Codex</li><li>
Ability to identify manual or repetitive workflows and propose concrete automation opportunities</li><li>
Experience collaborating with data teams or data engineers to access, validate, and instrument datasets</li><li>
Strong problem-solving skills, curiosity about AI tools, and eagerness to learn in a fast-paced team environment</li><li>
Commitment to the highest ethical standards</li></ul><br>
<h3 class="jobSectionHeader"><b>
ABOUT POINT72</b></h3>
<p>
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 <b>https://point72.com/1</b>.</p><p><br>
The annual base salary is $130,000-$140,000 (USD) which will be prorated based on internship start and end date. 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.</p></div>

2026 AI Intern, Long/Short Equities

Join Point72 and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Point72

About Company

Software Engineer, Machine Learning

2026 AI Intern, Long/Short Equities