Software Engineer, Machine Learning (MLOps & Data)

A Career with Point72’s Surveillance Team

On the Knowledge Graph Intelligence team, you’ll work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. 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.

What you’ll do

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:

• 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.
• 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.
• Own the MLOps framework for model training, versioning, and deployment, including CI/CD pipelines, automated workflows, and experiment tracking and evaluation tooling.
• 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.
• Leverage cutting-edge tools and techniques like quantization and compilation to maximize throughput and minimize latency.
• Collaborate with data scientists to develop models and optimize model performance for low-latency serving using techniques like Python performance tuning.
• 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.

What’s REQUIRED

• 5+ years of experience in a software, data, or ML engineering role.
• Strong proficiency in SQL.
• Experience building and orchestrating data pipelines using tools such as Spark, dbt, and Dagster/Airflow, as well as data warehouses like Snowflake, Redshift, BigQuery.
• Understanding of infrastructure as code, including experience with Terraform.
• Proficiency with containerization and orchestration including Docker and Kubernetes.
• Hands-on experience with CI/CD tools and ML lifecycle tools, including Jenkins, MLflow, Kubeflow, and W&B.
• 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.
• Understanding of modern ML models and ability to discuss the performance characteristics and engineering trade-offs that influence deployment decisions.
• Experience with systems incorporating Graph Neural Networks (GNNs), recommendation systems, anomaly detection, and complex time-series models.
• 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 $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.

A Career with Point72’s Knowledge Graph Intelligence Team

On the Knowledge Graph Intelligence team, you’ll work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. 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.

What you’ll do

As AI becomes pervasive, carefully designed context is key to its success. We are seeking a Knowledge Engineer to contextualize our organizational data by building the enterprise knowledge graph at the core of our intelligence infrastructure. Specifically, you will:

• Integrate structured and unstructured datasets into the enterprise knowledge graph.
• Design and expand the core ontologies underpinning the graph architecture.
• Enforce data quality and consistency across the graph using SHACL shapes and validation metrics.
• Evolve our entity master to capture the complexity of our environment without sacrificing precision.
• Drive accurate entity resolution using methodologies and dedicated tooling.
• Optimize queries and graph structures to ensure high performance at scale.
• Develop AI agents and LLM pipelines to automate knowledge extraction and engineering workflows.

What’s required

• 5+ years of experience in knowledge engineering, data engineering, or backend development.
• Deep understanding of W3C knowledge engineering standards (RDF, SPARQL, OWL, SHACL).
• Proven experience with Master Data Management (MDM) and complex entity resolution.
• Strong proficiency in database systems, indexing, and query optimization.
• Applied knowledge of ontology engineering methodologies.
• 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
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBT+ community
• 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.

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.

Product Designer, Knowledge Graph Intelligence

A Career with Point72’s Compliance Team

The Point72 Compliance department is an industry-leading team of compliance professionals who support global investment and trading activities by establishing and enforcing the firm’s compliance policies, providing real-time advice, and conducting pre- and post-trade surveillance. Our team is essential to Point72’s success and we provide mentorship, a growth path, and the opportunity for a long-term career with us.

What you’ll do

As a Product Designer, you will join our Knowledge Graph Intelligence team, which focuses on developing technical applications for investment operations. Specifically, you will:

• Execute the design process for new features and improvements, from concept to delivery, for our suite of investment applications.
• Collaborate closely with product managers, engineers, and stakeholders to understand requirements and translate them into user-centered design solutions.
• Conduct user research and usability testing to gather insights and validate design decisions.
• Create wireframes, prototypes, and high-fidelity designs that adhere to and contribute to our design system.
• Advocate for UX best practices while fostering a culture of design thinking and customer-centricity across the team.
• Measure and analyze user engagement to identify opportunities for product improvement.
• Stay abreast of UX trends, tools, and technologies, and share knowledge with the team to foster innovation.

What’s required

• 5 years of experience in UX design, with a proven track record of delivering user-centric solutions in an agile development environment.
• A degree in UX design, human-computer interaction, or a related field, or equivalent practical experience.
• A strong portfolio showcasing expertise in UX design, particularly in the context of web applications for financial services or similar complex domains.
• Demonstrated proficiency in design and prototyping tools, such as Figma and/or Adobe XD, and a solid understanding of HTML, CSS, and JavaScript.
• Excellent communication and collaboration skills, with the ability to articulate design decisions and incorporate feedback from multiple stakeholders.
• Passion for understanding the needs of users with experience conducting user research and usability testing.
• 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 $120,000-$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.