Senior Software Engineer, AI/ML Platform
A Career with Point72's AI/ML – Investment Services Team
The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.
WHAT YOU'LL DO
- Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows
- Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data
- Develop robust APIs and microservices to support model inference, feature serving, and downstream applications
- Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines
- Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements
- Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health
- Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions
- Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability
- Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability
WHAT'S REQUIRED
- Bachelor’s degree in computer science, software engineering, or a related technical field
- Minimum 5+ years of professional experience building backend systems and production services
- Demonstrated experience designing and operating large-scale data engineering pipelines for both batch and streaming workloads
- Demonstrated hands-on engagement with generative AI tools or development workflows, including model inference, embeddings, or model fine-tuning
- Proficiency in Python and in at least one systems language such as Java, Go, or C++
- Strong experience with cloud platforms and services for compute and storage and with containerization and orchestration technologies such as Kubernetes
- Proven experience with databases and messaging or stream-processing technologies for high-throughput workloads
- Experience designing and implementing APIs, microservices, CI/CD pipelines, automated testing, and observability tooling
- Excellent verbal and written communication skills and demonstrated ability to work effectively with cross-functional teams to deliver impactful solutions
- 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:
- Health care benefits
- Maternity, Adoption & related leave policies
- Generous paternity and family care leave policies
- Employee Assistance Program & Mental wellness programs
- Transportation support
- Tuition assistance
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/.
Skills Required
- Bachelor’s degree in computer science, software engineering, or a related technical field
- 5+ years of professional experience building backend systems and production services
- Experience designing and operating large-scale batch and streaming data engineering pipelines
- Hands-on experience with generative AI tools or workflows, including model inference, embeddings, or model fine-tuning
- Proficiency in Python and at least one systems language such as Java, Go, or C++
- Experience with cloud platforms and services for compute and storage
- Experience with containerization and orchestration technologies such as Kubernetes
- Experience with databases and messaging or stream-processing technologies for high-throughput workloads
- Experience designing and implementing APIs, microservices, CI/CD pipelines, automated testing, and observability tooling
- Excellent verbal and written communication skills
- Ability to work effectively with cross-functional teams
- Commitment to the highest ethical standards
Point72 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Point72 and has not been reviewed or approved by Point72.
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Healthcare Strength — Healthcare coverage is described as exceptional with comprehensive options and low out-of-pocket costs. Medical, dental, and vision are characterized as fully covered or no-premium for U.S. employees.
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Retirement Support — The 401(k) program features a generous employer match and access to after-tax contributions with in-plan Roth conversions. Value accrues through a multi-year vesting schedule that rewards tenure.
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Parental & Family Support — Parental and family leave is highlighted as generous and has strengthened over time. Clear primary and secondary caregiver policies are in place and seen as competitive.
Point72 Insights
What We Do
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’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’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 www.Point72.com/working-here.
