Senior Software Engineer, Research Data Infrastructure (AI)

Location: Onsite in New York City, United States, four days per week

Salary: $500,000–$800,000

Company

hirify.global partners with AI, machine learning, and data-driven companies to present the scope, team context, and technical expectations of career opportunities.

What you will do

• Build core research data infrastructure powering AI models, experimentation systems, and production investment workflows.
• Design and scale systems for high-throughput data movement, processing, storage, orchestration, observability, and reproducibility.
• Partner with research scientists to turn early-stage research needs into reliable infrastructure.
• Modernize existing systems and build new platforms, including pipelines, orchestration layers, monitoring, introspection, and data quality checks.
• Develop researcher and developer tooling that accelerates the transition from research ideas to production.
• Own hands-on implementation, debugging, operational improvements, and production reliability.

Requirements

• Senior-level software engineering experience with strong software engineering fundamentals and production ownership.
• Experience building distributed systems, data platforms, orchestration frameworks, or infrastructure supporting machine learning, scientific research, or complex experimentation.
• Strong Python and systems design abilities.
• Experience owning architecture, scalability, reliability, observability, and operational maturity.
• Ability to design systems, write production code, debug production issues, and improve platforms over time.
• Ability to work collaboratively with research scientists when requirements are ambiguous.
• Strong depth across distributed systems, high-throughput data infrastructure, workflow orchestration, batch or streaming systems, monitoring, schema design, data quality, and failure recovery.

Nice to have

• Experience with technologies such as Python, Spark, Kafka, Flink, Ray, Airflow, Databricks, Snowflake, Kubernetes, or similar distributed data systems; use of every listed tool is not required.

Culture & Benefits

• Permanent onsite role based in New York City with four expected office days per week.
• Work closely with research scientists, machine learning engineers, platform engineers, and investment specialists.
• Fast-moving, direct, and highly collaborative environment with ownership from research paper to production.
• Work on AI systems applied to financial markets, with emphasis on causality, diagnostics, reliability, and explainability.
• Use AI-native development workflows, coding agents, and automated engineering systems.