Senior Python Engineer — AI/ML Data Pipelines

Socket.dev; New York (NY); On-site; USD 175,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

PTO 20 days

Sick leave 10 days

Gym discounts

Learning & development

Job summary

WorldQuant seeks a senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting‑edge software solutions. This role will mentor junior team members, conduct code reviews, and drive architectural decisions across teams within WorldQuant's technology organization.

The ideal candidate will have deep Python expertise, strong data engineering background, and hands‑on experience with Pandas, PySpark, and cloud platforms.

Qualifications

• Master's degree or higher in Computer Science, Engineering, or a related technical field.
• 7+ years of experience as a Python developer with focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and ecosystem (Pandas, NumPy, PySpark).
• Proficiency in designing scalable, maintainable data pipelines.
• Experience with cloud platforms (AWS, GCP, Azure) and containers (Docker, Kubernetes).
• Expertise in version control (Git), CI/CD, and Agile methods.
• Strong communication skills for technical and non-technical stakeholders.
• Finance industry experience is a plus but not required.
• Experience with PyTorch or scikit-learn and LLMs is a plus.

Responsibilities

• Lead on complex data pipelines and AI/ML system development.
• Mentor junior team members and conduct code reviews.
• Drive architectural decisions across WorldQuant's tech organization.

Skills

Python development

Data engineering

AI/ML systems

Mentoring

Code reviews

Architectural decisions

Communication

Experience with LLMs

Education

Master's degree or higher in CS/Engineering

Tools

Pandas

NumPy

PySpark

Docker

Kubernetes

Git

CI/CD

Job description

WorldQuant seeks a senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting‑edge software solutions. This role will mentor junior team members, conduct code reviews, and drive architectural decisions across teams within WorldQuant's technology organization.

The ideal candidate will have deep Python expertise, strong data engineering background, and hands‑on experience with Pandas, PySpark, and cloud platforms.