Senior Machine Learning Engineer
$175k - $250k • New York • Full-time
Posted 1mo ago
Job Location
New York
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
WorldQuant is seeking an exceptional senior-level Python engineer to join a small team focused on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role involves managing technical objectives, providing technical leadership, and maintaining a hands-on development approach. The ideal candidate will collaborate across teams within the business-facing technology organization. The position requires deep expertise in Python development, data engineering, software architecture, and design principles, with the ability to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.
Responsibilities
- Manage technical objectives.
- Provide technical leadership.
- Maintain a hands-on approach to development.
- Work collaboratively across teams.
- Mentor junior team members.
- Conduct code reviews.
- Drive architectural decisions.
- Design and implement scalable, maintainable, and efficient data pipelines.
Requirements
- Master's degree or higher in Computer Science, Engineering, or a related technical field.
- 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
- Expert-level knowledge of Python and its ecosystem, including data processing libraries like Pandas, NumPy, and PySpark.
- Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
- Experience with cloud platforms (AWS, GCP, or Azure).
- Experience with containerization technologies (Docker, Kubernetes).
- Expertise in version control systems (Git).
- Expertise in CI/CD practices.
- Expertise in agile methodologies.
- Strong communication skills to explain complex technical concepts.
- Experience with AI/ML frameworks such as PyTorch, or scikit-learn.
- Experience with LLM, agents or systems of agents is a plus.
Benefits
- Fully paid medical and dental insurance for employees and dependents
- Flexible spending account
- 401k
- Fully paid parental leave
- Twenty vacation days
- Three personal days
- Ten sick days
- Employee discounts for gym memberships
- Wellness activities
- Healthy snacks
- Casual dress code
- Learning and development courses
- Speakers
- Team-building off-site
- Employee resource groups
- Discretionary performance bonus