Senior AI/ML Software Engineer — HPC & Data Analytics

Higher Ground Labs; New York (NY); Hybrid; USD 175,000 - 250,000; Full time

Job summary

Swayable is seeking a Senior Engineer with strong Python and scientific computing skills to advance our AI-powered analytics engine. You will build and improve tools for high-performance data analysis, working with engineers, data scientists and researchers across ML, visualization, and software architecture.

The role emphasizes scalable, testable code, thoughtful system design, and mentoring junior engineers while staying current with ML/AI tooling and Ops.

Qualifications

• 5+ years of professional experience building scientific or quantitative data-intensive software.
• Expertise in the scientific Python stack, OO design and test-driven development, vectorized code, and machine learning.
• Excellent problem solving skills and attention to detail.
• Expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.
• Keeps up with evolving toolsets for ML and AI Ops.
• Knowledgeable about software architecture and scalable, performant solutions.
• Values code quality and writes maintainable, testable code.

Responsibilities

• Build, maintain and improve analytics tools and architecture for high-performance computing.
• Productize AI, ML and data analysis within the core product.
• Collaborate with engineers, data scientists and researchers on feature development.
• Design and implement scalable, distributed software solutions.

Skills

Scientific Python stack

Object oriented development

Test driven development

Distributed systems

Parallel computing

Machine learning

Problem solving

Code quality

Documentation writing

Mentoring

Education

Advanced degree (MSc/PhD) in STEM

Tools

Celery

MongoDB

Linux

Job description

Swayable is seeking a Senior Engineer with strong Python and scientific computing skills to advance our AI-powered analytics engine. You will build and improve tools for high-performance data analysis, working with engineers, data scientists and researchers across ML, visualization, and software architecture.

The role emphasizes scalable, testable code, thoughtful system design, and mentoring junior engineers while staying current with ML/AI tooling and Ops.