Senior AI/ML Engineer: Scientific Computing

About Swayable

Swayable measures how content changes people's opinions. We apply a variety of sophisticated machine learning classification, regression, causal AI, and GenAI-based analyses to survey-based data we collect. Customers receive high-level, actionable data about different group's responses through an ever-expanding portfolio of web-based visualizations, reports, and natural language interfaces. Our partners include Amazon, Meta, IBM, DoorDash, Airbnb, MIT, Stanford, and multiple Democratic presidential campaigns. This position is the perfect opportunity to join a fast-moving, high-impact, mission-oriented startup.

Technology stack

Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL.

About the role

Swayable is seeking a Senior Engineer blending Python software development expertise with scientific computing, machine learning, and AI experience to advance the state of the art analytics engine that powers our core product. In this role, you will be part of the team that productizes all AI, machine learning, and data analysis at Swayable. You will be responsible for building, maintaining, and continuously improving our tools, techniques, and architecture for high-performance computing. You will work with a talented and diverse team of engineers, data scientists, and research staff to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science.

Requirements

• You have 5+ years of professional experience building scientific or quantitative data-intensive software.
• You have expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning.
• You have excellent problem solving skills and attention to detail.
• You have expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.
• You keep up with the constantly evolving toolset for ML and AI Ops.
• You are knowledgeable about software architecture and can design scalable, performant solutions.
• You value code quality and write maintainable, testable code.

Preferred qualifications

• You have an advanced degree (MSc or Ph.D.) in STEM.
• You have a thorough knowledge of the Linux operating system.
• You have experience with Celery, and MongoDB.
• You believe in the scientific method and use data to drive decisions.
• You can give and receive informed, actionable feedback on technical and non-technical skills.
• You are experienced at mentoring junior engineers.
• You are a strong communicator, especially in text. You can write documentation and discuss the tradeoffs of different implementations.

Salary range: $175k-$250k

Originally posted on Himalayas