Senior AI/ML Engineer: Python & Scientific Computing

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

Job summary

A fast-growing AI data science platform in New York is seeking a Senior AI/ML Engineer to enhance their core product's analytics engine. The role involves building and maintaining high-performance computing tools and optimizing distributed systems. Ideal candidates have 5+ years of experience in data-intensive software, strong Python skills, and advanced degrees in STEM fields. Salary range is between $175k and $250k, offering competitive compensation for the right expertise.

Qualifications

• 5+ years of professional experience in data-intensive software.
• Knowledge of evolving ML and AI Ops toolsets.
• Experience optimizing parallel computing systems.

Responsibilities

• Build and maintain high-performance computing tools.
• Continuously improve the analytics engine for the software platform.

Skills

Expertise in scientific Python stack

Problem-solving skills

Experience in distributed systems

Strong software architecture skills

Attention to detail

Education

Advanced degree (MSc or Ph.D.) in STEM

Tools

Celery

MongoDB

Job description

Company Overview

Swayable is a fast‑growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. Founded in 2018 by physics PhDs, the company is backed by top technology and social impact investors, including Y Combinator. Clients include major consumer‑facing brands, technology companies, academic researchers, and mission‑aligned civic advocacy campaigns.

Role Summary

Swayable is looking for a Senior AI/ML Engineer who blends Python software development expertise with scientific computing, machine learning, and AI experience to advance our core product’s analytics engine. In this role you will build, maintain, and continuously improve high‑performance computing tools, techniques, and architecture for a data‑intensive software platform.

Requirements

• 5+ years of professional experience building scientific or quantitative data‑intensive software.
• Expertise in the scientific Python stack, object‑oriented and test‑driven development, vectorized code, and machine learning.
• Excellent problem‑solving skills and attention to detail.
• Experience in architecting, maintaining, and optimizing distributed, parallel computing systems.
• Knowledge of evolving ML and AI Ops toolsets.
• Strong software architecture skills to design scalable, performant solutions.
• Commitment to code quality, maintainability, and testability.

Preferred Qualifications

• Advanced degree (MSc or Ph.D.) in STEM.
• Thorough knowledge of the Linux operating system.
• Experience with Celery and MongoDB.
• Data‑driven scientific method mindset.
• Ability to give and receive actionable technical feedback.
• Experience mentoring junior engineers.
• Strong written communication and documentation skills.

Salary

Salary range: $175k‑$250k.