ML Engineer — Production Predictive Models for Influencer Marketing

Socket.dev; Los Angeles (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

nowfluence is seeking a founding Data Scientist / Machine Learning Engineer to help build the predictive intelligence layer behind our platform. You will develop models, pipelines, and analytics systems to answer critical business questions for brands and creators.

This role focuses on building production-grade ML infrastructure, driving scalable analytics, and collaborating with product, engineering, and data teams to empower SMBs with smarter influencer campaigns.

Qualifications

• Strong experience with Python, Machine Learning, and Predictive Modeling.
• Experience building production-grade data pipelines and analytics infrastructure.
• Proficiency with React, Next.js, TypeScript, and Tailwind CSS.
• Experience with PostgreSQL, APIs, and modern cloud architectures.
• Strong understanding of statistics, experimentation, and large-scale data analysis.
• Experience deploying ML models into production environments.
• Startup mindset with a desire to build and move quickly.

Responsibilities

• Develop models, pipelines, and analytics systems for predictive intelligence behind the platform.
• Transform creator, campaign, audience, and attribution data into scalable ML systems.
• Collaborate across product, engineering, and data teams to deploy production-ready solutions.
• Drive decisions on driving revenue and optimization through ML insights.

Skills

Python

Machine Learning

Predictive Modeling

Data Pipelines

React

Next.js

TypeScript

Tailwind CSS

PostgreSQL

APIs

Cloud architectures

Statistics

Experimentation

ML Deployment

Startup Mindset

Tools

PostgreSQL

APIs

Cloud architectures

Job description

nowfluence is seeking a founding Data Scientist / Machine Learning Engineer to help build the predictive intelligence layer behind our platform. You will develop models, pipelines, and analytics systems to answer critical business questions for brands and creators.

This role focuses on building production-grade ML infrastructure, driving scalable analytics, and collaborating with product, engineering, and data teams to empower SMBs with smarter influencer campaigns.