Machine Learning Engineer

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

Company Description

nowfluence is building the trusted infrastructure layer for influencer marketing.

Backed by USC and Techstars, we're creating the software, data, and intelligence systems that help brands discover creators, launch campaigns, track ROI, manage payments, and make smarter investment decisions across the creator economy.

Our mission is simple: make influencer marketing measurable, scalable, and accessible to everyone. From global consumer brands to local restaurants, cafés, and emerging businesses, we're building the platform that helps companies confidently invest in creator partnerships.

As creator marketing becomes one of the largest advertising channels in the world, we're building the systems that power it.

Role Description

Founding Data Scientist / Machine Learning Engineer

We're looking for a highly ambitious Data Scientist to help build the predictive intelligence layer behind nowfluence.

This is not a reporting or dashboard role.

You'll be responsible for developing the models, pipelines, and analytics systems that help brands answer critical questions:

• Which creators are most likely to drive revenue?
• Which partnerships should be renewed?
• How can campaign outcomes be predicted before budgets are spent?
• How do we make influencer marketing more accessible and successful for SMBs?

You'll work across product, engineering, and data to transform creator, campaign, audience, and attribution data into scalable machine learning systems used by brands running influencer programs at scale.

Your work will directly influence how businesses allocate marketing budgets and make decisions across the creator economy.

Requirements

• 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

Bonus

• Recommendation Systems
• Marketing Attribution
• Shopify Data
• Creator Economy Experience
• LLMs and AI Agents
• Data Warehousing & ETL Systems

Join us as we build the intelligence layer powering the future of influencer marketing.