---
title: 'Machine Learning Engineer at Hang'
canonical: 'https://feeny.ai/job/machine-learning-engineer-hang-new-york-3cxmgrv7ajh7'
type: 'job'
last_seen: '2026-09-10'
---

# Machine Learning Engineer at Hang

- **Company:** Hang
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2023-11-14
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/hang/7b899a89-ed68-4988-8c3b-27ee46d6eca3

## Job description

Hang is building the future of loyalty for brands. [Hang](https://www.hang.xyz/) is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers. Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others). Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others.

## About the Role

We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.

## What You’ll Do

- Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
- Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies.
- Algorithm Optimization: Continuously test and refine algorithms to improve accuracy and efficiency.
- Collaborative Development: Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment.
- Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.
- Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology.

## Who You Are

- Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
- 5+ years of experience in machine learning and data related roles.
- Proven experience as a Machine Learning Engineer or in a similar role.
- Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch).
- Experience with data processing and data analytics.
- Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required.
- Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
- Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations.
- Experience with snowflake, Postgres, RDS, Redis and AWS.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills and ability to work well in a team.
- Experience with Ruby is a plus.

What Would Set You Apart

- You have a passion for consumer brands and loyalty programs.

## Benefits

- Top-tier health, vision, and dental insurance, including plans with $0 employee cost.
- Unlimited PTO / sick leave
- Competitive salary & equity compensation.
- Quarterly company offsites

## About Hang

## Company Overview
- **One-liner**: Hang provides an autonomous marketing platform that uses AI to power personalized loyalty programs, customer data unification, and gamified brand experiences.
- **Entity Type**: Private (Series A)
- **Headquarters**: New York, New York, United States
- **Founded**: 2021
- **Founders**: Matt Smolin (CEO), Chad Fox, Brian Bendett

## Core Business
- **Primary industry**: Loyalty Software / Marketing Technology (MarTech)
- **Target customers**: B2B; mid-market to enterprise brands in food & beverage, retail, hospitality, eCommerce, and entertainment
- **Mission or purpose statement**: To provide an autonomous marketing system that uses AI to personalize customer experiences and build brand loyalty.

## Products & Services
- **Hang Autonomous Marketing Platform**: An AI-powered platform that unifies customer data (CDP), generates personalized offers and segments, and creates gamified, immersive loyalty experiences (e.g., quests, minigames, leaderboards, referrals). It integrates with major POS and CRM systems.
- **Hang Copilot**: An AI assistant for marketers that enables text-to-analytics, auto-generated customer segments, and AI-driven offer creation.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding of $16M (Series A, July 2022)
- **Notable Investors/Partners**: Paradigm (lead), Tiger Global, Howard Schultz (former Starbucks CEO), Kevin Durant, Mr. Beast, and founders of Warby Parker, Allbirds, and Bombas. Partners include Ulta Beauty, Budweiser, Flipkart, Cinemark, ASICS, and numerous restaurant chains (Boba Guys, Just Salad, etc.).
- **Growth Signals**: Headcount of ~57 (as of Jan 2026), up from ~11 in 2024. High-profile client wins like Ulta Beauty (GlamXplorer program with 86% weekly return rate). Named to The Lead's Leading 100 list in 2024. Expanding AI capabilities with "Hang Copilot."

## Competitive Advantages
- **AI-First Personalization**: Uses AI agents to unify customer data and generate personalized offers and segments, moving beyond traditional rules-based loyalty.
- **Gamification Engine**: Proven ability to drive high engagement (e.g., Ulta Beauty's 86% weekly return rate) through minigames, quests, and social features.
- **Omnichannel Integration**: Deep integrations with major POS, CRM, and social media platforms, allowing brands to engage customers across all touchpoints.
- **High-Profile Backing**: Backed by top-tier investors (Paradigm, Tiger Global) and celebrity angels, signaling strong market confidence.

## Strategic Focus
- **AI-First Product Development**: Deepening AI capabilities with tools like Copilot for marketers and AI agents for data unification and offer generation.
- **Expansion in Restaurant & Retail**: Targeting the restaurant and retail verticals with specific solutions (e.g., AI Loyalty, AI CDP, AI Offers).
- **Partner Ecosystem Growth**: Expanding its integrator network (e.g., partnership with Qu) to reach more brands.

## Why Work Here
- **Culture**: Described as a fast-paced, innovative startup environment focused on redefining customer loyalty with cutting-edge AI.
- **Work Policy**: In-office or remote; HQ is in New York, NY. The company has a physical office presence.
- **Team**: Small but growing team (~57 employees) with a strong technical and product focus. Notable alumni from companies like Microsoft, Meta, and Nutanix.
- **Perks**: Opportunity to work on a high-impact product with major global brands (Ulta Beauty, Budweiser) and solve complex data and AI challenges.

## Sources
1. [hang.com](https://hang.com/)
2. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/hang)
3. [builtin.com](https://builtin.com/company/hang)
4. [tracxn.com](https://tracxn.com/d/companies/hang/__NrUmEMwSWDpo0_lfhWh06ICDUdvgKp5oRkEfHdSH12k)
5. [linkedin.com](https://www.linkedin.com/company/hang-cx)

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