---
title: 'Machine Learning Engineer at Good Inside'
canonical: 'https://feeny.ai/job/machine-learning-engineer-good-inside-new-york-63b7zn2wh7aq'
type: 'job'
last_seen: '2026-09-08'
---

# Machine Learning Engineer at Good Inside

- **Company:** Good Inside
- **Location:** New York, NY
- **Posted:** 2026-02-10
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/goodinside/jobs/5049043007

## Job description

## Who We Are

Good Inside is redefining parenting - not as something that should “just come naturally,” but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community.

Our mission: help parents raise resilient, confident kids in a changing world. We’ve already reached millions, and we’re just getting started.  We’re refining our product and expanding our reach to empower even more families.

We’re looking for bold, high-ownership problem-solvers who want to build something new, tackle big challenges, and be at the forefront of change.

The Opportunity

Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role – we’re looking for a strong backend engineer who has hands-on experience shipping ML-powered features in production. You’ll work at the intersection of backend systems and machine learning, building the infrastructure and services that bring personalized, intelligent experiences to our users.

You should be comfortable working with ML APIs, understanding core ML concepts, and integrating models into reliable, scalable backend systems. Your primary identity is as a software engineer – someone who writes clean, production-grade code – with the added ability to reason about ML systems and bring them to life in our product.

You will collaborate closely with cross-functional partners, including product, design, mobile, and data teams, to build high-quality features that serve our users’ needs. Your ability to blend backend engineering excellence with practical ML knowledge will be essential as we continue to evolve and scale the Good Inside platform.

## What You’ll Own

- Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform
- Integrate and orchestrate ML models and third-party ML APIs (e.g., LLM providers, recommendation engines, embeddings services) into production systems
- Build data pipelines and infrastructure to support model serving, feature storage, and real-time personalization
- Collaborate closely with product, mobile, and design teams to translate ML capabilities into user-facing features
- Own the reliability, performance, and scalability of ML-adjacent backend systems
- Develop clean, maintainable, and well-documented code aligned with defined project scope
- Provide clear documentation of architectural decisions, implementation details, and handoff materials upon project completion
- Provide input on feature scope and sequencing to support timely and successful delivery of project deliverables

## Your Skills and Experience

- 5+ years of professional software engineering experience, with a strong focus on backend development
- Demonstrated experience shipping ML-powered features or products in a production environment
- Working knowledge of ML concepts (e.g., embeddings, classification, recommendation systems, LLMs) – you don’t need to train models, but you need to understand how they work and when to use them
- Hands-on experience integrating ML APIs and services (e.g., OpenAI, Anthropic, ElevenLabs, HuggingFace, AWS SageMaker, or similar)
- Proficiency in Python and/or another backend language (Go, Java, TypeScript/Node, etc.)
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized deployments
- Familiarity with data stores and pipelines relevant to ML workloads (e.g., vector databases, feature stores, streaming systems)
- Excellent interpersonal, verbal, and written communication skills
- Strong collaboration abilities and cross-functional relationship-building
- Self-starter with strong analytical and problem-solving skills
- Ability to stay organized and deliver results in a fast-paced, changing environment
- Computer Science degree or equivalent
- At least 2 years of experience in house as a ML Engineer

## Preferred Experience

- Startup Growth Experience: This isn’t your first time helping a high-growth startup scale. You are excited by the challenge and love creating and learning from the bottom up.
- Experience with LLM Application Development: You’ve built applications on top of large language models – prompt engineering, RAG pipelines, conversational AI, or similar – and understand the practical challenges of shipping LLM-powered features.
- Infrastructure & DevOps Fluency: Experience with CI/CD, monitoring, observability, and production-readiness for ML systems.
- Prior experience with recommendation systems, personalization engines, or content ranking algorithms in a user-facing product.

## What We Offer

- Competitive Compensation: base salary for this role will be $205k - $235k
- Company Equity
- Comprehensive benefits package
- 401k + Company match
- Time off to recharge
- A high-ownership, high-performance, high-collaboration culture

## Equal Employment Opportunity

Good Inside is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.

We are dedicated to growing a diverse team of highly talented people. As much as we believe in focusing on the parent behind the parenting and the child behind the behavior, we believe in focusing on the person behind the job. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the good inside of everyone..

If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.

For information about Good Inside's privacy practices, see our [Privacy Policy](https://www.goodinside.com/privacy-policy/). California applicants, please also see our [CA Applicant Privacy Notice](https://www.goodinside.com/privacy-policy/#california-applicant-privacy-notice).

## About Good Inside

## Company Overview
- **One-liner**: Good Inside is a global parenting movement that gives parents a better way to see and solve challenges by focusing on the parent behind the parenting and the child behind the behavior.
- **Entity Type**: Private (Seed VC stage)
- **Headquarters**: New York, New York, United States (1450 Broadway, Floor 29)
- **Founded**: 2020
- **Founders**: Dr. Becky Kennedy and Dr. Erica Belsky

## Core Business
- **Primary industry/industries**: Parenting guidance and support, personal development, family services, digital content & community.
- **Target customers**: B2C – parents, caregivers, and families globally.
- **Mission or purpose statement**: Help families heal by bringing out the good inside everyone, redefining parenting as a learnable skill rather than an innate instinct.

## Products & Services
- **Good Inside Method**: A clinical and evidence-based framework for addressing behavioral challenges, fostering connection, and building sturdy parenting skills. Delivered through books, courses, and coaching.
- **24/7 Membership & Community**: A subscription-based platform offering personalized guidance, AI-powered support (chatbot), access to experts (e.g., baby, tween/teen, feeding specialists), and a global community of parents.
- **Digital Content & Resources**: Blog posts, videos, social media content, and Dr. Becky Kennedy’s #1 *New York Times* bestselling book.

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric**: Total Funding – Seed VC round (amount not disclosed) from Inspired Capital and Offline Ventures.
- **Notable Investors/Partners**: Inspired Capital, Offline Ventures.
- **Growth Signals**:  
  - Community of over 2 million parents (as of careers page)  
  - Linkedin followers: 13,922 (up 51.6% YoY)  
  - Headcount: 72 employees (up 56.9% YoY, +41 people)  
  - 9 active job postings (up 125% YoY)  
  - Monthly headcount growth of +8.7%

## Competitive Advantages
- Founder-led credibility: Dr. Becky Kennedy is a clinically trained psychologist and #1 *NYT* bestselling author, giving the brand deep authority in the parenting space.
- Unique “parent + child” dual focus that differentiates from one-sided behavior management approaches.
- Proprietary AI‑powered chatbot and technology that scales personalized support.
- Established emotional brand connection and loyal community (millions of parents).

## Strategic Focus
- Refining and expanding the product (AI coaching, platform features) to serve more families.  
- Scaling reach through content, community growth, and strategic hires in engineering, product, and marketing.  
- Building a high‑ownership, bold team to drive innovation in the parenting‑tech space.

## Why Work Here
- **Culture**: Emphasizes open, honest communication, personal growth, self‑care, work‑life balance, and boundaries – aligned with the company’s parenting principles.
- **Flexible hybrid work**: Office located near Bryant Park in Manhattan; remote options for some roles.
- **Perks & Benefits** (from careers page):  
  - Competitive salary plus company equity  
  - Medical, dental, vision, disability & life insurance  
  - 16 weeks of parental leave  
  - 3 weeks vacation + sick leave + 11 paid holidays  
  - Two “Quiet Weeks” per year for rest  
  - Quarterly Self‑Care Fridays (fall, winter, spring) and Summer Fridays  
  - Career development and self‑development intertwined
- **Engineering culture**: Roles like Senior Machine Learning Engineer and Senior Platform Engineer indicate a tech-forward, data-driven environment.

## Sources
1. [careers page](https://www.goodinside.com/careers/)
2. [goodinside.com](https://www.goodinside.com/)
3. [Greenhouse job board](http://job-boards.greenhouse.io/goodinside)
4. [CB Insights](https://www.cbinsights.com/company/good-inside)
5. [LinkedIn](https://www.linkedin.com/company/goodinside)

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