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Inspired Capital

Machine Learning Engineer

Good Inside

Good Inside

Software Engineering
New York, NY, USA
Posted on Wednesday, May 8, 2024

About Good Inside

Welcome to Good Inside—the science based and revolutionary, expert-guided subscription membership that takes the guesswork out of parenting, offering in-the-moment, actionable strategies that create short-term wins while helping parents build kids’ confidence & long-term resilience. Good Inside was created to be a parent’s true co-pilot in every single step of their parenting journey - giving them the resources and support they need to feel empowered, sturdier, connected, and hopeful.

Fellow moms and clinical psychologists Dr. Becky Kennedy and Dr. Erica Belsky launched Good Inside in January 2021 after discovering that millions of parents around the globe were yearning for support along their parenting journey. Every parent seemed to know the parent they wanted to be, but no one knew how to get there. At Good Inside, we are determined to fill this gap. We believe that parenting is the most important, challenging, and ongoing job in the world—and that parents deserve resources and support.

The Good Inside philosophy is based on the idea that all parents (and kids!) are doing the best they can with the resources they have available at that moment. Dr. Becky shares deep ideas about child development and psychology and translates them into actionable, concrete strategies and scripts that parents can use in their home right away. As we empower parents with more resources—from skills to knowledge to community—they feel better on the inside and do better on the outside.

With a community of over 2 million parents around the globe, Good Inside is disrupting the parenting space, sharing ways of engaging with kids to deepen the parent-child connection, increase respect, set firmer boundaries, and improve behavior.

The Opportunity

Good Inside is looking for a strategically-minded, exceptionally organized Machine Learning Engineer (MLE) to join our team. This is a full-time position reporting directly to the Head of Engineering. As an MLE, you will be responsible for building our recommendation engine, delivering a one-of-a-kind hyper-personalized user experience fueled by state-of-the-art ML technologies. This is a hybrid role in Manhattan with three days a week onsite.

A Great Candidate…

  • Is excited about Good Inside's mission and is passionate about improving the lives of parents and children
  • Has a bias toward action, values experimentation, and is more interested in finding the right answer than being right
  • Values truthful, direct feedback, even when it can feel uncomfortable
  • Is a driven self-starter; you don’t wait to be told what to do but rather look around, spot problems and opportunities, and share ideas you’ve brainstormed
  • Is flexible and capable of doing many things (versus just one thing); our most successful employees wear multiple hats and are willing on a wide scope of responsibilities

What You’ll Be Responsible For

  • Join our ML team to design, develop, deploy and maintain our AI-powered services, with a primary focus on our recommendation service grounded in modern machine learning principles.
  • Stay up-to-date with the latest technology in ML/AI (Classical, Deep Learning, Generative AI - LLMs) and apply this knowledge to tackle complex problems in innovative ways.
  • Act as a resource for other engineers, as well as product managers, regarding all things ML/AI.
  • Collaborate with frontend & backend engineers on how to best serve data.
  • Documenting best practices, architectural choices, and processes related to software engineering and machine learning.

What We’re Looking For in You

  • You have a bachelor or masters in Computer Science, Engineering or equivalent experience
  • You have 1 to 3 years of coding experience in Python, as well as familiarity with frameworks including but not limited to Flask, Node.js, FastAPI.
  • You have a strong understanding of machine learning fundamentals and deep learning frameworks/tools such as TensorFlow/PyTorch, OpenAI/Huggingface, LangChain, etc.
  • You have excellent communication and interpersonal skills, with the ability to develop and maintain relationships at all levels within the organization
  • You have exceptional attention to detail and project management skills and experience with tooling like Jira and Notion

What We Offer

  • Compensation transparency range of $140,000 to $160,000 annually and company equity
  • Generous benefits package including Medical, Dental, Vision, Disability & Life Insurance
  • 3 weeks PTO, Sick Leave, 13 paid holidays
  • 2 “Quiet Weeks” per year, Self Care Fridays monthly during the Fall, Winter, and Spring, and Summer Fridays every Friday in the Summer
  • Flexible hybrid work environment with 3 days a week in-office at our Bryant Park location
  • A team committed to empowering parents in order to change the way this generation of children are raised.
  • A culture that balances hard work, self care, and open and honest communication - we live the Good Inside principles in our workplace from how we lead the company, to how we support employees personal growth, to how we always see the good inside each other.

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. California applicants, please also see our CA Applicant Privacy Notice.