Senior / Staff Machine Learning Engineer, Grow Therapy

Recommendations Systems

$170-210k

SQL
Python
Tensorflow
Scikit-Learn
PyTorch
Senior level
Remote in US
Grow Therapy

Tech-enabled mental health group

Open for applications

Grow Therapy

Tech-enabled mental health group

501-1000 employees

HealthcareB2CPersonal healthInternal toolsMental health

Open for applications

$170-210k

SQL
Python
Tensorflow
Scikit-Learn
PyTorch
Senior level
Remote in US

501-1000 employees

HealthcareB2CPersonal healthInternal toolsMental health

Company mission

To fundamentally transform mental healthcare accessibility.

Role

Who you are

  • Proven experience in building and deploying machine learning models in the context of search ranking or recommendation systems
  • 5+ years of experience as a ML engineer or Data Scientist- ideally at an early stage or high growth startup - specializing in machine learning algorithms
  • Past experience building algorithms from 0->1 and an entrepreneurial mindset
  • Strong programming skills in Python and SQL
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn)
  • Proficiency in working with large datasets, data preprocessing, and feature engineering
  • Knowledge of information retrieval, natural language processing, and ranking algorithms
  • Ability to work cross functionally with growth, engineering, product, and an executive team
  • Knowledge and experience in best practices in applying MLOps in an organization with an emphasis on continuous development and deployment

What the job involves

  • We are looking for a machine learning engineer who has worked in search and personalization and is scrappy and pragmatic, using data and deductive reasoning to apply practical approaches into their algorithms
  • They’ll work directly with our Director of Data to create a search algorithm that improves the matching experience between clients and providers
  • Design, develop, and deploy a scalable search ranking algorithm to enhance user experience on the Grow Therapy platform
  • Collaborate with data scientists to define and extract relevant features from large datasets
  • Implement machine learning models for search ranking, including training, evaluation, and optimization
  • Develop and maintain data pipelines and infrastructure to support the continuous improvement of the search algorithm
  • Comfortable with A/B testing design and analysis of performance differences between existing and new model variations to ensure confidence in positive business outcome improvements

Our take

Mental health issues affect about 20% of Americans, so there’s an immense need for qualified mental healthcare in the US. However the vast majority of therapists don’t accept insurance due to the prohibitive administrative workload involved. This leaves therapy out of reach for many Americans. So it’s no surprise that the Grow Therapy platform has seen skyrocketing popularity since it was founded in 2020.

Grow Therapy helps therapists open their own in-network practices, providing the technology, support, and resources to tackle the extra operational workload that would allow them to take insurance. It’s currently live in 13 states, and is working in partnership with all the major insurance payers including Humana, Aetna, Cigna.

The company has clearly grown into a solid market niche, and recent Series B funding will help expand that niche, growing the company's presence to all 50 states and improving its platform's capabilities. While this will intensify the competition between Grow and larger rivals Alma and Quartet Health that are operating in the same space, this is a big enough market for several major participants.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

208% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Apr 2024

$88m

SERIES C

Sep 2022

$45m

SERIES B

Total funding: $148m

Company benefits

  • Winter break: Unlimited PTO and a week off in December to recharge
  • Wellness stipend: $300 to spend on things that helps you take care of yourself
  • Mental health break: Take 2 hours every week to journal, exercise, or sleep in
  • Learning stipend: $500 to spend on things that helps you grow in your career
  • Meals on us: Lunch and dinner in office to fuel your body and your mind
  • Remote office setup: $1000 stipend for remote employees to equip your home office

Company values

  • Therapists are the center of our world: We take care of our therapists, so that they can take care of us all
  • Structured thinking earns ears: We structure our thinking so that our goals are always front and center
  • Ideate constantly, share openly: We celebrate curiosity and open mindedness so that our teams can collaborate with confidence
  • Early evaluation, continual learning: We never launch and forget. We always evaluate our decisions so we can continuously innovate
  • Kindness & humility are prerequisites: When things go well, we share the credit. When things go poorly, we shoulder responsibility

Company HQ

Midtown Manhattan, New York, NY

Leadership

Previously CFO at Campus Enterprises, before moving into investment at Apollo Global Management and then Blackstone.

Alan Ni

(CTO)

Worked as a product manager at Google, HVF Labs, and then Stripe.

Is completing both a doctorate of medicine and a master's course in business administration at Harvard.

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