Senior Mobile Engineer, Slingshot AI

$175-250k

+ Equity

React

Kubernetes

TypeScript

React Native

GCP

Python

Kotlin

Swift

Rust

Next.js

Ionic

Flutter

Senior and Expert level

New York

More information about location

3-5 days a week in office

Foundational model for psychology

Open for applications

Foundational model for psychology

1-20 employees

HealthcarePersonal healthArtificial IntelligenceDeep TechMental healthMachine LearningWellbeing

Open for applications

$175-250k

+ Equity

React

Kubernetes

TypeScript

React Native

GCP

Python

Kotlin

Swift

Rust

Next.js

Ionic

Flutter

Senior and Expert level

New York

More information about location

3-5 days a week in office

1-20 employees

HealthcarePersonal healthArtificial IntelligenceDeep TechMental healthMachine LearningWellbeing

Company mission

To use AI to make Mental Health Care more accessible.

Job

Company

Role

Who you are

Solid experience building and shipping mobile-first consumer apps using multi-platform frameworks. We use Flutter but we welcome backgrounds like React Native, Ionic, KMP, or both Swift and Kotlin
Full-stack experience, developing backend endpoints for frontend features, interacting with databases, defining clear contracts, and maintaining a scalable and performant product. Some backend experience is critical
User-centric and product-minded with a relentless focus on delivering exceptional user experiences and strong attention to detail in UX/UI
Experience working in a fast paced environment, working at lightning speed to ship fast
Self starter and a keen learner with an ability pick up new tools, languages, and concepts on the job. We don’t need you to be an Machine Learning Engineer, but having an interest in AI helps!

What the job involves

This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally
As a Senior Mobile Engineer, you will play a critical role in building the user experience for our AI Therapy application, Ash
You will work closely with our ML team to implement new features, ranging from UX improvements to completely new AI-driven features
As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about keeping building meaningful experiences for our end users
Our tech stack uses Dart/Flutter for our apps, Kotlin for core backend services, Python for our ML work, as well as Rust for low level media streaming
We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider
You’re not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require
Collaborate closely with our Product Manager and Designer to quickly design, build, and launch new features in our app, taking ownership of the whole stack
Elevate user experience by continually refining app reliability, performance, and polish
Rapidly investigate, diagnose, and resolve bugs to ensure product stability
Taking initiative to independently prototype new features based on customer feedback and your own product intuitions
While the mobile app will be your primary focus, we encourage everyone to be comfortable working in all parts of our stack, which includes the backend (Kotlin), internal tooling (Next.js/TypeScript), and ML scripts for evaluation, data processing, and model training (Python)

Our take

Use-cases of machine learning in the previous three decades have gone from the impressive but impractical achievements of beating Chess Grand Masters to being integral to some of the world’s most used commercial applications like Google Search.

Slingshot is taking Large Language Models in a new direction, using its machine-learning tools to train generative AI in deep psychology. The aim is to build machine learning models that can perform modern therapy through Ash, set to be the first AI counselor, driving down the cost of mental healthcare.

Slingshot is attempting to democratize access to mental health care through the increasingly complex capabilities of ML. What started for Slingshot as a general exploration of machine learning has developed into a potentially significant and singular product. Whilst the proof will be in the pudding, Ash still being in development, Slingshot has won investor confidence evidenced by its $6 million seed fundign round in 2022.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Jan 2025

$40m

SERIES A

Aug 2024

$30m

SEED

Total funding: $76.2m

Company benefits

Hybrid environment, highly collaborative, fast-paced culture
Unparalleled growth opportunity - learn faster than you would anywhere else
Have a massive impact on the next generation of ML engineering
Work with a passionate team that cares about creating an AI world that's not winner-takes-all
Learning and development budget
Company offsites and events
Lunch on us when you are in the office

Company HQ

Soho, New York

Leadership

Daniel Reid Cahn

(CEO)

Graduated with a Master's at Imperial with distinction and an award for novel work in Deep Reinforcement Learning. Prior to Slingshot, they were a Machine Learning Engineer at Instabase filing two patents that redirected the strategy of the company at large.

Neil Parikh

(Co-founder)

Neil is co-founder of Casper, the global sleep company which he helped grow to over $500million in revenue and IPO'd in 2020.

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