Member of Technical Staff at Slingshot AI

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Mental HealthIndustries

Requirements

5+ years developing deep learning models in PyTorch, TensorFlow or JAX, including 3+ years in a production environment
Experience fine-tuning language models, like Llama
Experience with software engineering on a product, e.g., React, Swift, Kotlin, Java, etc., including a strong understanding of modern software architectures
Highly autonomous and intelligent individuals who may not fit our exact mold

Responsibilities

Work with the founding team across ML research and product development
Contribute to data collection, curation, and continued pre-training
Conduct ablation studies, evaluations, and contribute to state-of-the-art reinforcement learning research
Contribute to the creation of hand-crafted data
Work on preference optimization techniques
Contribute to improving user experience through work on models and model orchestration
Read papers and identify state-of-the-art techniques
Contribute to core ML research, aligning language models towards successful long-term trajectories
Write high-quality, typed, Zen code

Skills

PyTorch

TensorFlow

JAX

Llama

fine-tuning

React

Swift

Kotlin

Java

reinforcement learning

preference optimization

data curation

model orchestration

ablation studies

Slingshot AI

AI-driven tools for mental healthcare access

About Slingshot AI

Slingshot AI focuses on improving access to mental healthcare through advanced technology. The company develops AI-driven tools that help individuals enhance their mental well-being and performance. These tools are designed to foster connectivity and adapt to future challenges in mental health. Slingshot collaborates with mental health providers to create comprehensive support solutions for users seeking mental health assistance. Unlike many competitors, Slingshot emphasizes partnerships with healthcare professionals and institutions, which allows them to tailor their offerings to meet specific needs in the mental health sector. The goal of Slingshot is to increase global access to mental health resources and improve patient outcomes through innovative technology.

New York City, New YorkHeadquarters

2022Year Founded

$35.2MTotal Funding

SEEDCompany Stage

AI & Machine Learning, HealthcareIndustries

11-50Employees

Benefits

Hybrid Work Options

Risks

Competition from AI-driven mental health startups like Woebot Health is increasing.

Ethical and privacy concerns may affect the adoption of AI in mental health.

Regulatory challenges in AI healthcare could impact Slingshot AI's operations in London.

Differentiation

Slingshot AI focuses on increasing global access to mental healthcare using AI.

The company develops personalized AI-driven mental health tools for individualized care.

Slingshot AI collaborates with mental health providers to enhance service delivery.

Upsides

Increased adoption of digital mental health tools boosts Slingshot AI's market potential.

AI integration in mental health offers personalized therapy solutions, benefiting Slingshot AI.

The mental health app market is projected to grow significantly, favoring Slingshot AI.

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