Machine Learning Scientist

4 days ago


London, Greater London, United Kingdom Slingshot AI Full time
About Our Work
We're building an AI-powered platform that harnesses the potential of machine learning to improve mental health outcomes. Our mission is to provide accessible, high-quality support to those in need, leveraging the power of AI to drive positive change.

Our Approach
We partner with organizations worldwide to develop innovative solutions that address complex mental health challenges. By combining cutting-edge AI research with a deep understanding of human behavior, we create effective interventions that make a real difference in people's lives. With a strong focus on data-driven decision-making, we continuously evaluate and refine our approaches to ensure maximum impact.

The Role
You'll join our team as a Member of Technical Staff, contributing to the development of our AI-powered platform. Your expertise in deep learning models, fine-tuning language models like Llama, and software engineering experience on a product will be instrumental in driving our mission forward. You'll collaborate closely with our founding team to design, develop, and deploy AI-powered interventions that transform lives.

Key Responsibilities
You'll lead the development of new AI-powered features, ensuring they are effective, efficient, and scalable. You'll work closely with our cross-functional teams to integrate AI-powered components into our platform, leveraging your knowledge of PyTorch, Kotlin, and modern tooling in the ML space. Additionally, you'll contribute to the ongoing evaluation and refinement of our AI-powered interventions, using data-driven insights to inform your decisions.

Requirements
5+ years developing deep learning models in PyTorch, TensorFlow, or JAX, with 3+ years in a production environment, experience fine-tuning language models like Llama, and software engineering experience on a product including React, Swift, Kotlin, Java, etc. Familiarity with Agile development methodologies and experience working in a fast-paced, collaborative environment are highly valued.

What We Offer
A competitive compensation package of approximately $250,000 annually, a hybrid environment with a collaborative, fast-paced culture, and the opportunity to work with a passionate team focused on mental health impact.

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