AI Researcher
1 week ago
We're a team at Slingshot AI dedicated to training task-specific generative models for psychology. Our goal is to build an AI therapist that helps people change their minds and lives in meaningful ways.
Our Mission
We partner with organizations worldwide, powering use cases such as AI-assisted crisis text response. We secure best-in-class datasets to fuel our models and drive positive impact.
What Success Means to Us
Every human being in need of support having access to resources and support is our vision for success. As a well-funded startup backed by top-tier tech investors, we offer competitive compensation of approximately $250,000 annually.
The Role
You'll work closely with our founding team on ML research and product development. To thrive in this role, you must care deeply about how these models benefit people in real-world applications. Your expertise in deep learning models, fine-tuning language models like Llama, and software engineering experience on a product will be invaluable assets to our team.
Key Responsibilities
You'll focus on data collection and curation, model pre-training and ablation studies, evaluation and preference optimization, hand-crafted data creation, and reinforcement learning research. You'll also contribute to our end-user product and model orchestration, working with the latest language models from open-source 70B & 405B to frontier models through deep partnerships with leading AI labs.
Technical Requirements
Familiarity with PyTorch, Kotlin, and modern tooling in the ML space is essential. Your experience in developing deep learning models in PyTorch, TensorFlow, or JAX, with 3+ years in a production environment, will be highly valued.
About You
We welcome highly autonomous and intelligent individuals who may not fit traditional molds. If you're ready to learn quickly and contribute to cutting-edge AI research, we encourage your application.
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.
What We Offer
A hybrid environment with a collaborative, fast-paced culture, opportunity to work with a passionate team focused on mental health impact, and a competitive compensation package of approximately $250,000 annually.
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