Senior Deep Learning Engineer
3 weeks ago
About the Role
We're a team of passionate machine learning engineers at Slingshot AI, dedicated to training task-specific generative models for psychology. Our mission is to build an AI therapist that helps people change their minds and lives in meaningful ways. We partner with organizations worldwide to power use cases, including AI-assisted crisis text response, while securing best-in-class datasets to fuel our models.
Our goal is to make a positive impact on mental health, especially in a post-AGI world. We're a well-funded, seed-stage startup backed by top-tier tech investors involved in Huggingface, ElevenLabs, Replit, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and others.
Key Responsibilities
As a Senior Deep Learning Engineer, you'll work with our founding team across ML research and product development. You may work on data collection, curation, continued pre-training, ablation studies, evals, creation of hand-crafted supervised fine-tuning data, preference optimization, and state-of-the-art reinforcement learning research. You'll also contribute to our end-user product, improving user experience through your work on our models and model orchestration.
You'll be primarily working with 70B parameter models as well as fine-tuning GPT-4o, through our partnership with OpenAI. You will be responsible for reading papers and identifying state-of-the-art techniques for us to learn from. Our application backend is written in Kotlin, and our ML stack (PyTorch) utilizes modern tooling in the ML space, including some that we've developed in-house. We write high-quality, typed, Zen code.
About You
We're looking for highly autonomous and intelligent individuals who may not fit our exact mould. If you have 5+ years of experience developing deep learning models in PyTorch, TensorFlow, or JAX, including 3+ years in a production environment, we'd love to hear from you. You should also have experience fine-tuning language models, like Llama, and experience with software engineering on a product, e.g., React, Swift, Kotlin, Java, etc., including a strong understanding of modern software architectures.
What We Offer
We offer competitive compensation (90th percentile), a hybrid environment, and a highly collaborative, fast-paced culture. You'll work with a passionate team that cares deeply about the impact of our work on mental health. We dream big and iterate fast, and we'd love to have you join us on this journey.
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