Cloud-based ML Architect
6 days ago
About Us: Wendy by The Story Company is a pioneering force in combining technology and literature to create immersive experiences for young readers. With a background in developing technology companies and a rich literary heritage, we're driven by our passion to make a difference in the lives of children.
Job Description:
As a Machine Learning Engineer at Wendy by The Story Company, you'll play a critical role in developing and scaling advanced machine learning applications. You'll leverage your expertise in MLOps, large language models, and image diffusion models to shape our products and influence our company's direction.
Your Key Responsibilities:
- Develop and fine-tune machine learning models, focusing on large language models (LLMs) and image diffusion models.
- Implement MLOps best practices to ensure efficient model training, deployment, and scaling.
- Collaborate with cross-functional teams to integrate ML models into new projects, enhancing interactivity in our storytelling apps.
- Contribute to the architecture and refinement of AI-driven engines for innovative storytelling.
- Play a pivotal role in shaping our tech strategy, pushing the boundaries of what's possible in ML-driven children's entertainment.
Why Join Us:
- A competitive estimated annual salary range $150,000 - $200,000, plus equity, based on location (Chicago, IL) and industry standards.
- The opportunity to work with a talented team of storytellers, engineers, and designers on a mission to revolutionize children's stories.
- Professional growth and development opportunities.
Requirements:
- 5+ years of experience in machine learning, with a focus on applied ML, MLOps, and model fine-tuning.
- Proficient in PyTorch and other relevant ML frameworks.
- Proven track record in training, tuning, deploying, and scaling LLMs and image diffusion models.
- Strong skills in building and maintaining robust ML systems.
- Excellent problem-solving abilities and a knack for seeing projects through from conception to production.
- Startup experience, particularly in leadership roles, including technical guidance and team expansion.
- Experience with Stable Diffusion, creating LoRAs, integrating ControlNets.
Preferred Skills: Familiarity with our tech stack: Python, Kubernetes, Postgres, Kafka, Terraform, and Swift (iOS).
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