Compensation: Annual Salary Range $130,000—$170,000, plus equity
Location: Chicago, IL | Flexibility with Hybrid / Remote Options
Experience: 5+ Years
About Wendy: Welcome to Wendy, where imagination meets innovation! We are a dynamic team of storytellers, engineers, and designers, on a mission to revolutionize the creation of children's stories through the power of tech. With a background in developing technology companies and a rich literary heritage, we are driven by our passion to make a difference in the lives of young readers.Drawing inspiration from our founder's family history in children's book writing and publishing, we have always had a deep appreciation for the magic of storytelling. It is this passion and heritage that have guided us on this incredible journey. With our past expertise building tech companies, we recognized the immense potential of new technology and creative tools transforming the publishing industry. We are dedicated to leveraging evolving creative tools to enhance the reading experience, making it more interactive, immersive, and engaging for young readers.
About the Role:
As a key member of our foundational engineering team, you will be instrumental in developing and scaling Wendy's advanced machine learning applications. Your expertise in MLOps, large language models, and image diffusion models will be vital in shaping our products and influencing our company's direction.
In this role, you will:
Develop and fine-tune machine learning models, specializing in large language models (LLMs) and image diffusion models
Implement MLOps practices to ensure efficient model training, deployment, and scaling
Collaborate with cross-functional teams to integrate ML models into new projects, enhancing the interactivity of our storytelling apps
Contribute to the architecture and refinement of AI-driven engines for innovative storytelling
Play a pivotal role in the tech strategy, pushing the boundaries of what's possible in ML-driven children's entertainment
Influence the product vision and engineering ethos from the early stages
Your background looks something like:
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
Our tech stack is Python, Kubernetes, Postgres, Kafka, Terraform, and Swift (iOS). Proficiency in these is ideal, but your ability to adapt and learn is what truly matters to us.
Reach out to the team at ****** to apply.
Applicants must be legally authorized to work at any U.S. employer. We are unable to sponsor visas at this time.
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