Machine Learning Engineer, Pytorch Offline

About Cuebric: https://cuebric.com/

We're a paradigm-shifting AI SaaS company, an Industry-Grade AI Creative tool for concepting and background production. Cuebric streamlines the process of dimensionalizing images allowing users to go from Concept To Camera™ in minutes.
 

Cuebric is born inside a Virtual Production stage. In 2023, it was adopted by several film studios in their endeavor to streamline 2.5D and 2.75D background creations.

Location: Remote Anywhere
 

Key Responsibilities:

• Develop Cutting-Edge AI Models: Design, train, and deploy state-of-the-art machine learning models tailored for Cuebric’s filmmaking applications, particularly in generative AI and computer vision.
• Develop Intelligent AI Agents: Build and refine agentic AI workflows that interact dynamically with creators, guiding them through storytelling and creative processes.
• Enhance Multi-Agent Collaboration: Implement multi-agent architectures where AI models collaborate in tasks like image generation, refinement, and contextual storytelling.
• Optimize and Scale: Develop scalable data pipelines, optimize models for real-time performance, and ensure deployment readiness for production environments.
• Conversational AI Integration: Implement context-aware AI assistants that respond dynamically to user input, enhancing storytelling guidance.
• Collaborate Across Teams: Work closely with engineers, artists, and product managers to seamlessly integrate AI-powered features into Cuebric’s platform.
• Deploy ML Models at Scale: Develop robust pipelines for model deployment, monitoring, and optimization in cloud-based environments.
• Validate and Iterate: Conduct A/B tests, performance benchmarks, and rigorous validation against key filmmaking and creative industry metrics.

Qualifications:

• Technical Expertise: Strong programming skills in Python, with deep experience in PyTorch and modern ML frameworks.
• Machine Learning Experience: At least 3 years of hands-on experience in ML, deep learning, or computer vision.
• Academic Foundation: Strong theoretical knowledge in machine learning, computer vision, generative AI, or related fields.
• Cloud & Production Deployment: Familiarity with AWS, Docker, Kubernetes, and deploying ML models in cloud environments.
• Data Handling & Pipelines: Experience with Atlas MongoDB or similar database technologies.
• Software Development Best Practices: Experience with CI/CD pipelines, version control (Git), and scalable ML architectures.
• Communication & Collaboration: Ability to work cross-functionally and effectively communicate complex ML concepts to non-technical stakeholders.
   

Preferred Skills:

• Generative AI & Diffusion Models: Hands-on experience with Hugging Face libraries (diffusers, transformers).
• Performance & Optimization: Experience with PyTriton, TensorRT, and GPU-accelerated inference.
• Experience with Agent-Based AI Architectures: Knowledge of multi-agent reinforcement learning or LLM-driven AI agents.
• Conversational & Interactive AI: Hands-on experience with Semantic Kernel, LangChain, or similar frameworks.
• Advanced AI Deployment: Knowledge of gRPC protocols, streaming data processing, and scalable ML inference.
• Full-Stack Integration: Experience with WebAssembly, Angular, NestJS, and Rust for web applications.
• Infrastructure & DevOps: Familiarity with Terraform, Nvidia Cloud Functions, and containerized AI workflows.
• Filmmaking & Visual Storytelling: Passion for media, virtual production, and how AI can enhance creative processes.
   

Why Join Cuebric?

• Shape the Future of AI in Filmmaking: Define the next generation of AI-powered storytelling experiences.
• Innovate with AI Agents: Build and refine agentic AI workflows that empower creators and redefine interactivity.
• Collaborate with Industry Leaders: Work alongside top ML engineers, designers, and product visionaries.
• Growth & Impact: Competitive salary, career advancement, and the opportunity to work on cutting-edge AI-driven solutions in a fast-growing startup.