Staff Machine Learning Engineer- Generative AI

Experience:

Location:

Staff Machine Learning Engineer

Responsibilities:

• Lead with vision

  Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.

• Drive strategy

  Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across e-commerce marketplace.

• Build cutting-edge models

  Develop and deploy large language and generative models for multimodal document processing and structured data extraction.

• Innovate across modalities

  Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.

• Engineer at scale

  Create data pipelines and training workflows that can handle massive, complex datasets.

• Deploy in the cloud

  Use AWS and other platforms to train, optimize, and deploy models into production at scale.

• Collaborate widely

  Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.

• Mentor and grow

  Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.

• Stay ahead

  Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications:

• Bachelor's degree required; advanced degree Masters in Computer Science, Machine Learning, AI, or related field is a big plus.
• 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
• Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
• Hands-on experience with multimodal data (text, images, 3D).
• Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
• Solid grounding in probability, statistics, and optimization for generative modeling.
• Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
• Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
• A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.

Background in manufacturing, supply chain, or related industries is a plus but curiosity and drive matter more.