Xometry is seeking to enhance its service offerings by developing and optimizing innovative AI-driven solutions using generative models and data science.
Requirements
- Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
- Experience with multimodal data processing (e.g., combining text, image, and 3D data)
- Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
- Strong background in probability, statistics, and optimization techniques relevant to generative modeling
- Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
- Familiar with software engineering principles, including version control, reproducibility, and continuous integration
- Experience with generative models, LLMs, or computer vision
Responsibilities
- Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing
- Lead the exploration and development of innovative text and image-based data processing solutions
- Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
- Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
- Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency
- Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies
- Stay updated with the latest research in generative AI, deep learning, and multimodal data processing
Other
- Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
- Lead strategic planning and roadmap development for generative AI initiatives
- Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
- A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
- 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
- Experience in the manufacturing, supply chain, or similar industries is a plus
