Xometry · 7 hours ago

Principal Data & ML Scientist - Generative AI

United States

Full-time

Remote

Senior Level

7+ years exp

Maximize your interview chances

3D PrintingArtificial Intelligence (AI)

No H1B

Insider Connection @Xometry

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

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, identifying high-impact projects and aligning them with Xometry’s business objectives.

Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.

Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.

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.

Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.

Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.

Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.

Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Generative AIMachine LearningLarge Language ModelsPythonMultimodal Data ProcessingPyTorchTensorFlowData ScienceProbabilityStatisticsCloud ComputingAWSSoftware Engineering PrinciplesManufacturing Experience

Required

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.

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.