Sr. ML Engineer at Stealth AI Startup

Posted on 4/19/2024

a portfolio company of the AI2 Incubator

a portfolio company of the AI2 Incubator

11-50 employees

Incubates AI startups, focuses on foundational models

AI & Machine Learning


Seattle, WA, USA

Required Skills
Microsoft Azure
Natural Language Processing (NLP)
Google Cloud Platform
  • Minimum of 5 years of hands-on experience in developing and deploying machine learning models in production environments
  • Experience with multi-modal learning, combining text, images, and other data types
  • Familiarity with data privacy and security best practices in the context of machine learning
  • Strong expertise in LLMs, NLP, fine-tuning, document extraction, and inference
  • Proficiency in programming languages such as Python, PyTorch, TensorFlow, and scikit-learn
  • Experience with Transformer-based architectures (e.g., BERT, GPT, T5) and their applications
  • Solid understanding of deep learning concepts, including attention mechanisms, sequence-to-sequence models, and transfer learning
  • Familiarity with NLP techniques such as named entity recognition, sentiment analysis, and text classification
  • Knowledge of document extraction techniques, such as OCR, layout analysis, and information extraction
  • Experience with deploying machine learning models using cloud platforms (e.g., AWS, GCP, Azure)
  • Excellent problem-solving skills and the ability to think creatively to develop innovative solutions
  • Strong communication and collaboration skills, with the ability to work effectively in a fast-paced startup environment
  • Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field preferred
  • Collaborate closely with the CTO and the founding team to define the company's technological vision and strategy
  • Impact early-stage technical decisions that will shape the platform & its infrastructure
  • Design, develop, and deploy machine learning models, particularly in the areas of LLMs, NLP, and document extraction
  • Fine-tune pre-trained language models for specific tasks and domains
  • Optimize models for inference and deploy them in production environments
  • Collaborate with cross-functional teams to identify and solve complex problems using machine learning techniques
  • Conduct research to stay up-to-date with the latest advancements in LLMs, NLP, and related fields
  • Implement best practices for data preprocessing, feature engineering, and model evaluation
  • Contribute to the development of scalable and efficient machine learning pipelines

a portfolio company of the AI2 Incubator

a portfolio company of the AI2 Incubator


AI2 Incubator specializes in incubating AI-first startups, focusing on leveraging large-scale foundation models like GPT-3 and DALL-E for diverse tasks such as email prose generation and software code creation. This provides a fertile environment for innovation and a strong focus on advanced AI technologies, making it an ideal workplace for those looking to be at the forefront of AI advancement and application. Employees benefit from working on cutting-edge projects in an entity that is shaping the future of Task-Centric AI, FMOps, Domain-Specific FMs, and Generative/Creative AI domains.

Company Stage


Total Funding



Seattle, Washington



Growth & Insights

6 month growth


1 year growth


2 year growth