78 applicants
Allen Institute for AI (AI2) ยท 3 days ago
Sr. ML Engineer
Seattle, WA
Full-time
Onsite
Senior Level
5+ years exp
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Responsibilities
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
Qualification
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Required
Minimum of 5 years of hands-on experience in developing and deploying machine learning models in production environments
Proven track record of successfully delivering machine learning projects from ideation to production
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
Preferred
Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field
Benefits
Early employee impact
Early stage equity
Access to unique learning opportunities
Flexible location and hours
Company
Allen Institute for AI (AI2)
Our mission is to contribute to humanity through high-impact AI research and engineering.
51-200 employees
H1B Sponsorship
Allen Institute for AI (AI2) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (13)
2022 (9)
2021 (11)
Funding
Current Stage
Growth StageLeadership Team
Oren Etzioni
Chief Executive Officer
Chris Emura
Executive Director, Head of Applied Science and Technology
Company data provided by crunchbase
