Description:

Design and implement machine learning models to create personalized features and enhancements in collaboration with stakeholders.
Develop scalable data pipelines, optimize models for performance and accuracy, and ensure they are ready for production.
Work with cross-functional teams to comprehend project requirements and goals.
Contribute to projects requiring cutting-edge technology and innovative approaches.
Mentor and guide other engineers to establish a robust Machine Learning and AI development process.

Requirements:

Proficient in Natural Language Processing (NLP) and Generative AI technologies.
Strong product sense with a focus on delivering user-facing, data-driven features.
Skilled in developing and optimizing advanced Retrieval-Augmented Generation (RAG) pipelines.
Excellent programming abilities in Python, emphasizing clean and modern code.
Expertise in building, fine-tuning, and deploying Large Language Models (LLMs).
Familiarity with knowledge graph technologies for enhancing LLM capabilities.
Experience in designing and implementing APIs.
Knowledge of cloud-based tools and services for generative AI applications.
Understanding of MLOps practices and continuous integration/deployment for ML models.

Annual salary ranging from $160,000 to $225,000 + equity and benefits.
Fast-paced and collaborative remote work environment with regular engagement with senior leadership.
Competitive compensation package.
Health (medical, dental & vision), Transit, Flex Spending & 401(k) benefits.
Meaningful Equity.
Flexible PTO policy.
Generous paid holidays/company off days per year.
New Hire Stipend for remote workstation.