You Get:

• Design and implement machine learning models to build personalized features and enhancements in partnership with appropriate stakeholders.
• Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready.
• Collaborate with multidisciplinary teams to understand project requirements and objectives.
• Contribute to projects that require cutting-edge technology and innovative approaches
• Coach and mentor other engineers to allow for a robust and reliable Machine Learning and AI development process.

You Give:

• Passionate about building high-performance and cost-efficient solutions using the latest container, cloud, and serverless technologies.
• Feel a sense of accomplishment when identifying bottlenecks and improving software efficiency.
• Obsessed with quality and user experience – attention to detail and the ability to think abstractly.
• A thought leader who challenges conventional thinking throughout the business to understand and identify pain points and improve the status quo through data-driven solutions.
• Looking for opportunities to gain a wide breadth of knowledge across the entire stack and interested in developing more deeply into backend technologies.

Requirements

Must-haves:

• Experience with Natural Language Processing (NLP) and Generative AI technologies
• Strong product sense with a focus on delivering user-facing, data-driven features
• Proficiency in developing and optimizing advanced Retrieval-Augmented Generation (RAG) pipelines
• Excellent programming skills in Python, with a focus on writing clean and modern code
• Proven expertise in building, fine-tuning, and deploying Large Language Models (LLMs)

Nice-to-haves:

• Familiarity with knowledge graph technologies for enhancing LLM capabilities
• Experience in designing and implementing APIs
• Familiarity with LLamaIndex/LangChain frameworks
• Ability to read Ruby and Ruby on Rails codebases
• Knowledge of cloud-based tools and services for building and deploying generative AI applications, preferably ones hosted by AWS
• Familiarity with MLOps practices and continuous integration/deployment for ML models

Additional information

Benefits:

• The annual salary for this position is $160,000 to $225,000 + equity and benefits. The starting pay for the successful applicant will depend on various job-related factors, which may include skills, education, training, experience, or location.
• Fast-paced and collaborative remote environment where you will regularly engage with our senior leadership
• Competitive compensation
• 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 (remote workstation)