Senior Machine Learning Engineer

Senior Machine Learning Engineer

Requirements

• 4-5 years of experience in applied machine learning or related field
• Strong proficiency in Python and its ML/data science libraries
• Extensive experience with NLP techniques and generative AI technologies
• Experience with LLMs and both text-to-text and text-to-image generative models
• Proficiency in working with large datasets and creating ETL processes
• Experience with version control systems (e.g., Git) and CI/CD practices
• Ability to work in a fast-paced, changing startup environment

Responsibilities

• Collaborate with stakeholders to identify and map business problems to ML solutions
• Design, develop, and implement ML models with a focus on NLP and generative AI applications
• Curate, clean, and prepare data for model development and training
• Create and maintain ETL jobs for data processing
• Conduct rapid prototyping of ML solutions to quickly iterate on ideas
• Stay current with the latest advancements in ML, particularly in NLP and generative AI
• Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture
• Implement data flywheels to continuously improve ML features through increased usage
• Define and implement ML performance metrics
• Contribute to the product roadmap with ML-driven feature ideas
• Be an essential technical contributor at a Series B-stage company as it scales

Preferred Qualifications

• Experience with rapid prototyping of ML solutions
• Familiarity with model deployment processes
• Knowledge of ML ops and experience building automated ML pipelines
• Experience with A/B testing and statistical analysis
• Modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWS
• Background in or exposure to the audit and advisory industry
• Experience presenting technical concepts to non-technical stakeholders
• Experience mentoring or leading small teams