Principal Machine Learning Engineer

Responsibilities

• Builds/ Optimizes machine learning models.
• Researches, analyzes, and documents findings.
• Assists in delivering production grade machine learning services that power the ConnectWise platform and products.
• Designs and maintains machine learning infrastructure.
• Informs, influences, supports, and executes on product decisions and product launches.
• Works with cross-functional teams to ensure that proper data pipelines are established to ensure availability of high-quality data.
• Knowledge, Skills, and/or Abilities Required
• Ability to work independently on projects and processes with close supervision.
• Broad theoretical knowledge of ML/ AI space and application development using generative AI including supervised fine-tuning, preference optimization (DPO), and reinforcement fine-tuning (RFT) of LLMs; parameter-efficient fine-tuning (LoRA/QLoRA); fine-tuning encoder models such as BERT/ModernBERT for text…
• Strong grasp of model evaluation methodology (task-specific eval sets, LLM-as-judge, offline metrics, and online A/B testing) and experience building training-data, synthetic-data, and distillation pipelines for post-training.

Languages