Principal ML Engineer
Confirmed live in the last 24 hours

501-1,000 employees

Quality management system for life sciences operations
Company Overview
MasterControl is a leading company in the life sciences industry, providing a quality management system that is recognized and utilized by major organizations such as the FDA, CDC, and ORA. Their digital manufacturing solution has proven to significantly increase efficiency, with customers experiencing 80% faster post-production review times, 21% fewer deviations, and 100% right-first-time results. The company's culture promotes ease and confidence in their work, as evidenced by their commitment to driving quality and compliance in highly regulated operations.

Company Stage

Series A

Total Funding





Cottonwood Heights, Utah

Growth & Insights

6 month growth


1 year growth


2 year growth

Remote in USA
Experience Level
Desired Skills
Data Analysis
AI & Machine Learning
  • Excellent understanding of AI/ML (incl. generative AI)
  • Hands-on experience developing and deploying machine learning models (incl. deep-learning-based transformers and their pre-training and fine-tuning, LLMs) in production at scale, including pre-training large language models with new tasks and instructions
  • Experience developing datasets for various training incl. pre-training, fine-tuning, and instruction-training
  • Excellent engineering competence: experience designing complex software and making them usable in production
  • Experience navigating the full MLOps technical stack, with a focus on architecture development and model evaluation and usage
  • Experience bringing state-of-the-art approaches to the real world
  • Experience with large scale data processing
  • Demonstrated success in technical leadership and in managing teams of machine learning engineers
  • 7+ years of industry experience developing, deploying large-scale ML-driven products
  • 3+ years experience leading cross-team engineering efforts
  • Masters or PhD in Comp Sci or related fields
  • Understanding of an object-oriented programming language (Python, Java)
  • Lead projects including development and deployment of SOTA ML models (incl. LLMs) in production at scale
  • Fine tune existing open source models in multimodal space (text, images, time series)
  • Pre-train large language models with new tasks and instructions in multimodal space
  • Search/research/prepare instructional datasets for pre-training
  • Equip large language models with the ability of calling external tools
  • Align large language models based on feedback obtained during their deployment
  • Design ad-hoc annotation processes
  • Work closely with product management and other engineering team (e.g., MLOps, CloudOps, Data Engineering)
  • Continuously monitor and improve ML-based application quality
  • Mentor engineers to up level ML talent across the team
  • Help to define and drive forward-looking ML strategy for the team and the company
  • Understand, implement, and improve upon the latest research in ML and Generative AI
Desired Qualifications
  • Experience with front-end development ML application prototyping and use of complex HPC infrastructure with full autonomy
  • Experience in closely collaborating with other engineering teams to deploy ML-based applications
  • Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences
  • Experience collaborating with external scientific partners, such as academic institutions or industry research groups
  • A passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning