About MasterControl:
MasterControl Inc. is a leading provider of cloud-based quality and compliance software for life sciences and other regulated industries. Our mission is the same as that of our customers to bring life-changing products to more people sooner. The MasterControl Platform helps organizations digitize, automate and connect quality and compliance processes across the regulated product development life cycle. Over 1,000 companies worldwide rely on MasterControl solutions to achieve new levels of operational excellence across product development, clinical trials, regulatory affairs, quality management, supply chain, manufacturing and postmarket surveillance. For more information, visit www.mastercontrol.com.
Summary
The Principal Machine Learning Engineer is responsible for the technical design, development, implementation, and analysis of the company’s machine learning projects. As a Principal Machine Learning Engineer, you’ll leverage your expertise and knowledge of machine learning to help lay the foundation for current and future machine learning projects as well as develop and deploy machine learning features and applications. You’ll assist with gathering and preparing the right data, identifying innovative ways of using that data, and building machine learning models and applications that bring value to the users and the business. As you do this, you’ll work with people from a variety of roles as well as customers.
Responsibilities:
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.
Experience and Skills:
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)
Desired Skills
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
Why Work Here?
#WhyWorkAnywhereElse?
MasterControl is a place where Exceptional Teams come together to do their best work. In fact, hiring Exceptional Teams is a core value of ours. MasterControl employees are surrounded by intelligent, motivated, and collaborative individuals. We like to call it #TheBestTeamOnThePlanet.
We work hard to develop and challenge our employees’ skillsets, recognize their contributions, encourage professional development, and offer a one-of-a-kind culture. This is why we say #WhyWorkAnywhereElse?
MasterControl could be your next (and last) career move!
Here are some of the benefits MasterControl employees enjoy:
- Competitive compensation
- 100% medical premium coverage (yes, you read that right!)
- 401(k) plan with company match
- Generous PTO packages that increase with tenure
- Schedule flexibility
- Fitness clubs (you get paid to have fun and be active!)
- Company parties and employee recognition programs
- Wellness programs (free Fitbit, gym membership and athletic shoe reimbursements, etc.)
- Onsite physician and massage therapist
- Innovation center and gaming rooms at the office
- Dental/vision plans
- Employer paid life insurance policy
- Much, much more!
Applicants must be currently authorized to work in the United States on a full-time basis.
MasterControl is an Equal Opportunity Employer. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact [email protected] or call (801) 942-4000 and ask to speak with a member of Human Resources.