You haven't searched anything yet.
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
MasterControl is looking for a Principal Machine Learning Engineer to join our Machine Learning team to help build systems that accelerate the development and deployment of machine learning models, especially large language models (LLMs). The ideal candidate is someone who has strong ML fundamentals and can also apply them in real production settings. You will partner closely with ML, application, and data engineers to understand requirements and apply your own domain expertise to build high performance and reusable ML/LLM APIs. The role has a core focus on optimizing inference and fine tuning of LLMs. You should also be comfortable with infrastructure and large-scale system design, as well as diagnosing both model performance and system failures.
Qualifications
2 years of experience building machine learning training pipelines or inference services in a production setting
Experience with LLM deployment, fine tuning, training, prompt engineering
Experience with LLM inference latency optimization techniques, e.g. kernel fusion, quantization, dynamic batching, etc
Experience with CUDA, model compilers, and other model-specific optimizations
Experience working with a cloud technology stack (Azure, AWS or GCP)
Experience with Python, Docker, Kubernetes, and Infrastructure as code (e.g. terraform)
Responsibilities
Build high performance, observable, reusable and cost-effective ML/LLM APIs
Optimize inference latency by quantizing or low ranking LLMs at fine-tuning
Design and be part of larger platform infrastructure design
Diagnose both model performance and system failures
Engage with ML researchers and stay up to date on the latest trends from industry and academia
Participate in teams on call process to ensure the availability of our services
Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.
Full Time
Software & Cloud Computing
$136k-170k (estimate)
06/19/2024
07/17/2024
mastercontrol.com
SALT LAKE CITY, UT
100 - 200
1993
RICHARD BECKSTRAND
$50M - $200M
Software & Cloud Computing
In short, we help bring life-changing innovations to more people, sooner. How we do it is a longer story. It starts with our cloud-based Product Lifecycle Excellence platform. More than 1000 of the worlds most innovative and highly regulated companies use it to improve quality and stay in compliance at every step of their product journey from concept to commercialization. We have more than 500 employees who come to work every single day with a singular focus: to help our customers improve quality. We do it in many ways. And we can do it for you. Well help you build quality into your product d...esign processes. Youll get a streamlined system to track clinical trials, organize the data, and submit results for approval by regulatory agencies around the world. You can digitize, automate and accelerate quality processes to build a culture of quality throughout your organization. Increase visibility and ensure compliance throughout your supply chain. And help your manufacturing teams eliminate the tradeoffs between line performance and product quality. Once your product is out in the market we give you the ability to manage in-market complaints and close the quality loop. In other words, we help you make quality a priority throughout your company. And thats important. Because when youre trying to impact peoples lives, quality changes everything.
More
Show less
The job skills required for Principal Machine Learning Engineer include Machine Learning, Python, AWS, Docker, Inference, etc. Having related job skills and expertise will give you an advantage when applying to be a Principal Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Principal Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Principal Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Principal Machine Learning Engineer, it can be promoted into senior positions as a Lead AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Principal Machine Learning Engineer. You can explore the career advancement for a Principal Machine Learning Engineer below and select your interested title to get hiring information.