What are the responsibilities and job description for the Senior Machine Learning Engineer position at MasterControl?
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 Senior Machine Learning Engineer to join our Machine Learning team to develop, deploy, and implement the use of machine learning models, especially large language models (LLMs). The ideal candidate is someone who has strong ML fundamentals as well as software engineering skills and can apply them in real production settings. They will partner closely with a cross functional team of ML, application, and data engineers to understand requirements and apply your own domain expertise to build high performance and reusable ML/LLM APIs. The candidate 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
3 years of experience developing with object-oriented languages and frameworks in a production setting
Experience with data manipulation tools/libraries such as SQL, Spark, Pandas, Numpy, etc
Experience with Git/Github
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 working with a cloud technology stack (Azure, AWS or GCP--preferably AWS)
Strong knowledge of REST APIs, microservices, and data structures
Experience with Docker
Experience with Python
Experience with Kubernetes and/or Infrastructure as code (e.g. terraform) is a plus
Experience with Java/Spring/Spring Boot is a plus
Strong critical thinking, problem-solving, and communication abilities
Strong sense of responsibility and drive to create exceptional applications
Positive attitude with a penchant for collaboration and respect
Responsibilities
Manage the entire ML model lifecycle: train/fine-tune, optimize, deploy, and monitor ML models
Build high performance, observable, reusable, and cost-effective API services
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 your team, provide code reviews, encourage best practices, and consistently raise others up
Resolve product issues in conjunction with technical support
Engage with ML researchers and stay up to date on the latest trends from industry and academia
Participate in team's on-call process to ensure the availability of our services
Own projects end-to-end from requirements, scoping, and design to implementation
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:
The US base salary range for this full-time position is $150,000-$200,000 equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
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 MCTalent@MasterControl.com or call (801) 942-4000 and ask to speak with a member of Human Resources.
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 Senior Machine Learning Engineer to join our Machine Learning team to develop, deploy, and implement the use of machine learning models, especially large language models (LLMs). The ideal candidate is someone who has strong ML fundamentals as well as software engineering skills and can apply them in real production settings. They will partner closely with a cross functional team of ML, application, and data engineers to understand requirements and apply your own domain expertise to build high performance and reusable ML/LLM APIs. The candidate 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
3 years of experience developing with object-oriented languages and frameworks in a production setting
Experience with data manipulation tools/libraries such as SQL, Spark, Pandas, Numpy, etc
Experience with Git/Github
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 working with a cloud technology stack (Azure, AWS or GCP--preferably AWS)
Strong knowledge of REST APIs, microservices, and data structures
Experience with Docker
Experience with Python
Experience with Kubernetes and/or Infrastructure as code (e.g. terraform) is a plus
Experience with Java/Spring/Spring Boot is a plus
Strong critical thinking, problem-solving, and communication abilities
Strong sense of responsibility and drive to create exceptional applications
Positive attitude with a penchant for collaboration and respect
Responsibilities
Manage the entire ML model lifecycle: train/fine-tune, optimize, deploy, and monitor ML models
Build high performance, observable, reusable, and cost-effective API services
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 your team, provide code reviews, encourage best practices, and consistently raise others up
Resolve product issues in conjunction with technical support
Engage with ML researchers and stay up to date on the latest trends from industry and academia
Participate in team's on-call process to ensure the availability of our services
Own projects end-to-end from requirements, scoping, and design to implementation
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!
The US base salary range for this full-time position is $150,000-$200,000 equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
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 MCTalent@MasterControl.com or call (801) 942-4000 and ask to speak with a member of Human Resources.
