Senior Machine Learning Engineer

at  Genentech

San Francisco, California, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate16 Aug, 2024USD 349400 Annual17 May, 20242 year(s) or aboveComputer Science,Datasets,Communication SkillsNoNo
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Description:

THE POSITION

The Senior Machine Learning Engineer sits on the Data Science Team within our Strategic Analytics & Intelligence Organization (SAI) and exists to help the CMG (Commercial, Medical and Government) organization achieve its vision by unlocking value from data quicker and more effectively. As a center of excellence, the Commercial Data Science team leverages advanced data science capabilities, working across CMG to develop strategic and holistic solutions by identifying and leading innovative analytic projects & pilots to enable patient and customer solutions.
The Opportunity

The Senior Machine Learning Engineer will bring a robust understanding of machine learning operations (MLOps) to manage and contribute to our machine learning initiatives.

  • The Senior Machine Learning Engineer will design, enhance, scale, and maintain machine learning solutions from conception to deployment in a production environment.
  • You will collaborate with data scientists, software engineers, and business stakeholders to translate business requirements into scalable ML systems.
  • You will also architect and uphold MLOps pipelines using job scheduling frameworks to streamline data preparation, training, deployment, and machine learning model lifecycles.
  • In addition to ensuring best practices in code quality, version control, and CI/CD for machine learning pipelines, you will also design and implement robust monitoring systems for deployed models to track performance, data drift, and anomalies.
  • The MLOps Engineer will also pioneer and administer model retraining, A/B testing, and progressive deployment strategies for continuous model enhancement.
  • You will contribute to the company’s machine learning architecture to support scalable and repeatable model training and deployment.
  • Facilitate the creation of automated processes for model validation and testing.
  • Position is located in South San Francisco and relocation benefits are not available.

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:2.0Max:7.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Computer Science

Proficient

1

San Francisco, CA, USA