8 days old

Senior Machine Learning Engineer

Amgen
Thousand Oaks, CA 91360
  • Job Code
    117016581
Amgen

Job ID: R-91385
Location: Thousand Oaks, CA, US 91360

The DH&I Data Science & Engineering (DS&E) team at Amgen is seeking an experienced Senior Machine Learning Engineer (MLE) to advance our mission and help build, deploy and sustain machine learning models that can predict patients' risk for particular diseases, infer medicines that could be most efficacious for patients, along with other solutions that benefit patients. This Senior Machine Learning Engineer will be based out of our Thousand Oaks, CA global headquarters and will report to the Principal Solution Architect within the DS&E Team.

The Senior Machine Learning Engineer (MLE), known internally as the Principal Data Engineer, will architect and engineer the technical and data pipelines for digital products that feature AI/ML algorithms, including how data and models will be scaled, monitored, maintained and effectively managed.

Amgen Digital Health & Innovation (DH&I) aims to position Amgen as the therapeutic leader of choice for patients through the discovery, development, and application of emerging digital solutions. To advance this mission, the DH&I Data Science & Engineering (DS&E) team incubates and applies digital technologies and data science across impactful problems such as predicting patients' risk for a particular disease or using data to determine the most effective treatment for individual patients with grievous illnesses. See our MIT Tech Review and WIRED articles to learn more about our mission and the problems on which we focus.

Responsibilitiesof the Senior Machine Learning Engineer include:
  • Leads efforts with Amgen business leaders to identify, understand, explore, and deliver relevant data analyses to inform data inclusion, exclusion, and sub-setting criteria as well as feature and model selection for DH&I solutions
  • Collaborates with data scientists to analyze and select appropriate data models and algorithms that focus on improving patient outcomes across multiple therapeutic areas leveraging diverse data
  • Leads data engineering to extract and create data features from large data sets for input into models
  • Collaborates with data scientists to define model validation strategies, train and tune models, and analyze and resolve errors in models
  • Leads model deployment to production and defines and develops model monitoring and maintenance processes including metrics to assess accuracy, drift, etc.
  • Leads and develops standards, processes, and best practices for the team across the data science-based solution implementation lifecycle


Basic Qualifications:

Doctorate degree and 2 years of Data Science and/or Machine Learning and/or Artificial Intelligence experience

OR

Master's degree and 6 years of Data Science and/or Machine Learning and/or Artificial Intelligence experience

OR

Bachelor's degree and 8 years of Data Science and/or Machine Learning and/or Artificial Intelligence experience

OR

Associate's degree and 10 years of Data Science and/or Machine Learning and/or Artificial Intelligence experience

OR

High school diploma / GED and 12 years of Data Science and/or Machine Learning and/or Artificial Intelligence experience

Preferred Qualifications:
  • MS or PhD in Computer Science, Business Analytics, Computational Biology, Bioinformatics, Informatics, Epidemiology, Health Economics, Math, Statistics, or similar field and 2+ years of work experience or Bachelor's degree in Computer Science, Business Analytics, Computational Biology, Bioinformatics, Informatics, Epidemiology, Health Economics, Math, Statistics, or similar field with 5+ years of work experience
  • Proven experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role preferably in the healthcare industry
  • Understanding of data structures, data modeling, and software architecture
  • Proven ability to write robust code in Python (open-source contributions or Kaggle kernels are a plus).
  • Strong understanding of linear algebra, probability, statistics, and machine learning algorithms
  • Familiarity with Linux operating system and associated shell commands
  • Strong verbal and written communication skills
  • Proven experience leading and collaborating with diverse business stakeholders to deploy a machine learning model to production on Amazon Web Services (AWS) or similar cloud technology service suite
  • Proficient understanding of distributed compute / data processing technology (e.g. Apache Hadoop, Spark, Hive, Arrow)
  • Hands-on experience using Databricks or Apache Spark (i.e. PySpark, SparkR, or Scala) and understanding best practices
  • Proficiency using and extending ML frameworks and libraries (e.g. TensorFlow, PyTorch, scikit-learn)
  • Experience with AWS SageMaker stack, using version control (i.e. Git), working or integrating with Electronic Health Record (EHR) systems such as EPIC, Cerner, and Allscripts
  • Deep functional knowledge in one or more functional areas (Research, Development, Commercial Operations, Manufacturing) in the healthcare or life science industry
  • Publications or conference presentations on topics in the machine learning arena
  • Entrepreneurial mindset with ability to self-direct
  • Experience teaching and mentoring a team of engineers and willingness to learn new techniques and keep on top of industry trends
  • Experience in managing project scope as well as influencing executive leaders both internally and externally (i.e. through external partners and/or academic leaders)


Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.

Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

Join Us

If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen.

Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PI117016581

<b>Amgen</b><br/><br/><b>Job ID: </b>R-91385<br/><b>Location: </b>Thousand Oaks, CA, US 91360<br/><br/>The DH&I Data Science & Engineering (DS&E) team at Amgen is seeking an experienced Senior Machine Learning Engineer (MLE) to advance our mission and help build, deploy and sustain machine learning models that can predict patients' risk for particular diseases, infer medicines that could be most efficacious for patients, along with other solutions that benefit patients. This Senior Machine Learning Engineer will be based out of our Thousand Oaks, CA global headquarters and will report to the Principal Solution Architect within the DS&E Team.<br><br>The Senior Machine Learning Engineer (MLE), known internally as the Principal Data Engineer, will architect and engineer the technical and data pipelines for digital products that feature AI/ML algorithms, including how data and models will be scaled, monitored, maintained and effectively managed.<br><br>Amgen Digital Health & Innovation (DH&I) aims to position Amgen as the therapeutic leader of choice for patients through the discovery, development, and application of emerging digital solutions. To advance this mission, the DH&I Data Science & Engineering (DS&E) team incubates and applies digital technologies and data science across impactful problems such as predicting patients' risk for a particular disease or using data to determine the most effective treatment for individual patients with grievous illnesses. See our MIT Tech Review and WIRED articles to learn more about our mission and the problems on which we focus.<br><br><b>Responsibilitiesof the Senior Machine Learning Engineer include:</b><br><ul><li>Leads efforts with Amgen business leaders to identify, understand, explore, and deliver relevant data analyses to inform data inclusion, exclusion, and sub-setting criteria as well as feature and model selection for DH&I solutions</li></ul><ul><li>Collaborates with data scientists to analyze and select appropriate data models and algorithms that focus on improving patient outcomes across multiple therapeutic areas leveraging diverse data</li></ul><ul><li>Leads data engineering to extract and create data features from large data sets for input into models</li></ul><ul><li>Collaborates with data scientists to define model validation strategies, train and tune models, and analyze and resolve errors in models</li></ul><ul><li>Leads model deployment to production and defines and develops model monitoring and maintenance processes including metrics to assess accuracy, drift, etc.</li></ul><ul><li>Leads and develops standards, processes, and best practices for the team across the data science-based solution implementation lifecycle</li></ul><br><br><b> Basic Qualifications: </b><br><br>Doctorate degree and 2 years of Data Science and/or Machine Learning and/or Artificial Intelligence experience<br><br>OR<br><br>Master's degree and 6 years of Data Science and/or Machine Learning and/or Artificial Intelligence experience<br><br>OR<br><br>Bachelor's degree and 8 years of Data Science and/or Machine Learning and/or Artificial Intelligence experience<br><br>OR<br><br>Associate's degree and 10 years of Data Science and/or Machine Learning and/or Artificial Intelligence experience<br><br>OR<br><br>High school diploma / GED and 12 years of Data Science and/or Machine Learning and/or Artificial Intelligence experience<br><br><b>Preferred Qualifications:</b><br><ul><li>MS or PhD in Computer Science, Business Analytics, Computational Biology, Bioinformatics, Informatics, Epidemiology, Health Economics, Math, Statistics, or similar field and 2+ years of work experience or Bachelor's degree in Computer Science, Business Analytics, Computational Biology, Bioinformatics, Informatics, Epidemiology, Health Economics, Math, Statistics, or similar field with 5+ years of work experience</li><li>Proven experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role preferably in the healthcare industry</li><li>Understanding of data structures, data modeling, and software architecture</li><li>Proven ability to write robust code in Python (open-source contributions or Kaggle kernels are a plus).</li><li>Strong understanding of linear algebra, probability, statistics, and machine learning algorithms</li><li>Familiarity with Linux operating system and associated shell commands</li><li>Strong verbal and written communication skills</li><li>Proven experience leading and collaborating with diverse business stakeholders to deploy a machine learning model to production on Amazon Web Services (AWS) or similar cloud technology service suite</li><li>Proficient understanding of distributed compute / data processing technology (e.g. Apache Hadoop, Spark, Hive, Arrow)</li><li>Hands-on experience using Databricks or Apache Spark (i.e. PySpark, SparkR, or Scala) and understanding best practices</li><li>Proficiency using and extending ML frameworks and libraries (e.g. TensorFlow, PyTorch, scikit-learn)</li><li>Experience with AWS SageMaker stack, using version control (i.e. Git), working or integrating with Electronic Health Record (EHR) systems such as EPIC, Cerner, and Allscripts</li><li>Deep functional knowledge in one or more functional areas (Research, Development, Commercial Operations, Manufacturing) in the healthcare or life science industry</li><li>Publications or conference presentations on topics in the machine learning arena</li><li>Entrepreneurial mindset with ability to self-direct</li><li>Experience teaching and mentoring a team of engineers and willingness to learn new techniques and keep on top of industry trends</li><li>Experience in managing project scope as well as influencing executive leaders both internally and externally (i.e. through external partners and/or academic leaders)</li></ul><br><br>Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.<br><br>Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.<br><br>Join Us <br> <br> If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen. <br> <br> Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses. <br> <br> As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients. <br> <br> Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.<br/><br/> <img src="https://analytics.click2apply.net/v/ADzO4ghnGOXVCEmjho6np"> <p>PI117016581</p>

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Posted: 2020-01-11 Expires: 2020-02-11

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Senior Machine Learning Engineer

Amgen
Thousand Oaks, CA 91360

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