AbbVie

2024 Machine Learning Engineer Intern - Illinois - Now Hiring

Dallas, TX | $28K - $52K

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Qualifications

One semester or one year left and currently enrolled in a MS, or PhD program in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field
Strong programming skills in Python, an understanding of core computer science principles, and experience with Python data manipulation frameworks such as Pandas & PySpark
Knowledge of SQL and relational database design
Broad knowledge of basic computational statistics and good understanding of theoretical fundamentals of statistics
Thorough and broad knowledge of machine learning modeling & training techniques, as well as best practices for ensuring robustness & performance
Familiarity with practical data pipeline approaches such as ETL/ELT & stream processing
Familiarity with technologies such as microservices, APIs, containerization (e.g., Docker, Kubernetes), and cloud environments (e.g., AWS)
Strong interpersonal and verbal communication skills
Ability to work effectively from your remote location using modern collaborative tools running on a company-provided MacBook Pro
A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more

Responsibilities

You will be responsible for collaborating with cross functional partners and applying your data skills to deliver insights from data and build data-driven solutions for products, operations, marketing, and sales
As a Machine Learning Engineer Intern, you will report to the Manager of Data Engineering
Your role will span 10 to 12 weeks beginning in May 2024 and concluding in August 2024
Collaborate with Data Engineers, Software Engineers, and other business partners to identify, gather, cleanse, and organize data sets needed for machine learning and AI models
With guidance from seasoned Machine Learning Engineers & Data Scientists, write scalable code and build data pipelines to extract meaningful features from raw data
Assist seasoned Data Scientists to design, train, and evaluate machine learning and/or AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc
Collaborate with seasoned Machine Learning Engineers & Data Scientists to design and implement machine learning and/or AI models as robust solutions that can be deployed into production at scale as microservices, reverse ETLs, or stream processing
Collaborate with seasoned Machine Learning Engineers & Data Scientists to implement production monitoring metrics that detect performance degradations such as non-stationary behavior & anomalies, and that automatically trigger model retraining and/or alerts
Work with stakeholders to identify model performance criteria and implement production solutions to monitor performance
Follow our governance & development standards, including processes & frameworks for logging experiments, code & model quality standards, documentation, and source controlling artifacts
Clearly document & present your work and informational materials at the appropriate level of detail to your team & business partners

Benefits

Competitive Salary

: 10,001+ employees
: Biotechnology, Medical, Manufacturing, Health Care, Pharmaceuticals, Medical Devices, Healthcare Services, Healthcare, Clinical Research, Health Care Services
: Public Company
: NYSE:ABBV
: Crunchbase Link
: Last round: Post IPO equity
: Last round: US$ 250.0K
: North Chicago, Illinois
: Company Specialties:
Biopharmaceutical, Biotechnology, Innovation, Research and Development, Manufacturing, Biotherapeutics, Oncology, Immunology, Virology, Neuroscience, and Womens Health