
10,000+ employees
Founded 1980
🏥 Healthcare
🧬 Biotechnology
💊 Pharmaceuticals
💰 $28.5G Post-IPO Debt on 2022-12
Healthcare • Biotechnology • Pharmaceuticals
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.
🔥 15 hours ago
🇺🇸 United States – Remote
💵 $35 - $41 / hour
👨🎓 Internship
⚪️ Entry-level
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1980
🏥 Healthcare
🧬 Biotechnology
💊 Pharmaceuticals
💰 $28.5G Post-IPO Debt on 2022-12
Healthcare • Biotechnology • Pharmaceuticals
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.
• Assist in designing, developing, and testing scalable data pipelines for ingestion and transformation into enterprise data lakes and warehouses • Clean, prepare, and analyze structured and unstructured data with data engineers and scientists • Support development and automation of model training, evaluation, and deployment pipelines • Explore and analyze pharmaceutical commercial datasets for data-driven insights • Participate in designing visualizations and dashboards for internal stakeholders • Learn and apply hypothesis testing, regression, and classification • Collaborate on implementing and monitoring ML models in production environments • Document technical processes, models, and tools • Experiment with data engineering and MLOps tools and techniques • Participate in agile ceremonies including sprint planning and retrospectives
• Must be available to work a full-time schedule • Expected continued enrollment in an accredited college or university following the internship program / co-op • Student must be located in the United States for the duration of the internship program • Must be available to accept and commit to future full-time employment by July 2028, if offered • 18 years or older • Graduated with a bachelor’s degree from an accredited college or university • Currently enrolled in an MBA, Master’s, PharmD, or Ph.D. program from an accredited college or university and completed the first year before the internship starts • In the process of completing the first year of a Master’s program with concentration in Information Technology, Computer Science, Engineering, Business, or related field • 1 or more years relevant work experience • Biotechnology, pharmaceutical, or health care industry experience • Intermediate knowledge of Microsoft Word, Excel, and PowerPoint • Foundational experience in Python or R, including pandas, NumPy, matplotlib, seaborn, scikit-learn, and XGBoost • Exposure to AWS, GCP, or Azure • Basic understanding of SQL and experience querying relational or big data sources • Interest or coursework in NLP, time-series analysis, or statistical modeling • Familiarity with Git and collaborative coding practices • Awareness of Databricks, Apache Spark, or Apache Airflow is a plus • Strong interpersonal, project management, analytical, quantitative, and communication skills • Coursework in Business Systems analysis, Lean, Agile (SCRUM), SDLC processes, Software Development, Database Modeling, Web Design and Development, IT Management, cloud-based application management, B2B Collaboration, or enterprise systems • Candidates must be authorized to work in the U.S. for the duration of the program
• Competitive benefits • Collaborative culture • Professional and personal growth and well-being support • Executive and social networking events • Community volunteer projects • Inclusive culture valuing diversity of thought and experience • Reasonable accommodation for individuals with disabilities
Apply Now🕒 3 days ago
LLM/RAG and Machine Learning intern developing Python AI pipelines, chatbots, and digital avatars for industrial training. Supporting sustainable, accessible knowledge solutions at U-Glow.
🇺🇸 United States – Remote
👨🎓 Internship
⚪️ Entry-level
🤖 Machine Learning Engineer
🚫👨🎓 No degree required
🗣️🇩🇪 German Required