Senior Machine Learning Engineer

🕒 June 26

🏄 California, Florida – Remote

🏄 California – Remote 🐊 Florida – Remote

💵 $156.2k - $211.3k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

💰 $28.5G Post-IPO Debt on 2022-12

Biotechnology • Pharmaceuticals • Science

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.

📋 Description

• Play a pivotal role in building and scaling machine learning models from development to production • Collaborate with data scientists to develop, train, and evaluate machine learning models • Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring • Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment • Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency • Develop and implement monitoring systems to track model performance and identify issues • Conduct A/B testing and experimentation to optimize model performance • Work closely with data scientists, engineers, and product teams to deliver ML solutions • Stay updated with the latest trends and advancements

🎯 Requirements

• Doctorate degree OR Master’s degree and 2 years of Computer Science experience OR Bachelor’s degree and 4 years of Computer Science experience OR Associate’s degree and 8 years of Computer Science experience OR High school diploma / GED and 10 years of Computer Science experience • Solid foundation in machine learning algorithms and techniques • Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) • Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) • Outstanding analytical and problem-solving skills • Ability to learn quickly • Good communication and interpersonal skills

🏖️ Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions • group medical, dental and vision coverage • life and disability insurance • flexible spending accounts • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models, including remote and hybrid work arrangements, where possible