Machine Learning Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $129.7k - $175.4k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

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Amgen

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Contribute to the development of scalable machine learning platforms and workflows that enable scientists and researchers across Amgen to build, deploy, and manage AI/ML models • Work closely with experienced engineers, data scientists, and domain experts to productionize machine learning solutions primarily in support of drug discovery and development • Deliver AI and ML-enabled applications, with deployed models ranging from classical ML models to natural language processing, protein language models, and large language models • Contribute to the development and maintenance of ML platform capabilities, including: • Data pipelines and feature engineering workflows • Model training, evaluation, and deployment pipelines • Experiment tracking and model registry systems • Model performance evaluations and monitoring • Partner in implementation of AI and ML Ops best practices, including CI/CD, infra as code, monitoring, traceability and reproducibility • Collaborate with cross-functional teams to transition standards and outcomes from experimentation to production-grade enterprise solutions • Build and maintain scalable and efficient, productionized MLOps solutions on cloud platforms • Develop and deliver training content and knowledge articles to educate resident scientists on model lifecycle management best practices

🎯 Requirements

• Master’s degree OR Bachelor’s degree and 2 years of experience in Computer Science, IT, or engineering field OR Associate’s degree and 6 years in Computer Science, IT, or engineering field OR High school diploma / GED and 8 years in Computer Science, IT, or engineering field • Software programming (Python, version control, test-driven development) • Familiarity with cloud technologies (AWS preferred, Databricks) • Hands-on experience with AI/ML model training and serving • Experience with deployment and maintenance of AI/ML models in production (preferred) • Substantial experience with cloud technologies and platforms, such as Databricks, AWS (preferred), or Azure (preferred) • Experience with AI and MLOps frameworks and tools (MLflow, Kubeflow, Weights & Biases, Terraform, etc.)(preferred) • Experience with containerization (Docker, Kubernetes)(preferred) • Familiarity with distributed data processing (e.g., Spark)(preferred) • Familiarity with data science libraries (scikit-learn, TensorFlow, PyTorch, LangChain)(preferred)

🏖️ 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 where possible.