Principal Machine Learning Engineer

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $187.4k - $253.5k / year

⏰ Full Time

🔴 Lead

🤖 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

• Own enterprise AI/ML architecture, standards, APIs, and guardrails across cloud and on-premises environments • Build production ML and generative-AI solutions and lightweight applications delivering sub-second insights • Build end-to-end ML pipelines covering data ingestion, feature engineering, training, hyperparameter optimization, evaluation, registration, and automated promotion • Build and maintain full-stack AI applications integrating model services with UI components, workflow engines, or business-logic layers • Establish observability, SLOs, safe deployment practices, and incident runbooks • Lead offline/online and A/B evaluation, drift detection, and automated retraining • Architect LLM/RAG systems with prompt management, safety guardrails, and optimized inference • Enforce data quality, lineage, model cards, and data cards; apply privacy-preserving techniques • Contribute reusable ML/GenAI components such as feature stores, model registries, and experiment-tracking libraries • Evangelize best practices that improve engineering velocity across squads • Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets • Prototype and benchmark algorithms, advise on scalability and production readiness, and co-own model-performance KPIs • Translate R&D, Manufacturing, and Commercial domain needs into roadmaps • Mentor teams and communicate technical trade-offs • Partner with DevOps, Security, Compliance, and Product teams to deliver enterprise-grade AI solutions

🎯 Requirements

• Doctorate degree and 2 years of Machine Learning Engineer experience, OR Master’s degree and 6 years, OR Bachelor’s degree and 8 years, OR Associate’s degree and 10 years, OR high school diploma/GED and 12 years • Minimum of 2 years of experience directly managing people and/or leadership experience leading teams, projects, programs, or directing allocation of resources • 3–5 years in AI/ML and enterprise software • Strong command of machine-learning algorithms, including regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, CNNs, RNNs, transformers, and LLM/RAG techniques • Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale • Expert knowledge of vector databases, RAG pipelines, prompt-engineering DSLs, and agent frameworks such as LangChain, LangGraph, and Semantic Kernel • Proficiency in Python and Java • Experience with Docker/Kubernetes containerization • Experience with AWS, Azure, or GCP • Experience with modern DevOps/MLOps, including GitHub Actions and Bedrock/SageMaker Pipelines • Strong business-case skills, including modeling TCO versus NPV • Exceptional stakeholder management and ability to translate complex technical concepts into concise, outcome-oriented narratives • Biotechnology or pharma industry experience is preferred • Published thought-leadership or conference talks on enterprise GenAI adoption preferred • Master’s degree in Computer Science and/or Data Science preferred • Familiarity with Agile methodologies and SAFe preferred • Master’s degree with 10–12+ years of experience in Computer Science, IT, or related field, OR Bachelor’s degree with 12–14+ years of experience in Computer Science, IT, or related field • Excellent analytical and troubleshooting skills • Strong verbal and written communication skills • Ability to work effectively with global, virtual teams • High degree of initiative and self-motivation • Ability to manage multiple priorities successfully • Strong presentation and public speaking skills

🏖️ Benefits

• A comprehensive employee benefits package • Retirement and Savings Plan with generous company contributions • Group medical, dental and vision coverage • Life and disability insurance • Flexible spending accounts • Discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Career development opportunities • Work/life balance plans • Financial plans with opportunities to save towards retirement or other goals