Lead Machine Learning Engineer

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🏄 California – Remote

🏄 California – Remote

💵 $124.5k - $236.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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AbbVie

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2013

💊 Pharmaceuticals

🧬 Biotechnology

⚕️ Healthcare Insurance

Pharmaceuticals • Biotechnology • Healthcare Insurance

AbbVie is a global pharmaceutical company that discovers and delivers innovative medicines and solutions to enhance lives. With a focus on addressing the world's toughest health challenges, AbbVie operates in over 175 countries, providing a wide range of products across areas like immunology, oncology, neuroscience, and aesthetics. Committed to scientific innovation, AbbVie invests heavily in research and development, aiming to produce first-in-class medicines. The company also emphasizes workplace diversity, sustainability, and patient support initiatives, ensuring positive impact for both its patients and the broader community.

📋 Description

• Collaborate with cross-functional partners (Product Managers, Data Scientists, Data Engineers, Software Engineers, Business teams) to build data and Machine Learning products • Take ownership of objectives and key results for your workstream, and own technical solutions in partnership with your manager • Architect and build robust systems to train, deploy, run inference, and monitor Machine Learning and AI systems at scale • Champion code quality, reusability, scalability, maintainability, and security, and provide input into strategic architecture decisions • Implement processes and tools to ensure data quality, enforce data governance policies and engineering best practices • Integrate Machine Learning and AI systems with production applications • Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering community

🎯 Requirements

• Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field • 7+ years of experience as an engineer specialized building Machine Learning systems • 2+ years of technical leadership delivering machine learning solutions in partnership with engineers, scientists, and business stakeholders • Strong programming skills in Python and understanding of core computer science principles • Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. • Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc. • Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc. • Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks • Experience with data warehouses (e.g., dimensional modeling), data lakes/Lakehouses, and other data architectures • Experience orchestrating complex workflows and data pipelines using Airflow or similar tools • Ability to load test deployed models at scale to identify performance bottlenecks • Experience with Git, CI/CD pipelines, Docker, Kubernetes • Experience with architecting solutions on AWS or equivalent public cloud platforms • Experience with developing data APIs, Microservices and event driven systems to integrate ML systems • Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production • Experience in assessing and implementing new data tools to enhance the machine learning stack • Strong interpersonal and verbal communication skills • Technical leadership experience and the ability to mentor and guide others

🏖️ Benefits

• paid time off (vacation, holidays, sick) • medical/dental/vision insurance • 401(k) to eligible employees • participation in long-term incentive programs