Allergan Data Labs is hiring a
Lead Machine Learning Engineer

Summary

The job is for a Lead Machine Learning Engineer at Allergan Data Labs., a startup-oriented organization within AbbVie. The role involves collaborating with cross-functional teams, managing a small team of ML engineers, building data products, and architecting and deploying machine learning systems.

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 leading a team of Machine Learning Engineers in projects to deliver data solutions
• 1+ year of experience as the reporting manager for a small number of individual contributors
• 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 with orchestrating complex workflows and data pipelines using like Airflow or similar tools
• Ability to load test deployed models at scale to understand performance breakpoints
• 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
• Leadership experience and the ability to mentor and guide a team

Responsibilities

• Take ownership for achieving objectives and key results for your team, allocate resources, oversee & own technical solutions, communicate schedule, status, and milestones
• Lead and manage a small team of Machine Learning Engineers by setting goals, supervising work, providing guidance, evaluating performance, removing barriers, cultivating career development, and promoting job satisfaction
• Collaborate with cross functional partners (Product Managers, Data Scientists, Data Engineers, Software Engineers, Business teams) to build data products
• Architect and build robust systems to train, deploy, run inference, and monitor machine learning and AI models at scale
• Champion code quality, reusability, scalability, maintainability, and security as well as providing input for 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

Preferred Qualifications

• Knowledge of data mesh concepts
• Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
• Knowledge of vector databases, knowledge graphs, and other approaches for organizing & storing information

Benefits

• Offers a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees
• Eligible to participate in our short-term incentive programs
• Eligible to participate in our long-term incentive programs