AbbVie

Lead Machine Learning Engineer

AbbVie • $130K — $160K *
San Diego, CA 92154In-Person
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, or PhD in Computer Science or related quantitative field
  • 7+ years of Machine Learning engineering experience
  • 2+ years of technical leadership in ML solutions
  • Strong Python programming and understanding of core CS principles
  • Experience with ML frameworks like TensorFlow and PyTorch
  • Familiarity with MLOps and automated model deployment
  • Proficient in complex data pipelines using SQL and PySpark

Responsibilities

  • Collaborate with cross-functional teams to develop ML products
  • Own objectives and technical solutions for your projects
  • Architect and build scalable ML and AI systems
  • Ensure high code quality and provide strategic architecture input
  • Implement data quality processes and governance policies
  • Integrate ML systems with production applications
  • Stay updated on the latest ML technologies and innovations

Benefits

  • Comprehensive paid time off policy for vacation, holidays, and sick days
  • Medical, dental, and vision insurance offerings
  • 401(k) plan for eligible employees
  • Participation in long-term incentive programs
Full Job Description
Job Description

Responsibilities:
  • 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


Qualifications

Required Experience & Skills:
  • 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

Preferred Experience & Skills:
  • 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
  • Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, DataCataloging tools, Data Observability tools and Data Governance tools


Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.

About AbbVie

AbbVie develops pharmaceuticals and medical devices. They provide products and services to therapeutic areas including immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology.

AbbVie Careers

Joining AbbVie means becoming part of a global team dedicated to making a remarkable impact on patients' lives. At AbbVie, our employees are united in the pursuit of groundbreaking innovation and are committed to transforming the future of healthcare with leading-edge science.

Work You’ll Do

At AbbVie, you’ll collaborate with some of the brightest minds in the industry to solve challenging problems that have a high impact on society. Our culture fosters growth and embraces leadership and diversity training, ensuring that every team member can thrive.

Explore Job Opportunities

AbbVie offers a wide range of job opportunities and career paths, providing a platform where professionals can propel their careers forward. From research and development to marketing and sales, the potential to make a significant impact is limitless.

Internship Programs

Kickstart your career with an AbbVie internship. Our programs provide invaluable industry experience and a chance to develop essential skills in a real-world setting. Interns at AbbVie are considered integral members of the team and are given tasks that are both challenging and rewarding.

Professional Growth and Development

We believe in nurturing our team's professional growth through comprehensive training programs, leadership development opportunities, and continuous learning. Our commitment to your career growth is reflected in our robust offerings that enhance your skills and knowledge.

Benefits and Culture

AbbVie is dedicated to supporting our employees' well-being both inside and outside of work. Our benefits package includes health, financial, and social benefits that are designed to support the diverse needs of our employees. Our inclusive culture encourages collaboration and innovation, fostering a workplace where all can excel.

Hiring Process

Our hiring process is designed to ensure a match that will be beneficial both for the company and for your career aspirations. From resume submission to interview, each step is an opportunity to showcase your skills and fit with the AbbVie team.

Networking and Career Advancement

At AbbVie, networking doesn’t just enhance your career; it propels it. We encourage our employees to engage internally and externally to build relationships that foster personal and professional growth.

Join Our Team

Search open positions that match your skills and interests. We are looking for passionate, curious, and innovative team players who are ready to make a difference.

Stay Connected

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Explore AbbVie Jobs

Whether you’re seeking to advance your career in a dynamic and empowering environment, or looking for a place where you can innovate, lead, and contribute to something bigger, AbbVie is the place for you. Join us in our mission to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow.
Learn more about AbbVie
Size
50,000 employees
Market Cap
$288.5 billion
Industry
Pharmaceuticals & Biotech
Net Income
$4.6 billion
Founded
2013
5 Year Trend
+17%
Revenue
$45.8 billion
NASDAQ
ABBV
* Ladders Estimates

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