Senior Machine Learning Engineer (Req ID 2119172)

Irvine, CA
Data Science

At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit

Allergan Data Labs is on a mission to transform the Allergan Aesthetics beauty business at Abbvie, one of the largest pharmaceutical companies in the world. Allergan Aesthetic brands include Botox, CoolSculpting, Juvéderm and many more. The medical aesthetics business is ripe for disruption and we're building a high performing Data Science and Engineering team to do just that.

Our leadership has a fresh and innovative vision for how the company should approach digital marketing and product. We are utilizing machine learning in an effort to intelligently engage our customers in a more personalized and effective way. Our team has successfully launched a new and innovative technology platform, Allē, which serves millions of consumers, tens of thousands of aesthetics providers and thousands of colleagues throughout the US. Since its launch in November 2020, Allē has delivered curated promotions, personalized experiences and had millions of consumers use it as part of their beauty journey

We're looking for an accomplished Senior Machine Learning Engineer who is interested in working within a vibrant startup-oriented environment while having the backing of a large company. If that's you, please read on.

The Senior Machine Learning Engineer will be responsible for partnering with Data Scientists, Data Engineering and DevOps to build and deploy scalable machine learning pipelines for training, evaluating, predicting and monitoring ML models.

You Will

  • Architect and build robust cloud based pipelines to train, deploy, infer and monitor machine learning models at scale
  • Integrate ML solutions as micro services with production applications
  • Setup model management system to measure the effectiveness of the models
  • Participate in Agile/ Scrum ceremonies
  • Build detailed documentation and governance processes
  • Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering community

Required Experience & Skills

  • B.S. or M.S. in Computer Science, Mathematics, Statistics, Operations Research or other quantitative field
  • 2 - 4+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem
  • Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (e.g. scikit-learn, Keras/Tensorflow, pymc3) and optimization (e.g. linear programming) tools
  • Strong knowledge of Linux-based OS and cloud platforms (AWS, Azure)
  • Experience with writing enterprise level code to process, transport, analyze, and store data within SQL and NoSQL databases
  • Experience with Docker, CI/CD pipelines, and Git version control
  • Good understanding of serverless technologies (such as AWS Lambda and Step functions or similar cloud services) is a plus
  • Developing high performance API to expose data products

Additional Desired Competencies:

  • Prior experience of building and deploying recommender systems at scale  
  • Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture
  • Experience with managing and architecting solutions on AWS or similar public clouds
  • Experience with building Batch and Streaming pipelines with Apache Spark is a plus

Core Values

  • Be Humble: You're smart yet always interested in learning from others.
  • Work Transparently: You always deal in an honest, direct, and transparent way.
  • Take Ownership: You embrace responsibility and find joy in having the answers.
  • Learn More: Through blog posts, newsletters, podcasts, video tutorials, and meetups, you regularly self-educate and improve your skill set.
  • Show Gratitude: You show appreciation and return kindness to those you work with.


  • Competitive salary.
  • Competitive annual bonus targets.
  • 401k with dollar-for-dollar match, up to 6% of eligible earnings (base, bonus).  Plus, additional company contribution.
  • RSU grants (Long Term Incentives) for approved roles.
  • Comprehensive medical, dental, vision and life insurance.
  • 17 paid holidays per year, including 3 floating holidays.
  • Annual Paid Time Off (PTO), with separate sick days
  • 12 weeks paid Parental Leave
  • Caregiver Leave
  • Adoption and Surrogacy Assistance Plan
  • Flexible workplace accommodations.
  • Free gym membership for those in our Irvine, CA WeWork office.
  • We celebrate our wins with opportunities to attend Lakers, Knicks, Anaheim Ducks, Anaheim Angels and NY Rangers games.
  • Opportunities to attend concerts, festivals and other live entertainment events in recognition of delivering great work.
  • Attend AWS Re:Invent in person (Las Vegas) or virtually each year.
  • Tuition reimbursement.
  • Attend a tech or marketing conference of your choice each year.
  • A MacBook Pro and accompanying hardware to do great work.
  • A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more.
  • Generous discounts on SkinMedica skin care products.
  • Discounted aesthetic treatment days multiple times a year.
  • $600 worth of Alle benefits per year to use towards aesthetic treatments & products.
  • Eligible for donation matching to over 1.5 million nonprofit organizations.
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