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At Sensormatic Solutions, a division of Johnson Controls, we bring together diverse data and insights with our intelligent operating platform that is designed to improve shopper experiences and retail outcomes. Our innovative solutions (Loss Prevention, ShopperTrak, and Inventory Intelligence) drive customer experience improvements and enable retailers to build streamlined shopping.
What you will do
- You will be part of a team working on the cutting edge of what’s possible with machine learning and computer vision within retail. Our group has a mandate to advance the state of the art in retail analytics. You will have autonomy to experiment with video to solve some of modern retail’s most complex problems.
How you will do it
- Design and build machine learning systems that solve difficult problems involving big data/information retrieval/recommendation systems
- Ability to technically lead and guide a team of machine learning experts
- Provide creative and useful analysis for our retail customers. Find data that is predictive for their businesses.
- Ability to understand what moves the needle for our customers and explore data that could be helpful. Must be able to do this without much direction.
- Ability to find, source, and store unique data sets that may be useful for analysis (e.g. go get Google Analytics data and add it to your model)
- Ability to design & build data analysis environment with Hadoop
- Deploy models to production for use by our applications
- Coach new ML engineers on real world techniques
- Manage expectation among stakeholders within the enterprise
- Ensure that models are shipped to production and available to other teams
*The ideal candidate will sit in Boca Raton, FL or be willing to relocate eventually**
What we look for
- Ph.D. or MS in Computer Science, Machine Learning/AI, Data Science, Applied Mathematics, Statistics. (certifications not required with substantial practical experience)
- Strong abilities with Python or R and the ability to scale with Hadoop.
- Experience with Google Cloud Platform (specifically CloudML, Big Query and Data Proc). Experience with other cloud ML platforms (Sagemaker, Azure ML Services, Watson ML Studio, Paperspace) taken into consideration.
- Demonstrated ability to architect the structure of very large data sets.
- Familiarity with pulling data from (or migrating from) Oracle, MongoDB, flat files, and other data sources for analysis.
- 5+ years building machine learning systems and analyzing large data sets with modern tools.
- Passion for machine learning & data analysis.
- Demonstrated exploration of new techniques outside of day-to-day job duties.
- Working as a leader within a team for 2+ years
- Python(preferred) or R
- SQL
- ML frameworks (e.g. Keras, TensorFlow, Caffe)
- Hadoop (HBase, Hive, Pig, RHadoop)
- Spark (MLlib)
- GPU optimization of ML algorithms
- Implementation experience with vision algorithms (CNN, R-CNN, YOLO)
- GCP (Big Query, Data Flow, Data Proc, Cloud Storage, Cloud ML) [AWS/Azure equivalent experience OK as well]
- Linux
Where legally permissible, if hired, the candidate is required to be fully vaccinated against Covid-19 no later than their start date, unless the candidate has a valid medical condition or sincerely held religious belief precluding them from receiving the vaccine.
Johnson Controls is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit
