AI/ML Job: Lead Machine Learning Engineer

Macy's Inc

Lead Machine Learning Engineer at Macy's Inc

San Francisco, California, United States 🇺🇸   (Posted Jun 6 2018)
About the company
As the fastest growing part of Macy's Inc. business, is achieving record sales and broadening our workforce. With offices in New York and San Francisco, is the best of all worlds. The entrepreneurial thinking of a Web business complements the stability and support of a national brand. Creativity and ingenuity partner with business acumen and tech savvy to build a unique business poised for continued growth. Employees at have long term opportunities and are encouraged to utilize their Supervisors and Human Resources for cross-functional movement to further their careers. At we are committed to giving back to the community by partnering with local charitable organizations. By skillfully combining the power of the Internet with the best in retailing, is reaching new heights.

Job position

Job description
Macy's is looking for a passionate, talented, and innovative Machine Learning Engineer with a strong machine learning background to help build industry-leading AI/ML enabled applications for retail/commerce platform. As ML Engineer you can be part of the team shaping the future of retail/commerce, revolutionize how millions of customer shop online, store and other channels, you'll partner with technology and business teams to build new AI/ML enabled smart services that surprise and delight our customers. You will be working with big data (text, images, audio & other) to solve real-world problems for customers & partners. You'll design and run experiments, research new AI/ML algorithms & techniques, and find new ways of optimizing risk, opportunities, profitability, and customer experience. As a Lead ML Engineer your work involves performing applied ML in the areas of feature engineering, natural language processing, deep learning, machine learning, data insights and analytics. Successful candidate will work on heterogeneous data sets (behavioral, transaction and click stream data) and focuses on solving applied problems using Machine Learning. The ideal candidate will have a nice blend of applied math, data science and engineering skills, proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills. The candidate will be expected to be strong at communication and capable of cross group collaborations. As an ML engineer, you will work on smart services that improve our operations and customer experience. You will marry state-of-art AI/ML algorithms with distributed systems engineering to build systems that drive efficiencies & improve customer engagement in our retail/commerce platform. Perform other duties as assigned.

Essential Functions:

• Lead and work with ML engineers and data scientists to build smart commerce services & ML applications.

• Assess how a given problem can be addressed using advanced data analytics and/or various ML techniques.

• Identify what kind of data in which format should be collected in order to solve the problem.

• Identify which advanced data analytics or machine learning technique, such as reinforced learning, deep learning or traditional ML, is more suitable for the problem.

• Clean & structure the data and build training & validate data sets by applying advance feature-engineering techniques.

• Training models and showing that they can perform better than the baseline.

• Implement from early exploration to production.

• Set up development and test environments for advanced analytics and machine learning projects.

• Consistently demonstrates regular, dependable attendance & punctuality.

Skills & requirements


• BA/BS Degree required (MS or PhD preferred).

• 5+ years of industry experience in Machine Learning or related field.

• Extensive programming experience in Python and Java.

• Strong preference for programming experience in Spark framework and PySpark.

• Strong preference for hands-on experience with TensorFlow, Scikit-learn, PredictionIO, Spark MLlib, MXNet, Caffe, H2O or other ML Libraries.

• Basic knowledge on RESTful APIs.

• Familiar with various machine learning techniques and libraries.

• A plus to have working knowledge of Big Data (Hadoop, Cassandra, Spark, Kafka, YARN), real-time and batch processing.

Communication Skills:

• Able to effectively lead and communicate across teams and roles.

Reasoning Ability:

• Proven ability as a problem-solver.

Physical Demands:

• This position involves regular walking, sitting, hearing, and talking.

• Involves the use of a computer, mouse and telephone.

Other Skills:

• Results oriented and has a high degree of accountability, commitment and responsibility.

• Able to work in a dynamic environment with changing requirements.

Work Hours:

• Ability to work a flexible schedule based on department and store/company needs.

Instructions how to apply
see the website
[ job website ]

Let them know you found the job via
(Companies love to know recruiting strategies that work)

Other jobs that might be interesting

Snap Inc Research Engineer, Machine Learning - Snap Inc   (November 2018)
Los Angeles, California, United States
Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun...
Amazon Machine Learning Scientist, Alexa Speech - Amazon   (November 2018)
Seattle, Washington, United States
Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR) and Natural...
Lyft Software Engineer, Machine Learning - Lyft   (October 2018)
San Francisco, California, United States
At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they...