Data Scientist - Computer Vision

Job Description

The Opportunity:

Shutterstock is a technology company that powers one of the world's largest two-sided marketplaces for high-quality photos, illustrations, videos and music used by individuals, businesses, marketing agencies and media organizations of all sizes.

In this role, you will help us discover insights hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus as a Data Scientist - Computer Vision will be applying data mining techniques and AI algorithms in the areas of deep learning and machine learning, doing statistical analysis and building high quality prediction systems integrated with our products and solutions. Along the way you will be collaborating with an extremely talented and passionate team of researchers, data scientists and engineers from around the world working for Shutterstock.

Responsibilities:

• Software development with innovative deep learning and machine learning algorithms
• Exploring immense data sets of information from images, videos, music, customer interactions, and marketing
• Selecting features, building and optimizing classifiers using machine learning techniques
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Analyze data from across Shutterstock including behavioral data with state of the art techniques to provide a better experience to customers
• Creating automated anomaly detection systems and constant performance tracking
• Working with data engineers, analysts and business partners to drive ideas from the rapid prototyping phase all the way through to serving and learning from live traffic at scale

Requirements:

• 3+ years of experience with common toolkits, such as TensorFlow, Caffe, Torch/PyTorch
• 3+ years of industry experience creating, deploying, and learning from production algorithm analysis
• Experience with graphics/visualization programming (Unity, CUDA, WebGL)
• Fluent in one or more general purpose programming languages including but not limited to Python, Spark, C, Java, Scala
• Proficiency in using query languages such as SQL, Hive, Pig
• Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.
• Complete understanding of common CV frameworks such as Faster RCNN, YOLO, and Inceptionv3
• BS or MS in Computer Science or equivalent experience

Bonus Skills:

• Computer Vision experience, natural language processing, recommendation systems, classification, pattern recognition
• Notebook experience [Jupyter, Zeppelin, Databricks, etc] to perform data analysis and algorithm development using Python
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Cloud computing experience
• Docker or Kubernetes exposure
• Ph.D. in a related scientific field: Computer science, Physics, Math

About Shutterstock:

Shutterstock, Inc. (NYSE: SSTK ), directly and through its group subsidiaries, is a leading global provider of high-quality licensed photographs , vectors , illustrations , videos and music to businesses, marketing agencies and media organizations around the world. Working with its growing community of over 350,000 contributors, Shutterstock adds hundreds of thousands of images each week, and currently has more than 180 million images and more than 9 million video clips available.

Headquartered in New York City, Shutterstock has offices around the world and customers in more than 150 countries. The company also owns Bigstock , a value-oriented stock media agency; Shutterstock Custom, a custom content creation platform , Offset, a high-end image collection ; PremiumBeat a curated royalty-free music library; and Rex Features, a premier source of editorial images for the world's media.

For more information, please visit www.shutterstock.com and follow Shutterstock on Twitter , Facebook and Instagram .

To see some of our featured Open Source projects go to: http://tech.shutterstock.com

Equal Opportunity Employer, M/F/D/V