Position Details

GIS MACHINE LEARNING ENGINEERS

Company: ESRI
Positions: GIS Machine Learning Engineers (5 positions total, mid to Sr. Level)
Employment Type: Direct Hire
Compensation: ~120-160k+ and excellent benefits (see below)
Visas: transfers can be considered
Potential Locations: Redlands, CA 92373, Sacramento, CA 95814, Vienna, VA 22182, Broomfield, CO 80021, San Antonio, TX 78232, Chesterbrook PA 19087, Eagan, MN 55121, Charlotte, NC 28226, Olympia, WA 98501, St. Charles, MO 63301, Middleton, MA 01949, possibly New York, NY 10001, possibly Richardson, TX 75080
Relocation Assistance: relocation assistance is available
Travel: ~20-30% Nationwide Travel

Required Skills/Experience:
• Strong experience with the ArcGIS platform using editing tools, performing spatial analysis, and creating geodatabases
• Strong mix of ESRI Applications and commonly used features (ArcGIS Desktop, ArcGIS Online, ArcGIS Server, Portal for ArcGIS, ArcCatalog, ArcMap, ArcView, etc.)
• Understanding of the technical infrastructure of GIS software tools
• Experience in technical consulting and conceptual solution design
• Experience presenting GIS-based business solutions
• Experience with some scripting (ArcPy, Python, Javascript, etc.) and/or databases (Geodatabases, Access, SQL Server, etc.)
• Experience with Data Science / Machine Learning / AI
• Strong verbal and written communication skills; comfortable presenting
• Bachelor’s or Master’s in data science, geography, computer science, or a related field

Desired Skills/Experience (some mix of):
• Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with some of these tools, languages, frameworks, etc.: R, Python, Weka, SciKit-learn, MATLAB, Theano, Spark MLlib, H2O, TensorFlow, PyTorch, etc.
• Proven experience in ETL, data processing, transformation, cleaning, and data warehousing techniques
• Experience with applied statistics skills, such as distributions, statistical testing, and regression
• Experience with data visualization techniques and tools (e.g., ggPlot2)
• Good software engineering background (OOP, data structures, algorithms, computability, and complexity)
• Experience training a deep Neural Net
• Experience with Convolutional Neural Networks (CNN)
• Experience dealing with massive data sets, using big data tools (Hadoop HDFS, MapReduce, Accumulo, Presto, MongoDB, Cassandra, HBase, R, Mahout, Pig, and Hive, DC/OS)
• Hands-on experience and expertise with cloud computing services (AWS, Azure, etc.)

Responsibilities:
• Apply data mining and machine learning techniques, perform statistical analysis, and build high-quality prediction systems that solve our customers' business problems
• Explore, interpret, and analyze datasets for patterns of interest
• Work closely with various teams to understand our customers’ needs, eventually crafting and pitching machine learning use cases to them
• Model business problems to machine learning ones, map business data to dependent and independent features, perform proper feature engineering, iterate with different predictive models, and conduct hyper parameter optimization to yield highest prediction accuracy to deploy the model to production
• Help build the data science and machine learning capability inside Esri by developing best practices and patterns for geospatial machine learning, developing reusable technical components for demos and POCs and identifying and helping establish the needed technology stack and infrastructure
• Keep up to date with latest technology trends in machine and deep learning and quickly learn about new frameworks/techniques to be used in projects delivery

Company Info:
• Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them. Carefully managed growth and zero debt give Esri stability that is uncommon in today's volatile business world.
• Privately held, in business almost 50 years, profitable, with zero debt (extremely stable)
• Over 50% of market share in the GIS industry
• 350,000 clients
• 3,100 employees
• 10 US offices (corporate office in Redlands, CA)
• 80 distributors worldwide
• 1,800+ partners (we collaborate with major technology leaders: Amazon Web Services, Citrix, IBM, Microsoft, Oracle, SAP, SAS…)

Benefits:
• Medical, dental, vision (totally paid for employee and dependent)
• Life Insurance – paid
• Matched 401k
• Profit Sharing into 401k
• Holidays, Vacation, and Sick Time
• Tuition Assistance


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