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Artificial Intelligence (AI) & Machine Learning (ML) Engineer

| Chicago

Position Overview:

At STATS we have a world-class artificial intelligence team which has the aim to maximize the value of the enormous amount of sports data that we have at our disposal. As an AI/ML Engineer, you will work with our AI researchers on any one of a wide-range of interesting projects at STATS, which span the following fields:

  1. Computer Vision
  2. Predictive Analytics/Multi-scale Simulation & Optimization
  3. Knowledge Graph Construction & Mining
  4. Recommendation Systems
  5. Deep Learning
  6. Natural Language Processing/Understanding

Not only will you be working on new and innovative ideas in the world of sports artificial intelligence, you'll have the ability for potentially billions of people to enjoy the sports product you will create.

What You'll Do:

  • Develop new ideas into AI/ML driven products using our wealth of sports data
  • Engage with domain experts as well as senior leaders and engineers to effectively deliver interpretable results
  • Deal with enormous amounts of unstructured data, and developing solutions in a distributed setting

What You Need:

  • Bachelor's, MS or PhD in computer science or related quantitative field.
  • Experience with AWS/Cloud Big Data computing design, provisioning, and tuning.
  • Significant experience with and knowledge of Big Data technologies (e.g., Spark, Hadoop, NoSQL engines, different data file formats)
  • Knowledge of scripting and programming languages such as Python, Java and/or C/C++
  • Substantial knowledge / experience in one or more of the advanced areas: local, parallel and distributed file systems, SQL/NoSQL database systems
  • Good verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management
  • (Preferred) Experience with Docker or a similar container framework and container orchestration tools such as Kubernetes
  • (Preferred) Direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch

STATS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability or genetics.

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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • C++Languages
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • AWSLanguages
    • jQueryLibraries
    • ReactLibraries
    • AngularJSFrameworks
    • ASP.NETFrameworks
    • CaffeFrameworks
    • ExpressFrameworks
    • Node.jsFrameworks
    • SparkFrameworks
    • TensorFlowFrameworks
    • TheanoFrameworks
    • TorchFrameworks
    • MongoDBDatabases
    • OracleDatabases
    • RedisDatabases
    • AxureDesign
    • BalsamiqDesign
    • IllustratorDesign
    • InVisionDesign
    • PhotoshopDesign
    • SketchDesign
    • ConfluenceManagement
    • JIRAManagement
    • WordpressCMS
    • SalesforceCRM
    • MarketoLead Gen

Location

We're in the heart of downtown Chicago, steps from the Riverwalk, bars/restaurants & cultural attractions, complete with a CTA stop in the building!

What are Stats Perform Perks + Benefits

Culture
Friends outside of work
Eat lunch together
Daily stand up
Pair programming
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Performance Bonus
Child Care & Parental Leave Benefits
Family Medical Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Game Room
Stocked Kitchen
Happy Hours
Professional Development Benefits
Tuition Reimbursement
Lunch and learns
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