职位1
IT Solution Architect
Plano, TX/Novi, MI/Natick, MA
Job ID: FL18661321
Summary
KEY RESPONSIBILITIES
  • Establish instant credibility and paint a vision with customers by using your industry experience to integrate MathWorks products with enterprise IT software
  • Understand customer business problems and collaborate with corporate IT and business managers to match solutions to their ecosystem
  • Lead Technical projects with key enterprise customers
  • Develop software reference architectures and extensions to MathWorks products to meet customer needs
  • Work closely with internal sales and other customer-facing staff to provide technical guidance for successful adoption of MathWorks products
  • Advocate on the future direction of MathWorks products based on customer interactions/requirements
BASIC QUALIFICATIONS
  • A bachelor's degree
  • Demonstrated experience in software development and IT architecture design
  • Programming knowledge of at least one: Java, JavaScript, SQL, C/C++
  • Customer facing experience including leading large/complex technical customer projects
  • Ability to engage, negotiate and influence business and IT managers in enterprises
  • Interest in one or more of the following IT areas is required:
  • Cloud, e.g. Azure, AWS or GCP.
  • Hadoop or Spark.
  • Data streaming and IoT related technologies, e.g. Kafka or IoT Hub.
  • Databases, e.g. MongoDB, SQL Server or Cassandra.
  • Visualization, e.g. Tableau, Power BI or Spotfire.
职位2
Machine Learning Research Intern
Natick, MA
Job ID: FL18661322
Summary
KEY RESPONSIBILITIES
After training on MathWorks development processes and tools, you will work with the Research Scientists team on: 
  • Machine Learning & Deep Learning
  • Data Analysis
  • Connected and Autonomous Vehicles
  • Traffic Scenarios
BASIC QUALIFICATIONS

  • Candidates must be pursuing a master's level or a PhD level degree in a technical discipline.
  • Experience with MATLAB
  • Pursuing a PhD in Computer Science or Engineering with a strong academic record
  • Experience with deep generative models (e.g., Generative Adversarial Networks, Variational Autoencoders, etc.)
  • Experience with unsupervised learning
  • Experience with modeling and simulation
  • Strong communication skills
  • Publication track record in research
  • A 3 months full-time commitment (start date is flexible)
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