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Machine Learning Engineer

Company: University of Denver
Location: Des Moines
Posted on: March 18, 2023

Job Description:

Job detailsJob TypeFull-timeFull Job DescriptionEMPLOYEE STATUSRegularSCHEDULEFullTimeJOB TYPEEntry LevelEDUCATIONBachelor's DegreeADDITIONAL LOCATIONSIndianapolis, IN, USDescriptionCorteva Agriscience--- has a rich history of scientific discovery that has enabled countless innovations. We're looking for more people, in more places, to collaborate with us to create a market-shaping, agriculture company with leading positions in seed technologies, crop protection and digital agriculture.Systems Design and Optimization team is looking for a highly motivated, result-oriented AI/ML Engineer to join the team. Our team pursues research & development in the areas of machine learning (ML) with a particular focus on optimization, planning, recommendation systems, reinforcement learning (RL) and deep learning (DL).This role will be involved in design of end-to-end pipelines and must be comfortable working with all the technologies required to take a new feature from idea all the way to production - define, build, test and deploy new functionality for various applications and solutions. This position will work with researchers across data science team to build scalable and distributed research pipelines.Candidates will need strong communication skills to work with a diverse set of partners and customers to determine the right solutions for the problems. They will learn Ag industry and custom tools/infrastructure to build these solutions.Technical Skills Required:

  • BS, MS, or PhD in Computer Science and/or demonstrated substantial expertise in machine learning and explainable artificial intelligence.
  • Practical background building machine learning and artificial intelligence (AI/ML) solutions.
  • In-depth expertise in deep learning (DL), statistical machine learning (ML), reinforcement learning (RL), and Multi-agent distributed reinforcement learning
  • Understanding the math of machine learning: optimization methods, common types of models and layers, etc.
  • Familiar with one or more main-stream machine learning platforms (e.g., scikit-learn, TensorFlow, and PyTorch)
  • Ability to train and debug deep learning systems: Define metrics and datasets, performing error analysis, training models in a modern DL framework
  • Excellent programming skills in Python, expertise in C/C++ is a plus
  • Experience deploying end-to-end ML models to production
  • hands-on software development experience is a plus
  • Experience integrating solutions with other applications and platforms outside the framework
  • Advanced understanding of relational database design and theory is a plus
  • Experience in full stack web development with both frontend (e.g., React, and D3.js) and backend (e.g., Flask, Django)
  • Experience in human-in-the-loop and human-AI teaming research methods
  • Experience with Docker, and Kubernetes
  • "Big Data" solutions such as Spark, and Kafka
  • Comfortable with remote work and distributed team
  • Excellent written and oral communication skills
  • Experience working in an Agile software development environmentQualificationsOther responsibilities:
    • Creates technical documentation
    • Develops and executes self-documenting automated unit tests as well as manual exploratory testing efforts
    • Participates in the design and development of the API and messaging frameworks with one or more applications.
    • Works in compliance with all coding standards, policies, and procedures.
    • Adheres to production readiness standards for applications including source control branching/merging, automated test coverage, automated builds, and automated releases
    • Integrates solutions with other applications and platforms outside the framework.
    • Participate in code reviews for quality assurance.
    • Provides ongoing maintenance of applications, may assist in production support.
    • Cloud infrastructure and engineering to support the AI/ML implementationLet's peek at how you can grow your wellbeing, health, and future at Corteva!
      • Strike a better work-life balance with robust time off benefits including paid maternity, paternal, and family illness leave
      • Prepare for your future with our competitive retirement savings plan, tuition reimbursement program, and more
      • Enjoy access to health benefits for you and your family on your first day of employment
      • And much, much more!Check out life at Corteva! - to grow your perspectives, impact and career? Start by applying to this opportunity today!Salary RangeThe salary range for this position is $107,000 - $148,000 yearly. This reflects a reasonable estimate of the targeted base salary for this role. This role is also eligible for an annual bonus. Based on factors such as geographic location and candidate qualifications, actual base pay is determined when an employment offer is made. In addition, this position includes benefits where you can learn more here.#GrowWhatMattersCorteva Agriscience--- is an equal opportunity employer. We are committed to boldly embracing the power of inclusion, diversity, and equity to enrich the lives of our employees and strengthen the performance of our company, while advancing equity in agriculture. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. Discrimination, harassment and retaliation are inconsistent with our values and will not be tolerated. If you require a reasonable accommodation to search or apply for a position, please visit:
        • Accessibility Page for Contact Information
        • For US Applicants: See the 'Equal Employment Opportunity is the Law' posterTo all recruitment agencies: Corteva does not accept unsolicited third party resumes and is not responsible for any fees related to unsolicited resumes.Career & Professional Development Contact & LocationBurwell Center for Career Achievement
          2190 E. Asbury Avenue
          Denver, CO 80210

Keywords: University of Denver, Des Moines , Machine Learning Engineer, Engineering , Des Moines, Iowa

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