Staff AI/ML Engineer

Littleton, CO
30+ days ago

Job Description

DISH Wireless is building a next-gen 5G network to disrupt the wireless industry and fuel innovation in transportation, health care, education, sustainability, city management, and agriculture.
We’re driven by curiosity, pride, adventure, and a desire to win – and we’re looking for people with boundless energy, intelligence, and an overwhelming need to achieve. Join us as we embark on our greatest adventure of all.
Opportunity is here. We are DISH Wireless.

We are looking for an innovative and passionate Staff AI/ML Engineer to help create close-loop automation in our network. We are changing the way the world communicates and changing the definition of network efficiency.

This position is an opportunity for a creative individual to engineer innovative solutions that will propel DISH into the forefront of the next technological revolution using a data-driven approach.

You should have a strong desire to learn new things and continually improve yourself and those around you with a “can do anything” mentality. You live to experiment, test, fail fast, and learn as you go. You take pride in solving complex data problems and don’t settle for “the way it’s always been done” or “good enough.”

In this role, you will:
  • Explore structured/unstructured data sources and deliver ‘quick wins’ using standard statistical and ML/DL techniques
  • Evaluate third-party and proprietary ML/DL models, approach, and architecture
  • Assist in the creation of multi-agent AI frameworks including evaluation criteria, interaction mapping, training methodology, and evolutionary roadmap
  • Develop and deploy new models as needed to support the framework
  • Identify and cultivate necessary tools, processes, and resources to facilitate the organization’s AI strategy
  • Advise long-term strategy related to community engagement, distributed learning, and research and development
  • Engage and monitor the industry state-of-the-art and communicate relevant developments across the organization
  • Communicate the value and net impact of various models, approaches, and architectures in a technical and business context to stakeholders
Successful candidates will have:
  • Bachelor’s degree in Applied Math, Statistics, Computer Science, or a related technical degree
  • At least 3 years of full-time experience in a Data Science or ML Engineering role
  • Proficiency in software development in cloud environments using one or more of the following: Python, Go, R, C++, Java
  • Proven ability to develop, train, deploy, evaluate and refine ML/DL models at scale in a production environment comprising one or a combination of the following: CNN, AE, RNN, GAN, DRL techniques
  • Proven ability to implement data-driven solutions in a production environment using tools such as Hadoop, Hive, Spark, and Kafka
  • Experience using Cloud Native tools such as Kubernetes and operating in agile DevOps teams with CI/CD workflows
  • Experience with standard ML tools such as Tensorflow, PyTorch and Scikit-learn
  • Experience using common data science techniques such as data mining, time series data analysis, multivariate analysis, clustering, regression – logistical and linear, and pattern recognition
  • Fluent understanding of ML/DL techniques and current familiarity with state-of the art and on-going AI research
  • Great communication skills - someone who is passionate about evangelizing the value of advanced data and AI capabilities

The ideal candidate will have:
  • Experience working with sensor-based streaming data and real-time control systems
  • Ability to articulate the pros and cons of multiple training methods
  • An understanding the implications of centralized versus distributed data and the performance impact on CPU, GPU, DPU compute hardware
  • Experience with data visualization tools such as Grafana, Kibana, Tableau
  • Experience leveraging ETL techniques and working with large datasets using: SQL based and non SQL technologies, Athena, BigQuery, Spark, Hadoop, Hive, Impala
  • Experience working in AWS
Compensation: $120,000.00/Yr. - $200,000.00/Yr.
From versatile health perks to new career opportunities, this role provides all the benefits you need to be successful. Check them out on our careers website.

Successful completion of a pre-employment screen, to include a drug test and criminal background check.


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