Principal Machine Learning Engineer

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Tackle challenging problems and create scalable machine learning systems and platforms
Provide machine intelligence driven solutions and products
Partner closely with Data Scientists, Applied Scientists, and Software Developers
Adopt common patterns and build effective abstractions across machine learning pipelines
Develop horizontal solutions to scale machine learning models and processes
Build software with Object-oriented Design Patterns and Analysis
Participate in requirements reviews, design reviews, and code reviews
Research and prototype new technologies

Strong coding experience (e.g. Java, C#, Python)
Experience with gathering data from multiple sources using big data technologies (Spark, Hadoop, BigQuery, Athena, etc.)
Experience building machine learning infrastructure following robust software engineering practices
Knowledge of modern software development tools, systems, and practices (design patterns, CI/CD, git, unit testing, smoke testing, integration testing, job schedulers, cloud technologies like AWS Lambdas and Google functions, etc.)
Exposure to all aspects of the software development life-cycle
Experience with messaging technologies (Kafka, Google Pub/Sub, Kinesis, RabbitMQ, etc.)
Experience with Docker and Kubernetes
High degree of accuracy and attention to detail
Excellent organization skills and ability to multitask
Experience with Microsoft Office Suite (Word, Excel, PowerPoint)
Bachelor’s Degree in Computer Science, Electrical Engineering, or related field required
Generally requires a minimum of two (2) years relevant experience in applied machine learning or machine learning systems/infrastructure
one (1) year of relevant work experience in machine learning engineering or related fields

Skills