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Making transportation safer through Machine Learning

Machine Learning Engineer

$100k – $150k • 0.1% – 1.0%
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Bootstrap a data focused engineering team building the foundation for supporting the next generation of autonomous vehicles
Work with engineering, data science and business teams to develop, test and maintain optimal data processing pipelines and related architectures, ensuring the overall solution will support business requirements.
Employ sophisticated analytics, statistical methods and machine learning to prepare data for use in predictive and prescriptive modeling.
Make intelligent trade offs in a fast paced environment to deliver what needs to be done now, while positioning the platform for future growth.
Build, monitor, and maintain data ETL pipelines
Administer and maintain our data infrastructure

Bachelor’s degree in Computer Science, Engineering or a related field or equivalent work experience
6+ years of experience in software development, preferably with Scala, Java, or Python
3+ years of experience working in Hadoop/Spark
Proven expertise in taking large data projects from conception to implementation
Substantial experience with Event-driven architecture design patterns and practices
Significant experience in database design and architecture principles, and expert-level SQL abilities
Extensive experience with:
Google Cloud (BigQuery, DataProc, Cloud Sql, AppEngine, PubSub)
BigQuery, Cassandra, Bigtable, or other big data stores
Python and Java/Scala
Event platforms such as Kafka
ETL tools and processes (Airflow/Cloud Composer or other similar tools)
Agile (Kanban or Scrum) development experience
Nice to have:

Experience working with Data Science/Machine Learning
Experience in working with Geospatial data, GIS, mapping, routing
Autonomous vehicles