Sr. Data, ML Engineer
Beaverton, OR
Applications have closed
Lucid Motors
With extraordinary design, performance, range, convenience, and utility, Lucid Gravity is the future of sustainable mobility, reimagining the luxury electric SUV.Senior Machine Learning and Data Engineer is responsible to build Machine learning applications, for both Vehicle and Operational data, building, training and running ML models. This hands-on role helps solve real big data problems, which most of the standard tools on the market are not capable of handling. You will be designing solutions, writing codes and automation, defining standards, and establish best practices across the company.
The Role
- Design and develop ML pipeline using PySprak, Scala, SQL or Python.
- Deployment of large scale ML pipeline using open source technologies such as Kubeflow, MLFlow, Airflow
- Drive predictive analytics from billions of time series data points
- Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations.
- Design and build the next generation of ML architecture that will power large-scale data science projects
- Adapt machine learning and data mining algorithms to solve problems across several teams
- Perform model training, hyper parameter tuning and model parallelization and distributed training to achieve top performance for accuracy and latency
- Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the challenge.
- Perform and streamline continuous model performance monitoring and debugging in production
- Use industry best practice tools and processes such as Data Lake, Delta Lake, S3, Spark ETL, Airflow, Hive Catalog, Ranger, Redshift, Spline, Kafka, MQTT, Timeseries Database, Cassandra, Redis, Presto, Kubernetes, Docker, CI/CD, DevOps
- Contribute to the overall architecture, implementation and ongoing maintenance of our codebase
- Translate big data and analytics requirements into data models that will operate at a large scale and high performance and guide the data analytics engineers on these data models.
Qualifications
- B.S. or M.S. degree n Computer Science, or equivalent degree
- 6+ years of hands-on experience in ML pipeline, ETL, data modeling processing
- 3+ years of hands-on experience in productionizing and deploying ML applications.
- Expert in Spark, Kafka, Presto, Kubeflow, Airflow, or similar technologies.
- Proficiency with machine/deep learning frameworks such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc
- Experience in creating production level ML models for training, validation, and inference leveraging real-time systems
- Experience with Kubernetes-based ML Architecture.
- Strong knowledge and understanding of machine learning pipelines from standardization, normalization, clustering, modeling, scoring, validation
- Understanding of ETL engineering and tools so you can interface with data integration teams
Preferred Qualifications
- Experience using Timeseries data
- Experience with automotive data
- Experience working with cloud-based accelerated computing, GPU/TPU, CUDA, parallel computing
Notice regarding COVID-19 protocols At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus all new Lucid employees, whose job will be based in the United States may or may not be required to provide original documentation confirming status as having received the prescribed inoculation (doses). Vaccination requirements are dependent upon location and position, please refer to the job description for more details. Individuals in positions requiring vaccinations may seek a medical and/or religious exemption from this requirement and may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Big Data Caffe Cassandra CI/CD Clustering Computer Science CUDA Data Analytics Data Mining Deep Learning DevOps Docker Engineering ETL GPU Kafka Keras Kubeflow Kubernetes Machine Learning MLFlow ML models Model training MXNet Open Source Pipelines Python PyTorch Redshift Scala Spark SQL TensorFlow
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