Staff Architect, ML Platform

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.As a Staff Machine Learning Architect, you will have the opportunity to shape the vision and strategy for the Lucid Machine Learning Platform, as well as make significant technical contributions towards its realization.
 
This hands-on role will blend a passion for data science and advanced analytics with the engineering rigor required to implement a machine learning platform to enable the model lifecycle at Lucid.
 
The machine learning platform at Lucid encompasses the following areas:
·Feature extraction and storage
·Model training and management
·Model deployment, maintenance, and monitoring
 
The overarching vision of the ML Platform at Lucid is to create an ecosystem that can empower Data Scientists in their efforts to transform the rich sensory experience of the Lucid vehicles into valuable insights and products for customers and internal teams alike.


Responsibilities:

• Evaluate and augment existing machine learning capabilities across the entire model lifecycle.
• Support the vision and strategy for the Lucid Machine Learning platform from, through practical system design and platform architecture.
• Hands-on implementation and validation of platform architecture, leveraging open source and in-house technology solutions.
• Forge close relationships with the senior engineering community to drive impactful projects which require cross functional partnerships across Data Science, Data Engineering, and Cloud Infrastructure teams.
• Collaborate with Data Scientists to understand, automate and onboard machine learning workloads on the platform.

Qualifications:

• Degree in computer science or adjacent field, with concentration in Machine Learning/AI, Distributed Systems, etc.
• Programming experience with at least one scripting language (Python, R, Julia, etc) and one systems language (Scala, Go, Rust, Java, C/C++, etc.)
• Strong engineering fundamentals in software design, version control, continuous integration and delivery, testing, containers and orchestration, monitoring and logging
• 5+ years of industry experience as a hands-on, expert-level practitioner of Data Science and Machine Learning [Involved in activities such as model development, distributed training, pipeline development, hyperparameter optimization, model deployment, etc.]
• 3+ years of experience as a core technical staff on large ML infrastructure/platform initiatives in a production environment.
• Familiarity with tools and technologies in the machine learning ecosystem for Data Storage (Hive, Cassandra, Snowflake, MySQL, etc.), Data Pipelines (Kafka, Airflow, Prefect, etc.), Data Processing (Spark, TensorFlow, PyTorch, CUDA, etc.)
• Cloud Platform awareness in AWS, Azure, GCP or OCI
• Solid understanding of the latest developments of ML systems, techniques, open-source, and cloud offerings.
• Familiarity with working in Linux-based systems and cloud computing resources.
• Strong written and verbal communication skills.

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