Manager, Machine Learning Platform
Newark, CA
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.The Role:
Lucid’s mission is to inspire the adoption of sustainable energy by creating the most captivating luxury electric vehicles, centered around the human experience. Working at Lucid Motors means having a shared vision to power the future in revolutionary ways. Be part of a once-in-a-lifetime opportunity to transform the automotive industry.
As a Manager within the Data science & Machine Learning team, you will have the opportunity to shape the vision and strategy for the Lucid data analytics and ML products, as well as make significant contributions towards building the data science and ML organization. In this role you will be blending a passion for data science, advanced analytics and ML with the engineering rigor and leadership skills required to build and deliver highly sophisticated AI services and products. The overarching vision for the tech lead manager is to create an ecosystem of inclusion, diversity, technical know-how and cross-functional collaboration that can empower data scientists, analysts, machine learning engineers and research scientists in their efforts to transform the rich database of the Lucid vehicles into valuable insights and products for customers and internal business or engineering teams alike.
Office location in Newark, CA, or Beaverton, OR
Key Responsibilities:
- Manage engineers and grow the team by hiring and finding great candidates, establishing, and maintaining team culture.
- Ensure high technical standards by instituting processes (architecture and design reviews, testing, and documentation) and culture (engineering excellence).
- Help define ML platform vision and technology and contribute to technical design of ML platform by leveraging state of the art technologies
- Define and shape the team vision and roadmap for Machine Learning team by working with machine learning engineers, data scientists, data engineering team, and cloud platform team.
Qualifications:
- Masters or PhD in computer science, mathematics, or engineering with 4+ years of data science, machine learning or software engineering experience.
- At least 4 years of experience programming with Python, Scala, Java or C/C++
- At least 2 years of experience leading teams developing ML platform and pipelines or data science solutions
- At least 2 years of experience with ML platform technologies such as Kubeflow, MLFlow, Pachyderm or other data science/ML pipeline or platforms.
- Proven ability in change management and conflict resolution
- Knowledge of underlying mathematical foundations of statistics and machine learning.
- Experience with cloud technologies and tech stack including but not limited to big data technologies (Spark, database systems, ETL, etc.), Kubernetes, Airflow.
- Excellent communication skills - strong verbal, written and presentation skills with the ability to articulate complex solutions and in a relatable way at all levels of the organization
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.
Tags: Airflow Architecture Big Data C++ Computer Science Data Analytics Engineering ETL Kubeflow Kubernetes Machine Learning Mathematics MLFlow PhD Pipelines Python Research Scala Spark Statistics Testing
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Business Data Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open PhD-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs