Senior Machine Learning Data Engineer
Los Angeles, California, United States
Full Time Senior-level / Expert USD 140K+
Metropolis
Metropolis transforms the parking experience with a computer vision platform that enables checkout-free payment.The Company
Metropolis develops advanced computer vision and machine learning technology that makes mobile commerce remarkable. Our platform is already deployed in hundreds of mobility facilities and industries with billions in opportunity. We’re building the digital pipes through which the future of mobile commerce will move.
The Role
Metropolis is seeking a Senior Machine Learning Data Engineer to play a crucial role in architecting, implementing, and managing our ML data ecosystem to support advanced machine learning initiatives. You will be a thoughtful hands-on leader who operates based on principles and establishes best practices. While you are expected to be adept at making technical decisions, your responsibility is beyond just implementation – you will be influencing strategic decisions, mentoring engineers around you, and elevating the team through examples.
Responsibilities
- Design, build, and maintain robust, scalable data pipelines that support ML model development and deployment.
- Ensure efficient data storage, retrieval, and management practices that support real-time and batch processing needs.
- Work closely with ML engineers and data scientists to understand their data requirements and implement solutions that enable effective ML model training and evaluation.
- Develop and enforce policies for data quality, security, and compliance, ensuring integrity.
- Monitor and optimize the performance of data pipelines and key metrics to ensure efficient operation in production environments.
- Stay ahead of emerging technologies and methodologies in data engineering and machine learning.
- Mentor junior team members and elevate the team through knowledge sharing.
Requirements and Qualifications
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
- Minimum of 5 years of experience in a Data Engineering role, with at least 2 years focused on ML data engineering.
- Proven experience in designing and implementing large-scale data pipelines and architectures.
- Strong programming skills in Python or Scala and proficiency with SQL.
- Experience building batch and streaming ingestion data pipelines for structured and unstructured data (text, images).
- Experience with data warehousing solutions (Snowflake, Databricks), feature stores, ETL tools (Airflow, Mage AI, DBT etc), and data modeling practices.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure, Google Cloud Platform).
- Excellent problem-solving, analytical, and communication skills.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $140,000.00 to 190,000.00 hourly. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.
Tags: Airflow Architecture AWS Azure Big Data Computer Science Computer Vision Databricks Data pipelines Data quality Data Warehousing dbt Engineering ETL GCP Google Cloud Hadoop Machine Learning ML models Model training Pipelines Python Scala Security Snowflake Spark SQL Streaming Unstructured data
Perks/benefits: Career development Equity Insurance
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 Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Scientist II jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs