Remote Lead Data/ML Engineer

Description:

• SuperAds is seeking a Lead Data/ML Engineer to design and optimize scalable data pipelines and integrate advanced machine learning models into production.
• In this role, you will work at the intersection of data engineering and AI, enabling marketers with cutting-edge creative analytics.
• You will operate with startup agility while leveraging the stability of Superside.
• Reporting directly to the CTO, you will play a pivotal role in building robust, cost-efficient systems that scale with rapid growth and revolutionize ad performance analysis.
• Your responsibilities include designing and maintaining scalable ETL pipelines for data integration from platforms like YouTube, Google Ads, and Pinterest, ensuring seamless data ingestion and high-quality results.
• You will optimize data syncing algorithms to handle large datasets efficiently, improving scalability and performance.
• Collaborating with AI researchers, you will transform machine learning models into production pipelines, delivering actionable insights in real time.
• You will implement automated testing, monitoring, and validation processes to ensure data reliability and accuracy.
• Managing and optimizing cloud infrastructure (e.g., AWS, GCP) will be part of your role, focusing on cost efficiency and resource scalability.
• You will build fault-tolerant systems to support high data volumes and ensure platform stability under heavy usage.
• Researching and adopting emerging technologies to continuously improve data workflows and ML deployment will be essential.
• You will troubleshoot and resolve technical challenges quickly and effectively.
• Working closely with product and engineering teams, you will align on technical goals and ensure seamless integration.
• Documenting best practices and mentoring junior engineers will foster knowledge sharing and team development.

Requirements:

• You must have 4+ years of experience in data engineering roles with expertise in building and maintaining complex ETL pipelines.
• Strong programming skills in Python are required, along with a deep understanding of system engineering and data infrastructure design.
• Experience deploying machine learning models in production environments and integrating them into scalable data pipelines is necessary.
• Proficiency with AI technologies such as PyTorch, TensorFlow, or Jax is a strong advantage.
• You should have solid knowledge of distributed systems, data modeling, and storage solutions for high-volume, real-time data.
• Familiarity with orchestration tools (Airflow, Temporal) and containerization (Docker, Kubernetes) for managing workflows is expected.
• Proficiency with cloud platforms like AWS, GCP, Snowflake, or Databricks, including cost-effective resource management, is required.
• Knowledge of ad-tech/mar-tech platforms and data integration from external APIs and large datasets is important.
• Strong problem-solving skills are essential, with the ability to troubleshoot complex data issues across pipelines and integrations.
• Excellent collaboration and communication skills are necessary, with comfort working in cross-functional teams.

Benefits:

• Superside offers a fully remote work environment, allowing you to work from anywhere.
• You will be part of a diverse team with over 700 members working across 57 countries and 13 time zones.
• The company promotes a culture of diversity, equity, and inclusion, considering all applicants regardless of ethnicity, appearance, religion, gender identity, sexual orientation, national origin, veteran, or disability status.
• You will have the opportunity to work with top 1% creative talent and purpose-built technology, contributing to innovative design solutions for ambitious brands.