Omada Health-posted 4 months ago
$202,400 - $253,000/Yr
Full-time • Senior
501-1,000 employees

The Staff Software Engineer for AI and Data Technologies will play a critical role in advancing our platform and enablement capabilities for analytics, data science, and AI initiatives. This role is focused on designing and building scalable, efficient, and robust platforms and architectures to support analytics, machine learning, and data-driven decision-making across the organization. While the role is not responsible for executing analyses, building machine learning models, or performing data transformations, it is instrumental in creating the technological foundation that empowers these functions.

  • Drive the design, development, and deployment of scalable AI and data platforms.
  • Build and maintain reliable infrastructure for analytics and AI/ML workloads, leveraging best practices in MLOps/LLMOps, automation, and cloud-native technologies.
  • Architect and implement robust, secure, and high-performance systems for data ingestion, storage, processing, and model lifecycle management.
  • Collaborate with analytics, data science, and machine learning teams to anticipate challenges and align on requirements.
  • Evaluate, adopt, and integrate state-of-the-art tools, frameworks, and technologies to optimize platform performance.
  • Provide leadership and mentorship to engineers across teams, fostering skill development in AI and data enablement.
  • Establish and enforce best practices for platform engineering, including data security, privacy, compliance, and governance standards.
  • 8+ years of experience in software engineering, with a focus on building platforms for analytics, data science, and AI.
  • Strong programming skills in languages such as Python, Java, Scala, or similar.
  • Experience with AI-specific infrastructure, including model serving, feature stores, and experimentation platforms.
  • Expertise in designing and implementing data architectures, including data lakes, warehouses, and real-time processing systems.
  • Experience with cloud-based data and AI platforms and associated tools.
  • Familiarity with machine learning frameworks and libraries and their integration into production environments.
  • Knowledge of distributed computing technologies and their applications in data engineering and AI.
  • Knowledge of MLOps/LLMOps practices and tools for managing AI and data pipelines.
  • Demonstrated ability to lead technical projects from concept to delivery.
  • Excellent problem-solving skills and ability to navigate complex technical challenges.
  • Strong collaboration and communication skills to work effectively with cross-functional teams.
  • Familiarity with data governance and compliance frameworks.
  • Knowledge of BI and reporting tools and their integration with data platforms.
  • Competitive salary with generous annual cash bonus
  • Equity grants
  • Remote first work from home culture
  • Flexible vacation to help you rest, recharge, and connect with loved ones
  • Generous parental leave
  • Health, dental, and vision insurance (and above market employer contributions)
  • 401k retirement savings plan
  • Lifestyle Spending Account (LSA)
  • Mental Health Support Solutions
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