Staff Software Engineer, AI and Data Technology

Job not on LinkedIn

September 2

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+2 more states

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote ☕ Washington – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Omada Health

WebsiteLinkedInAll Job Openings

Healthcare Insurance • Wellness • SaaS

Omada Health is a virtual care company focused on helping individuals achieve their health goals through personalized support and programs. The company offers comprehensive health management solutions for conditions like diabetes, hypertension, and musculoskeletal health. Omada provides one-on-one health coaching and smart devices to monitor and improve health, creating personalized care plans for its users. Its programs are designed to be accessible at no cost to participants when covered by their employer or health plan, making Omada a leader in delivering quality virtual care that is both personal and sustainable.

201 - 500 employees

Founded 2011

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

💰 $192M Series E on 2022-02

📋 Description

• 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. • 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. • Not responsible for executing analyses, building machine learning models, or performing data transformations, but instrumental in creating the technological foundation that empowers these functions. • Drive the design, development, and deployment of scalable AI and data platforms, focusing on reliable infrastructure for analytics and AI/ML workloads 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, align on requirements, and ensure platforms enable data-driven decision-making. • Evaluate, adopt, and integrate state-of-the-art tools, frameworks, and technologies to optimize platform performance, scalability, and cost-efficiency. • 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.

🎯 Requirements

• 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 (e.g., TensorFlow Serving, NVIDIA Triton), feature stores (e.g., Feast, Hopsworks), and experimentation platforms (e.g., MLflow, Kubeflow). • Expertise in designing and implementing data architectures, including data lakes, warehouses, and real-time processing systems. • Experience with cloud-based data and AI platforms (e.g., AWS, Azure, GCP) and associated tools. • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) and their integration into production environments. • Knowledge of distributed computing technologies (e.g., Spark, Kubernetes) 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.

🏖️ Benefits

• 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 • ...and more!