About the Role
The role involves designing and maintaining scalable backend services that support AI features, collaborating closely with data scientists and product teams to integrate machine learning models into production systems, and ensuring reliability, performance, and data integrity across distributed environments.
Responsibilities
- Design and implement backend systems that support AI and machine learning workflows
- Develop APIs and services for real-time data processing and model inference
- Collaborate with data science teams to productionize machine learning models
- Optimize system performance and scalability for high-throughput applications
- Ensure data consistency and integrity across distributed systems
- Write clean, maintainable, and well-tested code
- Troubleshoot and resolve production issues quickly
- Participate in system architecture planning and technical decision-making
- Work closely with frontend engineers to deliver seamless integrations
- Improve observability and monitoring across backend services
- Maintain security and compliance standards in data handling
- Contribute to database design and query optimization
- Support deployment pipelines and infrastructure automation
- Evaluate new technologies and tools for backend improvements
- Document systems and share knowledge across engineering teams
Nice to Have
- Master’s degree in Computer Science or related field
- Experience with machine learning model deployment and serving
- Familiarity with TensorFlow, PyTorch, or similar frameworks
- Background in data pipelines and ETL systems
- Exposure to MLOps practices and tooling
- Contributions to open-source projects
- Experience in fast-paced startup environments
- Prior work on AI-powered analytics platforms
Benefits
- Comprehensive health, dental, and vision insurance
- 401(k) plan with company matching
- Unlimited paid time off policy
- Generous parental leave
- Annual learning and development stipend
- Flexible work schedule
- Remote work support
- Stock option grant
- Wellness reimbursement
- Team offsites and company retreats
Compensation
$180,000 – $220,000 base salary, plus equity and benefits
Work Arrangement
Hybrid with primary office in San Francisco
Team
Small, fast-moving team focused on AI-driven product innovation
About the AI Initiative
This role is central to an emerging AI platform that transforms user feedback into actionable insights using natural language processing and predictive modeling. The engineer will help shape the infrastructure that powers intelligent features across the product suite.
Engineering Culture
The team values technical excellence, rapid iteration, and collaborative problem-solving. Engineers are expected to lead projects, mentor peers, and contribute to long-term architectural vision while maintaining agility in execution.
Available for qualified candidates
