Software Engineer, Machine Learning Infrastructure
San Francisco, CA$140k - $230kFull-timePosted 11mo ago
About the role
Role within David AI's engineering team building pipelines, platforms, and models to transform raw audio into high-signal data. Responsible for core ML infrastructure to train, deploy, and evaluate models, with production-grade reliability and scalable data processing.
Responsibilities
- Design and maintain data pipelines for processing massive audio datasets, ensuring terabytes of data are managed, versioned, and fed into model training efficiently.
- Develop frameworks for training audio models on compute clusters, managing cloud resources, optimizing GPU utilization, and improving experiment reproducibility.
- Create robust infrastructure for deploying ML models to production, including APIs, microservices, model serving frameworks, and real-time performance monitoring.
- Apply software engineering best practices with monitoring, logging, and alerting to guarantee high availability and fault-tolerant production workloads.
- Translate research prototypes into production pipelines, working with ML engineers and data teams to support efficient data labeling and preparation.
- Evaluate and integrate new MLOps technologies and optimization techniques to enhance infrastructure velocity and reliability.
Qualifications
- 5+ years of backend engineering with 2+ years ML infrastructure experience.
- Hands-on experience scaling cloud infrastructure and large-scale data processing pipelines for ML model training and evaluation.
- Proficient with Docker, Kubernetes, and CI/CD pipelines.
- Proven ML model deployment and lifecycle management in production.
- Strong system design skills optimizing for scale and performance.
- Proficient in Python with deep Kubernetes experience.
Skills
Required:Backend engineeringML infrastructureDockerKubernetesPython
Benefits
- Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry.
- Competitive salary and equity package.
- Flexible PTO policy.
- Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.
- Paid lunch and dinner in the office, every day through DoorDash.
- 401k access.
Last updated Oct 21, 2026. Interested? Apply on the company site.
About David AI
Data for audio AI
ai-infrastructure-and-developmentwing-list-2026wing-list-2026-mid-stage
More open roles at David AI
- Deployment Strategist4d agoOperations
- Head of Quality Assurance Operations1w agoHybrid (Remote (US)) · Operations
- Chief of Staff to the CEO1w agoHybrid (San Francisco, CA) · Operations
- General Manager, Marketplace2w agoHybrid (San Francisco / New York City) · Operations
- Talent Acquisition & People Operations3w agoHybrid (San Francisco) · People & Talent