Rad AI
Staff Software Engineer, Speech
United States - Remote · Staff+ · Full-time
Sponsorship not specifiedDetected 8 days ago
TypeScriptPythonReactFastAPIDistributed SystemsBackend DevelopmentFull-Stack DevelopmentPostgreSQLTerraformGrafanaWebSocketsMachine LearningNLPLLMsComplianceValuationCustomer SuccessHIPAAHL7/FHIRPatient CareRadiologyResearchLeadershipCommunication
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odds of building a lasting career here
28Risky
Cap-exempt (no lottery)0
Sponsors this role45
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.
- Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M.
- If you're ready to shape the future of healthcare, we'd love to have you on our team!
Responsibilities
- Act as technical lead for the Speech function: set direction, drive architecture decisions, and mentor engineers
- Partner with Research Scientists to take speech models from evaluation to production
- Build and evolve real-time audio capture and streaming in our React/TypeScript web application
- Design and operate the distributed Python backend services that power our speech platform
- 7+ years of industry experience developing audio or multimedia software
- Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care-making a meaningful impact on millions of lives.
- We're seeking a Staff Software Engineer with audio or multimedia experience to serve as technical lead for Speech at Rad AI.
- You'll set technical direction, mentor engineers, and partner with Research Scientists, Infrastructure, and Product to build a responsive, high-performance Speech Platform for radiologists.
Requirements
- Experience with ASR/STT, or ML-driven products such as speech recognition or NLP, from model evaluation (e.g. word error rate) through rollout and production monitoring
- Experience with relational and document based databases, as well as other large scale data storage paradigms
Skills
- Experience with browser audio APIs (Web Audio, AudioWorklet) and real-time audio streaming
- Strong experience with WebSockets and real-time client-server communication
- Experience building and operating distributed systems
- Comfortable debugging production issues with observability tools (e.g. Sentry, Grafana)
- Strong testing practices (unit and integration) and experience on distributed teams
- Experience with FastAPI, SQLAlchemy, and PostgreSQL
- Experience with Infrastructure as code, particularly Terraform
- Experience with spec-driven development and AI-assisted engineering tools (e.g. Claude Code)
- Experience in HIPAA-compliant environments, especially FHIR and HL7
- Experience working at startups
- Experience with 3rd-party integrations such as Auth0
- in-depth TypeScript/React and Python
Compensation
- Annual company-wide offsite
Benefits
- Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare.
- If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!
Company info
- ABOUT RAD AI At Rad AI, we're on a mission to transform healthcare with artificial intelligence.
- Founded by a radiologist, our AI-driven solutions are revolutionizing radiology-saving time, reducing burnout, and improving patient care.
- Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others-all backing our mission to empower physicians with cutting-edge AI.
This listing is sourced directly from Rad AI's careers page and normalized into a canonical job model.