Calendly
Senior Machine Learning Engineer
Rol remoto de Engineering con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Senior Machine Learning Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- Builds new AI products for Calendly’s customers, bringing new capabilities to life.
- Works closely with product, design, marketing, customer success, and engineering teams to implement AI solutions to real customer problems.
- Drives innovation and makes an impact.
- Own AI powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics.
- Understand and share domain knowledge, answering domain specific questions for your product area and documenting what you learn for the team.
- Prioritize your work independently, balancing feature development, quality, and maintenance, and communicating tradeoffs clearly.
- Proactively seek and offer support to teammates pairing, reviewing, and collaborating to move projects forward.
- Understand and troubleshoot our deployment pipelines, including build, test, and release steps for ML services and data pipelines.
- Use our monitoring and observability tools to effectively triage alerts and incidents, collaborating with partners to restore service and prevent recurrence, and participate in the team’s on-call rotation and incident response.
- Serve as a subject matter expert for the features and services you own, including their data contracts, SLAs, and dependencies.
- Be a frequent user of AI Tools and champion of adoption to the rest of the company.
- 6+ years of industry experience in applied AI/ML and software engineering with a demonstrated track record of shipping and operating AI /ML applications in production.
- Experience working on GenAI products architecture/system design and implementation.
- Hands-on experience implementing AI/ML solutions for high-traffic, low-latency, large-data applications that produced tangible impact for end users.
- Understanding of foundation models and the open-source ecosystem, including model fine-tuning and prompt engineering for real product use cases.
- Strong programming (Python / Scala / Java / SQL etc) and data engineering skills.
- High level of ownership, and the ability to find a way to success.
- You have strong verbal and written communication skills.
- Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
- Tier 1: San Francisco, CA, San Jose, CA, New York City, NY
- Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA.
- Tier 3: All other locations not in Tier 1 or Tier 2
Roles similares
Mantén una lista de respaldo.
Stack
Usa estas tags para comparar roles remotos similares.
Elegibilidad de ubicación
Candidatos deberían aplicar solo cuando el país del perfil aparece aquí.
Tu perfilPaís no definidoInicia sesión para comparar tu país con este rol.
Flujo de contratación
WithMira muestra el rol y luego envía candidatos a la aplicación de la empresa.
1Revisa fit del rol, stack y elegibilidad de ubicación en WithMira.
2Abre la página de aplicación de la empresa desde el link rastreado.
3Guarda el rol o suscríbete a oportunidades similares antes de salir.