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Senior Software Engineer - ML Infrastructure
Senior Software Engineer - ML InfrastructureBaseTen • Salida, CA, United States
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Senior Software Engineer - ML Infrastructure

Senior Software Engineer - ML Infrastructure

BaseTen • Salida, CA, United States
3 days ago
Job type
  • Full-time
Job description

About Baseten

At Baseten, we provide the essential infrastructure, tools, and expertise needed to quickly bring exceptional AI products to market. Backed by prominent investors such as IVP, Spark Capital, Greylock, and Conviction, we are trusted by leading AI innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to ensure industry-leading performance, security, and reliability for their critical workloads. With our recent $75M Series C funding, we are rapidly growing to make AI accessible across all products.

The Role

As a Senior Software Engineer focused on ML Infrastructure at Baseten, you will take the lead in architecting and developing our machine learning inference platform that powers production AI applications. You will be instrumental in making key technical decisions related to the infrastructure that enables developers to effectively deploy, scale, and monitor ML models with optimal performance and reliability.

Example Initiatives

  • Managing multi-cloud capacity effectively
  • Implementing inference on B200 GPUs
  • Facilitating multi-node inference
  • Utilizing fractional H100 GPUs for efficient model serving

Responsibilities

  • Design and build scalable infrastructure systems for our ML inference platform
  • Optimize Kubernetes deployments for cost-effective and efficient model serving
  • Enhance our inference orchestration layer for complex model deployments
  • Establish monitoring strategies for model performance, latency, and resource utilization
  • Develop advanced solutions for GPU capacity management and throughput optimization
  • Set infrastructure automation standards to streamline ML deployment processes
  • Collaborate with other engineers to convert complex inference requirements into practical technical solutions
  • Make critical architectural decisions while balancing performance and system reliability
  • Lead technical discussions and mentor junior engineers on best practices in infrastructure
  • Contribute to the long-term technical strategy and infrastructure roadmap
  • Requirements

  • Bachelor's degree or higher in Computer Science or a related field
  • 5+ years of experience in building production infrastructure systems
  • Expert-level proficiency in Go, with Python experience being a plus
  • Deep expertise in Kubernetes within production environments
  • Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) is a plus
  • Advanced understanding of distributed systems concepts and performance tuning
  • Proven experience in designing observability systems
  • A track record of leading technical initiatives and mentoring engineers
  • Experience with ML / AI workloads and MLOps platforms is highly valued
  • Benefits

  • Competitive compensation package including flexible PTO, 401k, and covered healthcare premiums
  • An extraordinary opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields today
  • An inclusive and supportive work culture that encourages learning and growth
  • Exposure to a variety of ML startups, facilitating unparalleled learning and networking opportunities
  • Apply now to embark on a rewarding journey to shape the future of AI! If you are a motivated individual with a passion for machine learning and a desire to join a collaborative and forward-thinking team, we would love to hear from you.

    At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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    Senior Software Engineer Infrastructure • Salida, CA, United States

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