Remote Senior Software Engineer, ML Infrastructure

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Description:

  • Standard Bots is seeking a Senior Software Engineer to build and scale infrastructure supporting AI development and deployment.
  • The role involves applying distributed systems and DevOps expertise to cutting-edge AI/ML applications.
  • Responsibilities include designing and implementing scalable infrastructure for the AI deployment pipeline, building and maintaining distributed compute clusters, optimizing resource allocation, and automating AI deployment workflows.
  • The engineer will scale cloud infrastructure focusing on distributed GPU training coordination, data compression, and cost optimization across cloud providers.
  • The position requires designing observability systems to monitor system health and resource utilization, as well as collaborating with ML engineers to address infrastructure needs.
  • Experience with AI or robotics is not required; the company is looking for experienced engineers ready to transition into the AI/robotics space.

Requirements:

  • Candidates must have 5+ years of software engineering experience; DevOps or ML Ops experience is a plus.
  • A proven track record with data pipelines and distributed systems is required.
  • Experience with cloud platforms such as AWS, GCP, or Azure, and container orchestration using Kubernetes is necessary.
  • An interest in ML/AI infrastructure is important, although deep ML expertise is not required.

Benefits:

  • The salary range for this role is between $170,000 to $210,000, with compensation packages tailored to seniority and skill level.
  • All Full-Time Employees are eligible for Employee Stock Options.
  • The benefits package includes paid time off, medical, dental, and vision insurance, life insurance, disability insurance, and a 401(k) plan for regular full-time employees.
Apply now
Please, let Standard Bots know you found this job on RemoteYeah . This helps us grow 🌱.
About the job
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$ 170,000 - 210,000 USD / year
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