E
Earthspecies3mo ago
USD 225500–235500/yr

Senior Infrastructure Engineer (Backend/Data Performance)

RemoteFull-timesenior
EngineeringData ScienceBackend EngineeringDevOps & InfrastructureInfrastructure EngineerDevops EngineerInfrastructure & Cloud
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Quick Summary

Overview

About Earth Species Project Earth Species Project (ESP) is a non-profit using AI to decode animal communication to find new ways of listening to and learning from the rest of nature.

Technical Tools
awsazurebigquerydockergcpgrafanakubernetesprometheuspythonpytorchreactsparkterraformdistributed-systemsetlmachine-learningmentoringsystem-design
About Earth Species Project

Earth Species Project (ESP) is a non-profit using AI to decode animal communication to find new ways of listening to and learning from the rest of nature. Our ultimate goal is to drive a renewed relationship with the rest of nature that allows the diversity of life to thrive. 

ESP partners with biologists and machine learning researchers at leading universities and institutions around the world, and we are honored to be supported by many forward-looking philanthropists and groups, including Reid Hoffman, Waverley Street Foundation, the Paul G Allen Family Foundation and the National Geographic Society.

About the role

We're looking for a Senior Infrastructure Engineer (Backend/Data Performance) to help us build the foundational pipelines that power Earth Species Project's mission to understand animal communication with advanced AI. You’ll design and optimize scalable systems that let our researchers experiment faster, with production-quality reliability.

Your work will focus on data infrastructure and backend performance, creating pipelines and storage layers that can handle diverse species data at scale. You’ll collaborate closely with researchers, engineers, and external partners to make complex AI workflows simple, efficient, and reliable.
  • Design and optimize high-performance data pipelines for distributed training and storage (using tools like Arrow, DuckDB, LanceDB, BigQuery, vector databases).
  • Focus on low-level optimizations (latency, throughput, reliability, GPU usage).
  • Build monitoring and visualization tools for tracking data quality, pipeline performance, and experiments.
  • Optimize distributed AI workloads for reliability, latency, and efficiency.
  • Scope and supervise projects so that interns, PhD students, and post-docs can contribute and collaborate effectively.
  • Support recruiting efforts and help shape the growth of the infrastructure team.
  • 5+ years of backend or infrastructure engineering experience
  • Strong Python programming skills (bonus points for lower-level languages)
  • Experience with distributed systems and cloud platforms (AWS, GCP, Azure)
  • Hands-on experience with containerization (Docker, Kubernetes) and infrastructure as code (Terraform)
  • Experience building or supporting ML/AI infrastructure in production
  • Experience with high-performance data tools (DuckDB, Apache Spark, Delta Lake)
  • GPU orchestration and large-scale model training experienceFamiliarity with ML platforms (SageMaker, Vertex AI) and frameworks (PyTorch, JAX)
  • Experience mentoring junior engineers, interns, or researchers and breaking down complex projects into manageable tasks
  • Experience participating in technical hiring processes and evaluating candidates
  • Have deep knowledge of training architectures, CUDA programming, or TPU optimization
  • Have Full-stack development experience with frameworks like
  • React for building web applications
  • Experience managing HPC infrastructure with tools like Slurm or Kubernetes clusters
  • Background in monitoring stacks (Prometheus, Grafana) for ML pipeline observability
  • Initial interview: 30-minute discussion to align on experience and expectations
  • Technical screening: Two interviews and a take home exercise covering coding and system design
  • Panel interview: Assess team alignment
  • Final interview: Conversation with our Chief Scientist

    • Location & Eligibility

    Where is the job
    Worldwide
    Fully remote, anywhere in the world
    Who can apply
    Same as job location
    Listed under
    Worldwide

    Listing Details

    Posted
    January 29, 2026
    First seen
    March 26, 2026
    Last seen
    May 13, 2026

    Posting Health

    Days active
    47
    Repost count
    0
    Trust Level
    43%
    Scored at
    May 13, 2026

    Signal breakdown

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    Senior Infrastructure Engineer (Backend/Data Performance)USD 225500–235500
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