Earth Species Project

Earth Species Project

Earth Species Project is a nonprofit organization focused on utilizing artificial intelligence to decode animal communication, aiming to enhance understanding of non-human languages and foster a transformative relationship with nature while contributin...

Professional Services
11-50
Founded 2018

Description

  • Design and optimize high-performance data pipelines for distributed training and storage.
  • Build and maintain scalable data storage layers for diverse species data.
  • Improve low-level system performance, including latency, throughput, reliability, and GPU utilization.
  • Develop monitoring and visualization tools for data quality, pipeline performance, and experiments.
  • Optimize distributed AI workloads for reliability, latency, and efficiency.
  • Collaborate closely with researchers, engineers, and external partners on complex AI workflows.
  • Scope and supervise projects so interns, PhD students, and post-docs can contribute effectively.
  • Support recruiting efforts and help shape the growth of the infrastructure team.

Requirements

  • 5+ years of backend or infrastructure engineering experience.
  • Strong Python programming skills; lower-level languages are a plus.
  • Experience with distributed systems and cloud platforms such as AWS, GCP, or Azure.
  • Hands-on experience with Docker, Kubernetes, and Terraform.
  • Experience building or supporting ML/AI infrastructure in production.
  • Experience with high-performance data tools such as DuckDB, Apache Spark, or Delta Lake.
  • Experience with GPU orchestration and large-scale model training.
  • Familiarity with ML platforms such as SageMaker or Vertex AI and frameworks such as PyTorch or 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.
  • Deep knowledge of training architectures, CUDA programming, or TPU optimization is preferred.
  • Full-stack development experience with frameworks like React is preferred.
  • Experience managing HPC infrastructure with tools like Slurm or Kubernetes clusters is preferred.
  • Background in monitoring stacks such as Prometheus or Grafana for ML pipeline observability is preferred.

Benefits

  • $225,500 - $235,500 annual salary.
  • Medical, dental, and vision insurance with 100% of premiums covered by ESP.
  • 401(k) plan with match for U.S.-based employees.
  • $2,000 home office stipend.
  • Unlimited paid time off with a recommended minimum of three weeks per year.
  • Flexible working hours.
  • Regular team retreats around the world.

Interested in this position?

Apply directly on the company website

Apply Now

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