Senior Infrastructure Engineer – Backend, Data Performance

Job not on LinkedIn

🕒 January 29

🇺🇸 United States – Remote

💵 $225.5k - $235.5k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Earth Species Project

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2018

🤖 Artificial Intelligence

🔬 Science

🤝 Non-profit

Artificial Intelligence • Science • Non-profit

Earth Species Project is a non-profit organization focused on using artificial intelligence to decode non-human communication. The organization is dedicated to understanding the languages of various species, which it believes can transform human relationships with nature and support conservation efforts. Through innovative AI-driven techniques, Earth Species Project aims to unlock communication with other species, revolutionizing the study of animal behavior and contributing to biodiversity conservation. Their cutting-edge projects involve generating and interpreting animal vocalizations, such as those of whales and crows, to better understand their communication and cognitive capabilities.

📋 Description

• 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.

🎯 Requirements

• 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 experience • Familiarity 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

🏖️ Benefits

• Medical insurance, dental insurance, and vision insurance - ESP covers 100% of the premium • 401k plan with match (if based in the United States) • 2,000 USD 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