Remote Machine Learning Operations Engineer

Summary

Join our dynamic global team as a Machine Learning Operations Engineer and apply cutting-edge data engineering and machine learning techniques to hard challenges in the fields of bioacoustics, animal communication, and conservation.

Requirements

• Advanced degree in Computer Science, Data Science, Machine Learning, or a related field
• Co-authored publications at top AI conferences such as NeurIPS, ICML, ICLR, AAAI
• Experience with training large ML models on large datasets, including data and model parallelization and foundation models
• Strong experience in infrastructure building and software development using Python
• Proven experience in developing large-scale data collection and processing pipelines
• Expertise in deploying ML and deep learning models at scale
• Familiarity with major ML frameworks such as PyTorch, TensorFlow, and/or JAX
• Experience with cloud infrastructure providers like GCP, Azure, AWS
• Strong problem-solving abilities and creativity
• Excellent communication skills, capable of explaining complex concepts to non-technical audiences
• Experience in a fast-growing startup environment with leadership potential

Responsibilities

• Oversee ESP's ML infrastructure, maximizing performance
• Evaluate hosting options, negotiate with providers, and configure infrastructure (cloud-based, on-premise, or a hybrid model)
• Work closely with machine learning scientists and biologist/ecologist partners to support the implementation of ML models in the study of non-human communication
• Build and manage data scraping and processing pipelines for large-scale machine learning model training
• Conduct R&D to retrain, optimize, scale-up, and deploy ML models, converting them to portable formats like ONNX
• Maintain a unified code base for data processing, ML training, and analysis tools
• Translate complex research into practical demo applications for bioacoustic data analysis
• Stay updated with the latest advancements in machine learning and explore their applications within the organization

Preferred Qualifications

• Familiarity with bioacoustics or animal communication
• Passion for environmental science and conservation
• Experience with Python audio processing libraries like librosa or torchaudio

Benefits

• $155,000-185,000 USD depending on the level of seniority
• 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