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Machine Learning Engineer

Crossinghurdles — Australia · Posted ~6 hours ago

Contract Remote Visa History ✓ $100-$150/hour

Skills

Machine learning Python Machine learning frameworks Model development Training pipelines Inference systems Data pipelines Evaluation systems Numerical methods Command-line tools Performance optimization Distributed systems Debugging

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Summary ✨ AI‑Generated

A remote contract opportunity for an experienced machine learning engineer working on models, training and inference systems, data pipelines, evaluation infrastructure, and numerical methods. You will optimize performance across latency, throughput, memory, and hardware utilization while diagnosing complex distributed-system and numerical issues. A master's degree or PhD in a quantitative technical field is required.

Highlights

Fully remote contract work with flexible 10–40 hour weekly commitment and strong compensation. The role offers technically challenging work across model development, inference, performance optimization, numerical debugging, and distributed systems.

Description

Position: ML Engineer Type: Contract Compensation: $100 - $150/hour Location: Remote Commitment: 10-40 hrs/week Role Responsibilities Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.Implement model components, data pipelines, evaluation systems, and numerical methods.Build reproducible programmatic workflows using Python and command-line tools.Optimize training or inference for latency, throughput, memory usage, and hardware utilization.Diagnose numerical instability, incorrect tensor behavior, memory bottlenecks, distributed-system failures, and performance regressions. Requirements A master s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.Strong professional or research experience in machine learning.Practical proficiency with Python.Meaningful experience with at least two relevant ML frameworks, libraries, or inference tools.Ability to debug ML systems beyond surface-level API usage. Application Process Easy Apply on LinkedInCheck email for next stepsParticipate in resume evaluation & interview stage