17 sep
|
Synthires
|
España
ML Engineer
Position:
ML Engineer
Type:
Contractor (Part-Time)
Compensation:
$100–$150/hour
Location:
General, Fully Remote
About the Opportunity
micro1 is seeking highly skilled Machine Learning Engineers and Researchers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python. The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks.
You may work on implementing or modifying models, building reproducible training and inference workflows, optimizing memory and throughput, debugging numerical or system-level failures, and verifying implementations against objective correctness and performance requirements. This opportunity is designed for experienced professionals with practical understanding of the systems underlying modern ML frameworks and APIs.
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.
- Work with tensor operations, automatic differentiation, model architectures, tokenization, batching, and generation.
- Optimize training and inference systems for latency, throughput, memory usage, and hardware utilization.
- Diagnose numerical instability, incorrect tensor behavior, memory bottlenecks, distributed-system failures, and performance regressions.
- Compare model implementations and verify that results are correct, reproducible, and performant.
- Review AI-generated code and technical solutions for correctness, efficiency, and engineering quality.
- Design objective tests, benchmarks, and verification criteria for ML systems.
- Document technical decisions, trade-offs, implementation details, and limitations clearly.
Required Qualifications
- Mast
📌 ML Engineer (España)
🏢 Synthires
📍 España