ML Engineer | $100-150/hr

Hirely is recruiting Machine Learning Engineers on behalf of a hiring partner. You'll contribute to AI training projects involving model development, training and inference systems, numerical computing, performance optimization, and Python.
The work focuses on building, solving, reviewing, and validating challenging machine-learning engineering tasks for advanced AI systems. You may work on model components, training or inference pipelines, performance optimization, debugging, and objective testing.
What You'll Do
Develop and validate machine-learning models, training pipelines, and inference systems
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 workloads 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 determine whether results are correct and reproducible
Review AI-generated code and technical solutions for correctness, efficiency, and engineering quality
Design objective tests, benchmarks, and verification criteria
Document technical decisions, trade-offs, limitations, and failure modes
Who We're Looking For
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a related quantitative field
Strong professional or research experience in machine learning
Strong proficiency in Python
Meaningful experience with at least two modern ML frameworks, libraries, or inference tools
Strong understanding of model training, evaluation, numerical computation, or inference
Ability to debug ML systems beyond surface-level API usage
Experience building reproducible technical workflows
Strong understanding of performance optimization and ML system behavior
Ability to clearly explain implementation decisions, technical trade-offs, and failure modes
Experience at a recognized technology company, AI laboratory, research organization, or comparable engineering environment is strongly preferred
Exceptional open-source or academic experience may also qualify
Relevant Technologies
PyTorch, JAX, NumPy, SciPy, SGLang, vLLM, llama.cpp, Hugging Face Transformers, Hugging Face Tokenizers
Equivalent tools may also be considered when candidates demonstrate directly relevant technical depth.
Compensation & Terms
$100-150/hour, independent contractor
Fully remote
Approximately 15 hours/week
Flexible schedule
Output-based compensation; experts are paid per qualifying task
Minimum submission requirements apply
Projects may vary based on workload and performance
Candidates should be ready to begin shortly after completing onboarding
How To Apply
Apply through the link. The process includes:
Screening questions
Approximately 30-minute AI interview
Technical assessment, if required
Hiring manager review
About Hirely
Hirely connects professionals with remote opportunities from hiring partners across artificial intelligence, software engineering, cloud, data, research and other specialised fields. Hirely acts as a recruitment and talent-sourcing partner for the hiring companies it represents. Final hiring decisions, onboarding, compensation and project assignments are determined by the hiring partner.

Work arrangement
No