Crossing Hurdles · 1 week ago
Machine Learning Engineer | Remote
Crossing Hurdles is seeking a Machine Learning Engineer to work on various machine learning tasks remotely. The role involves drafting plans, implementing code solutions, and improving model performance while working independently within structured workflows.
Staffing & Recruiting
Responsibilities
Draft detailed natural-language plans and implement code solutions for machine learning tasks
Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments
Identify failure modes in ML and LLM-generated workflows and apply corrective “golden patches.”
Contribute to benchmarking efforts focused on improving model performance and training efficiency
Work independently within structured workflows while delivering measurable, high-quality outputs
Qualification
Required
Strong experience as an early-career Machine Learning Engineer or completion of advanced academic training (PhD in Computer Science with ML coursework)
Proficiency in Python and common ML libraries such as XGBoost, TensorFlow, scikit-learn, or similar frameworks
Experience with data preparation, model training, evaluation, and debugging ML workflows
Ability to reason clearly about ML system behavior and document solutions effectively
Strong attention to detail and comfort working in a remote, asynchronous environment
Preferred
Prior contributions to ML benchmarks are a plus
Company
Crossing Hurdles
At Crossing Hurdles, we specialise in customised recruitment and staffing solutions designed to drive success for businesses and professionals.
Funding
Current Stage
Early StageCompany data provided by crunchbase