Machine Learning Engineer | $14/hr Remote

At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models.

Organization:

Position:

Type:

Compensation:

Location:

Commitment:

Role Responsibilities:

• Design and implement scalable ML pipelines for model training, evaluation, and continuous improvement.
• Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making.
• Collaborate with data scientists to collect and preprocess training data, ensuring quality and representativeness.
• Develop benchmarking tools that test models across reasoning, accuracy, and speed dimensions.
• Implement reinforcement learning loops and self-improvement mechanisms for agent training.
• Work with systems engineers to optimize inference speed, memory efficiency, and hardware utilization.
• Maintain model reproducibility and version control, integrating with experiment tracking systems.
• Contribute to cross-functional research efforts to improve learning strategies, fine-tuning methods, and generalization performance.

Ideal Qualifications:

• Strong background in machine learning, deep learning, or reinforcement learning.
• Proficient in Python and familiar with frameworks such as PyTorch, TensorFlow, or JAX.
• Understand training infrastructure, including distributed training, GPUs/TPUs, and data pipeline optimization.
• Can implement end-to-end ML systems, from preprocessing and feature extraction to training, evaluation, and deployment.
• Comfortable with MLOps tools (e.g., Weights & Biases, MLflow, Docker, Kubernetes, or Airflow).
• Experience designing custom architectures or adapting LLMs, diffusion models, or transformer-based systems.
• Ability to critically think about model performance, generalization, and bias, with a data-driven approach to experimentation.
• Curious about AI agents and human-like reasoning, problem-solving, and collaboration.

Application Process (Takes 20 min):

• Upload resume
• AI interview based on your resume (15 min)
• Submit form