Mercor is seeking a Machine Learning Specialist to join their team remotely. The role involves designing and implementing scalable ML pipelines and building deep learning models.
About the Role
As a Machine Learning Specialist, you will be responsible for designing and implementing scalable ML pipelines for model training, evaluation, and continuous improvement. You will build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making. Collaboration with data scientists to collect and preprocess training data, developing benchmarking tools, and optimizing inference speed and memory efficiency will also be key responsibilities.
About You
Required:
Strong background in machine learning, deep learning, or reinforcement learning.
Proficiency in Python and familiarity with PyTorch, TensorFlow, or JAX.
Understanding of training infrastructure, including distributed training, GPUs/TPUs, and data pipeline optimization.
Experience with end-to-end ML systems, from preprocessing and feature extraction to training, evaluation, and deployment.
Comfort 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.
Benefits
Compensation of $14/hour.
Weekly Bonus of $500 - $1000 per 5 tasks created.
Mercor
We use AI to understand human ability and match talent with the opportunities they're best suited for.
Company Size: 51-200 employeesSoftware Development