**About The Job** **Mercor** connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include **Benchmark** , **General Catalyst** , **Peter Thiel** , **Adam D'Angelo** , **Larry Summers** , and **Jack Dorsey** . **Position:** Machine Learning Engineer **Type:** **Contract** **Compensation:** **$14/hour** **Location:** **Remote** **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. **Qualifications** **Must-Have** - Strong background in machine learning, deep learning, or reinforcement learning. - Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or JAX. - Understanding of training infrastructure, including distributed training, GPUs/TPUs, and data pipeline optimization. - Experience 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. **Preferred** - Curiosity about AI agents and how models can simulate human-like reasoning, problem-solving, and collaboration. **Compensation & Legal** - Weekly Bonus of $500 - $1000 per 5 tasks created. **Application Process (Takes 20–30 mins to complete)** - Upload resume - AI interview based on your resume - Submit form **Resources & Support** - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome - For any help or support, reach out to: [email protected] *PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.* ,