Role overview
**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:**
**Hourly contractor**
**Compensation:**
**$14/hour**
**Location:**
**Remote**
**Commitment:**
**20–40 hours/week**
**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.
* Proficient in Python and familiar 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.
**Compensation & Legal**
* Hourly contractor
* Paid weekly via Stripe Connect
**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: support@mercor.com
*PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*
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