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Machine Learning Engineer – Work From Home

Remote / Online - Candidates ideally in
Singapore
Listing for: Mercor
Remote/Work from Home position
Listed on 2026-01-01
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 14 SGD Hourly SGD 14.00 HOUR
Job Description & How to Apply Below

Machine Learning Engineer – Work From Home

This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$14.00/hr - $14.00/hr

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 Details
  • 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
  • Strong background in machine learning, deep learning, or reinforcement learning.
  • Proficient in Python and familiar with frameworks such as PyTorch, Tensor Flow, 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:
  • For any help or support, reach out to:

PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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