Machine Learning Engineer – Remote

Mercor; Remote; EUR 100.000 - 125.000; Teilzeit

Zusammenfassung

A leading AI talent firm is seeking a Machine Learning Engineer to design and implement scalable ML pipelines and deep learning models. This remote position requires a strong background in machine learning, proficiency in Python, and familiarity with MLOps tools. Collaborate with data scientists and optimize inference speed while ensuring data quality. Enjoy the flexibility of hourly contracting with competitive compensation paid weekly. Apply today to join a dynamic team at the forefront of AI innovation.

Qualifikationen

• Strong background in machine learning, deep learning, or reinforcement learning.
• Proficient in Python and familiar with ML frameworks.
• Understanding of training infrastructure and data pipeline optimization.

Aufgaben

• Design and implement scalable ML pipelines.
• Build and fine-tune deep learning models.
• Collaborate with data scientists to ensure training data quality.

Kenntnisse

Machine learning

Deep learning

Reinforcement learning

Python

MLOps tools

Tools

PyTorch

TensorFlow

JAX

Docker

Kubernetes

Airflow

Jobbeschreibung

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: [e-mail]

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