Machine Learning Engineer – AI Lead Role

Mercor; Remote; EUR 60.000 - 80.000; Teilzeit

Zusammenfassung

A leading AI research firm is seeking a Machine Learning Engineer to design and implement innovative ML pipelines while collaborating with data scientists. The ideal candidate has a strong background in machine learning and is proficient in Python, with experience in frameworks like PyTorch or TensorFlow. This hourly contractor position allows for remote work and offers flexible hours ranging from 20 to 40 hours per week, catered to a fast-paced AI environment.

Qualifikationen

• Strong background in machine learning, deep learning, or reinforcement learning.
• Proficient in Python and familiar with frameworks like PyTorch, TensorFlow, or JAX.
• Understanding of distributed training and data pipeline optimization.

Aufgaben

• Design and implement scalable ML pipelines.
• Build and fine-tune deep learning models.
• Collaborate with data scientists on data collection.

Kenntnisse

Machine learning

Deep learning

Reinforcement learning

Python

ML frameworks (PyTorch, TensorFlow, JAX)

MLOps tools

Tools

Docker

Kubernetes

MLflow

Weights & Biases

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.