ML Engineer: Research-to-Production (Remote)

Metacognition; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Metacognition is an early-stage startup building intelligent systems. We are seeking a Machine Learning Engineer to translate research code into reliable, scalable production pipelines, collaborating with researchers and engineers.

You will implement and optimize training pipelines, deploy deep learning models on cloud infrastructure, and help shape evaluating frameworks. A curious, collaborative mindset and comfort in a fast-paced lab environment are essential.

Qualifications

• Strong Python skills.
• Experience training and deploying DL models on cloud.
• Familiarity with PyTorch or JAX.
• Collaborative mindset in fast-paced research env.

Responsibilities

• Implement, optimise, and scale ML models and training pipelines.
• Build robust data, simulation, and evaluation infrastructure.
• Bridge research and production - taking experimental code to reliable, efficient systems.
• Profile and optimise model performance across compute environments.
• Develop and maintain early-stage demonstrators of research ideas.

Skills

Python

Deep learning

Cloud infrastructure

PyTorch or JAX

Research to production

Job description

Metacognition is an early-stage startup building intelligent systems. We are seeking a Machine Learning Engineer to translate research code into reliable, scalable production pipelines, collaborating with researchers and engineers.

You will implement and optimize training pipelines, deploy deep learning models on cloud infrastructure, and help shape evaluating frameworks. A curious, collaborative mindset and comfort in a fast-paced lab environment are essential.