Machine Learning Engineer

Metacognition; United States; Remote; USD 120.000 - 170.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

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

Aufgaben

• 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.

Kenntnisse

Python

Deep learning

Cloud infrastructure

PyTorch or JAX

Research to production

Jobbeschreibung

Role Overview

This role sits within our Engineering/Products team, bridging research and production. The Machine Learning Engineer takes experimental research code and turns it into reliable, efficient, scalable systems, working closely with research scientists and the broader engineering organisation. Role scope will be calibrated to the experience and profile of the candidate.

Role scope will be calibrated to the experience and profile of the candidate.

Key Responsibilities

Engineering

• Implement, optimise, and scale machine learning 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.

Requirements

Essential

• Strong Python skills.

• Hands-on experience training and deploying deep learning models on cloud infrastructure.

• Familiarity with PyTorch or JAX.

• Genuine intellectual curiosity, collaborative mindset, and comfort working in a fast-paced research environment.

Preferred

• Experience with large-scale model training (LLMs, vision-language models, or similar).

• Familiarity with simulation environments, synthetic data generation, or evaluation pipelines.

• Prior experience in a research lab, deep tech company, or AI-focused startup.

• Track record of shipping research or products in a collaborative team setting.

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Why join Metacognition?

You'll work alongside leading researchers, engineers and thinkers to build intelligent systems capable of learning, remembering and reasoning over time. We're an early stage startup with ambitious goals. Joining us will give you a genuine opportunity to shape both our technology and the company we become.

What you can expect

• Competitive remuneration

• Remote working

• The opportunity to work with leading researchers, engineers and industry experts

• A highly collaborative, fast-moving environment

• Meaningful ownership and the opportunity to influence how we build and grow

• Opportunities to learn, experiment and work on genuinely challenging problems

Metacognition is committed to creating an inclusive workplace where different perspectives, experiences and backgrounds are valued. We encourage applications from people with diverse backgrounds and experiences.

Interested?

If you're excited by ambitious problems, intelligent systems and the opportunity to build something from the ground up, we'd love to hear from you.