Machine Learning Engineer | Remote

About the role

We are seeking a skilled Machine Learning Engineer to join our team remotely. This position focuses on developing and optimizing machine learning systems and data workflows. You will play a vital role in enhancing our AI capabilities and ensuring the reliability of our models.

Key facts

What you'll do

• Create and sustain data pipelines essential for training, evaluating, and researching machine learning models.
• Design and implement reinforcement learning environments for effective experimentation and training.
• Develop and optimize model inference systems to improve performance and reliability.
• Build and maintain software development kits and integrations with leading AI platforms.
• Design agentic systems utilizing modern large language model frameworks, ensuring they meet security and reliability standards.
• Transition systems from prototype stages to production while upholding high reliability and security standards.

Requirements

• Proven experience as a Python engineer with complete ownership of projects.
• Familiarity with large language models and agentic systems, such as LangChain or LangGraph.
• Experience in building or maintaining data pipelines and machine learning infrastructure.
• Knowledge of reinforcement learning workflows or simulation environments.
• Background in distributed systems or scaling inference processes.
• Ability to work in high-security and high-reliability settings.

Nice to have

• Experience with cloud platforms and services related to machine learning.
• Familiarity with containerization technologies like Docker or Kubernetes.

Skills & tools

• Proficiency in Python and related libraries for machine learning.
• Experience with tools for data processing and pipeline management.
• Understanding of reinforcement learning and simulation tools.

Practical notes

• Salary range: $350K - $500K per year.
• Application process includes an Easy Apply option on LinkedIn, followed by email communication for next steps and participation in resume evaluation and interview stages.