Senior Machine Learning Engineer - Remote

Overview

Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024, closing the year on $134m revenue.

In Short

• Join the Platform Engineering team as a Senior Machine Learning Engineer.
• Focus on backend systems, model evaluations, and finetuning.
• Develop and maintain AI/ML systems and data processing pipelines.
• Oversee and optimize cloud infrastructure for ML operations.
• Collaborate with ML engineers and data scientists.
• Participate in R&D for new AI tools and workflows.
• 5+ years of software engineering experience required.
• Strong proficiency in Python and ML model development.
• Experience with cloud platforms (AWS, GCP, Azure).
• Remote-first organization with global hiring.

Requirements

• 5+ years in software engineering, focusing on ML engineering.
• Extensive experience in full-stack development, especially backend.
• Strong proficiency in Python and ML model deployment.
• Experience with scalable ML systems and cloud platforms.
• Familiarity with Kubernetes and container management.
• Knowledge of MLOps frameworks and best practices.
• Excellent communication skills for cross-functional collaboration.
• Ability to solve complex problems independently.

Benefits

• Competitive salary with regional adjustments.
• Bonuses and equity for offers above entry level.
• Unique compensation structure based on various factors.
• Commitment to fair pay and internal equity.
• Opportunity to work in a fast-paced, innovative environment.