Senior / Lead ML Applied Scientist – Remote (Europe & Canada) | Visa + Salary Insights

📍 Location: eu

🏷 Type: Not specified

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Job Overview

This role targets a Senior-Level ML Applied Scientist (5+ years) specializing in real-time machine learning systems and enterprise security AI. At Intuition Machines, you will work on high-scale systems like hCaptcha, impacting hundreds of millions of users globally. The ideal candidate combines research depth, production engineering expertise, and system-level thinking. This is not a research-only role — it demands strong ownership of end-to-end ML lifecycle, from modeling to deployment in latency-sensitive environments.

🌍 Work Eligibility & Location

This is a fully remote opportunity with a distributed team model. While visa sponsorship is not explicitly provided, hiring is limited to specific countries, making it accessible primarily to candidates already authorized to work in those regions. The absence of relocation requirements makes this ideal for experienced professionals seeking location flexibility without migration constraints.

💰 Salary Intelligence

Although compensation is not publicly listed, roles of this scope — involving real-time ML at massive scale — typically command high six-figure packages in competitive markets. Given the senior/lead level and impact on critical infrastructure, this position likely falls within the upper tier of applied ML compensation globally, especially for candidates with proven large-scale system experience.

📊 Role Breakdown

This role blends machine learning research (30%), production engineering (40%), and system design & optimization (30%). You will design and deploy ML models capable of handling millions of requests per second, requiring expertise in low-latency inference systems and distributed architectures. A significant portion of your work involves translating business requirements into technical ML solutions, ensuring models meet strict performance, memory, and compute constraints.

You will actively leverage coding agents and evaluation-first development workflows, but must maintain full ownership by reviewing and validating every line of generated code. The role emphasizes rapid iteration cycles, where you ship early and often, continuously improving model performance through online learning and incremental updates. Collaboration with engineering teams ensures seamless integration into production systems, including observability, deployment pipelines, and security layers.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a high-difficulty role targeting experienced professionals who can operate across both research and production environments. The 5+ years requirement is a baseline — candidates are expected to demonstrate deep expertise in scaling ML systems. Competition is intense due to the remote nature and the company’s reputation in security AI, attracting top-tier global talent.

🚀 Career Impact

This role delivers high career leverage by positioning you at the intersection of AI, cybersecurity, and large-scale systems. Experience here significantly strengthens your profile for staff-level engineering roles, ML architecture leadership, and advanced positions in AI infrastructure companies.

📋 Key Responsibilities

You will design, build, and scale ML models using real-time inference systems capable of handling massive traffic loads. A core responsibility is to translate business objectives into production-ready ML pipelines, ensuring models meet strict latency and accuracy requirements. You will evaluate, debug, and optimize models using advanced techniques in online learning and incremental updates.

Additionally, you will write clean, testable code with strong coverage across unit, integration, and end-to-end tests. Participation in code reviews and system architecture discussions is expected. You will also mentor junior engineers and contribute to the technical research roadmap, ensuring continuous innovation and alignment with evolving ML technologies.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role shows moderate urgency due to its strategic importance in scaling security systems. Given the high competition from global senior ML engineers, early application significantly improves visibility. Candidates with proven production-scale experience should prioritize applying quickly to maximize interview chances.

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✅ Job Source & Verification

This job listing originates from the company’s official hiring platform, ensuring high source credibility. Details align with standard postings for Intuition Machines roles and include comprehensive responsibilities and requirements. Last updated: May 2026, based on the most recent available listing data.