Senior / Lead Machine Learning Engineer
🌍 Location: Fully Remote
💼 Employment Type: Full-time
💰 Compensation: $180,000 – $215,000 (base salary, depending on experience)
📊 Benefits: Full package included
About the Role
We’re seeking a Senior/Lead ML Engineer to drive the development of advanced enterprise AI and intelligent data applications. This is a hands-on role that combines machine learning, data engineering, and software development to deliver practical, production-ready solutions with measurable impact.
If you’re excited about tackling complex engineering challenges in high-standard environments, this role offers strong career growth opportunities, including senior technical leadership pathways.
Key Responsibilities
Lead platform upgrades to ensure products remain cutting-edge and effective.
Design and manage dynamic dashboards using Python SDKs to turn data into actionable insights.
Optimize data pipelines and access patterns for performance and scalability.
Troubleshoot and resolve runtime and performance challenges.
Architect robust, scalable, and user-friendly applications designed for long-term growth.
Collaborate closely with Product Managers to improve usability and ensure real-world impact.
What You Won’t Do
❌ Work in silos – this role requires versatility across ML, data systems, and software engineering.
❌ Focus solely on research without real-world implementation.
Tech Stack
Languages & Tools: Python (primary), Docker, Git
Libraries & Frameworks: pandas, numpy, scikit-learn, PyTorch
Systems & Processes: CI/CD pipelines, monitoring tools, testing frameworks
Requirements
✅ 4+ years of professional Python software engineering with experience in production ML deployment (beyond prototyping).
✅ Proven experience with the end-to-end ML lifecycle: model development → deployment → monitoring.
✅ Strong production systems background in rigorous engineering environments (Big Tech or top-tier startups preferred).
✅ Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.).
✅ U.S. Citizenship and ability to obtain a government security clearance.
Preferred Qualifications
Experience in defense-related applications.
Exposure to multiple programming languages and diverse tech stacks.
Soft Skills
Strong written and verbal communication.
Pragmatic approach with a focus on delivering incremental value.
Collaborative, with the ability to mentor and influence peers.
Candidate Profile – Not a Fit If
🚫 Job hopper (<2 years per role).
🚫 Focused mainly on research/data science without production deployment.
🚫 Strong theoretical ML background but lacking hands-on implementation.
🚫 No experience with CI/CD, monitoring, or scalable architecture.
🚫 Consulting/contract-heavy career history.
Compensation & Benefits
💰 Base Salary: $180,000 – $215,000
📦 Benefits: Comprehensive full package
🛫 Travel: Occasional, interview travel reimbursed
📍 Relocation: Not available
👉 Ready to shape the future of AI-driven enterprise applications? Apply now and step into a role where your engineering expertise drives real-world innovation.