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About the Role
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients. You will design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. You will bridge AI research and real-world impact by architecting scalable, production-grade machine learning systems, driving technical strategy, mentoring teams, and collaborating with Frontier Labs on AI safety.
Responsibilities
- Leading technical scoping and architectural decisions for high-impact ML systems and capability testing of Frontier AI models
- Designing and building production-grade ML software, tools, and scalable infrastructure
- Defining and implementing best practices and standards for deploying machine learning at scale across the business
- Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
- Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
- Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth
Requirements
- Significant experience building and deploying secure and scalable LLM applications
- Comfortable with multi-agent harness tooling and AI Safety evaluation procedures
- Understanding of the full ML lifecycle and confident operationalizing models built with frameworks like TensorFlow or PyTorch
- Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
- Demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) specifically cloud architecture, infrastructure management, and end-to-end cybersecurity practices
- Extensive experience working with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale
- Thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
- Communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders
Skills
- Machine Learning
- AI
- LLM
- TensorFlow
- PyTorch
- Python
- Cloud Platforms (AWS, Azure, GCP)
- Cloud Architecture
- Infrastructure Management
- Cybersecurity
- Docker
- Kubernetes
- AI Safety
Work Type
- Full-time
Experience Level
- Senior
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
- Faculty possesses unparalleled depth of technical, product, and delivery expertise.
- Faculty serves clients across government, finance, retail, energy, life sciences, and defense sectors.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement powerful AI applications.
- The National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability.
- This unit strengthens mission-critical capabilities across national security and intelligence.
- This unit works with frontier labs to provide robust AI safety red teaming and evaluation.
- This unit operates at the frontier of high-stakes, high-impact missions.
- Faculty partners with Government and major tech organizations to ensure AI is transformative, secure, trustworthy, and safe.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
- Diverse teams deliver better work, relevant to the world.
- The team is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Applications are strongly encouraged from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Candidates who do not meet all requirements but are excited by the role and bring key strengths are encouraged to apply.
- Conversations about part-time hours are welcome.
- AI can be used for research and interview prep, but not for generating answers during live interviews.
- Faculty uses an AI note-taker (Metaview) in interviews, with an option to opt out.
- Every application is reviewed by a human, never decided by AI.