Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Lead Machine Learning Engineer (Safety) role.
Rezi rewrites your resume against Faculty's job description. Free.
Tailor your resume to this Lead Machine Learning Engineer (Safety) role.
Rezi rewrites your resume against Faculty's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Lead Machine Learning Engineer (Safety) posting at Faculty — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Lead Machine Learning Engineer (Safety) posting at Faculty — free, in seconds.
About the Role
As a Lead Machine Learning Engineer at Faculty, you’ll drive the technical strategy, architecture, and deployment of cutting-edge, secure AI systems across high-stakes domains. You will bridge AI research and production impact, setting the benchmark for engineering excellence and operationalizing scalable ML infrastructure. You will champion practical, safety-first AI frameworks, model capability evaluations, and multi-agent systems, acting as a principal advisor to client leadership, mentoring engineering talent, and steering cross-functional teams to solve critical, real-world AI challenges.
Responsibilities
- Steer technical strategy, system architecture, and rigorous capability testing for complex ML systems and Frontier AI models.
- Architect production-grade, secure ML software, orchestration tools, and scalable cloud infrastructure.
- Establish company-wide standards and best practices for safe, reliable, and ethical machine learning deployment at scale.
- Collaborate with cross-functional teams and executive stakeholders to translate high-impact client needs into resilient AI solutions.
- Advise senior clients and partners as a trusted AI safety and technical authority, articulating complex strategies clearly.
- Mentor and develop engineering talent, actively elevating team capabilities and nurturing an inclusive, high-performing culture.
- Partner with Frontier Labs to advance safety evaluation procedures, multi-agent harness tooling, and robust AI governance frameworks.
Requirements
- Significant leadership experience designing, deploying, and securing scalable LLM applications, multi-agent frameworks, and AI safety evaluation processes.
- Exceptional software engineering fundamentals and advanced Python expertise, with a focus on building resilient, enterprise-ready systems.
- Deep hands-on experience with cloud platforms (AWS, Azure, GCP), scalable cloud architectures, container orchestration (Docker, Kubernetes), agent sandboxing, and end-to-end cybersecurity.
- Mastery over the full ML lifecycle, with proven expertise operationalizing production systems using PyTorch, TensorFlow, or similar frameworks.
- Excels in fast-paced, high-growth environments, bringing autonomy, strategic ownership, and a track record of guiding technical decisions.
- Communicates persuasively with both technical teams and senior non-technical stakeholders, translating complex technical risks into clear strategic direction.
Skills
- AI
- Machine Learning
- LLM applications
- Multi-agent frameworks
- AI safety evaluation
- Software Engineering
- Python
- Cloud platforms (AWS, Azure, GCP)
- Scalable cloud architectures
- Container orchestration (Docker, Kubernetes)
- Agent sandboxing
- Cybersecurity
- ML lifecycle
- PyTorch
- TensorFlow
Work Type
- Part-time hours considered
Experience Level
- Lead
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 brings unparalleled depth of technical, product, and delivery expertise to clients in government, finance, retail, energy, life sciences, and defense.
- 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 is a company where employees are empowered to envision and implement the most powerful applications of AI.
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.
- Faculty is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Strongly encourage applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Encourage applications even if not all requirements are met, if excited by the role and bringing key strengths.