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About the Role
Join Faculty as a Software Engineer to deliver bespoke, impactful AI solutions for diverse clients. You will bridge the gap between AI research and real-world impact by building scalable, production-grade machine learning systems. Partnering with clients and cross-functional teams, you will champion technical feasibility, ensure seamless delivery, and collaborate with Frontier Labs to reinforce our leadership in practical, high-stakes AI safety.
Responsibilities
- Building and deploying production-grade ML software, tools, and infrastructure.
- Creating reusable, scalable solutions that accelerate the delivery of ML systems and capability testing of Frontier AI models.
- Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.
- Leading technical scoping and architectural decisions to ensure project feasibility and impact.
- Defining and implementing Faculty’s standards for deploying machine learning at scale.
- Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.
Requirements
- Comfortable building LLM applications.
- Familiar with multi-agent harness tooling and AI Safety evaluation procedures.
- Strong Python skills.
- Solid experience in software engineering best practices.
- Hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.
- Experience with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale.
- Comfortable with core ML concepts, including probability, statistics, and common learning techniques.
- Understanding of the full machine learning lifecycle.
- Experience operationalizing models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.
- Excellent communication skills, able to guide technical teams and confidently advise non-technical stakeholders.
- Ability to thrive in a fast-paced environment with autonomy to own scope, solve, and deliver solutions.
Skills
- Python
- Cloud Platforms (AWS, Azure, GCP)
- Docker
- Kubernetes
- Machine Learning Concepts
- Scikit-learn
- TensorFlow
- PyTorch
- LLM Applications
Work Type
- Part-time hours considered
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's clients span 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 empowers employees to envision and implement the most powerful applications of AI.
- 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 works on strengthening mission-critical capabilities across national security and intelligence.
- This unit partners 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.
- Faculty aims to grow the best team, not the most similar one, valuing diversity of individuals for diversity of thought.
- Faculty believes diverse teams deliver better work relevant to the world.
- Faculty employees are united by deep intellectual curiosity and a desire for measurable positive impact.
- Faculty strongly encourages applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Faculty is open to conversations about part-time hours.
- Faculty permits the use of AI for research and interview preparation but not for generating answers during live interviews.
- Faculty uses an AI note-taker (Metaview) in interviews, with an opt-out option.
- Every application is reviewed by a human, never decided by AI.
Equal Opportunity
- We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
- If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles.