Research Engineering Manager (AI)

TL;DR

Research Engineering Manager (AI): Leading and mentoring a team of Research Engineers to define technical strategy and oversee the design and implementation of robust ML systems within the Responsibility portfolio, with an accent on responsible AI development and project execution. Focus on collaborating with cross-functional teams, communicating complex technical concepts, and staying abreast of advancements in AI, ML, and LLMs.

Location: Mountain View, California, US

Salary: $248,000–$349,000

Company

hirify.global is a team of scientists, engineers, and machine learning experts dedicated to advancing artificial intelligence, prioritizing safety and ethics for widespread public benefit.

What you will do

• Lead, mentor, and grow a team of Research Engineers.
• Define and drive the technical strategy and roadmap for research projects within the Responsibility portfolio.
• Oversee the design, development, and implementation of robust and scalable ML systems and tools.
• Ensure projects are well-defined, resourced, and executed efficiently to meet research and organizational objectives.
• Collaborate with cross-functional teams (e.g., Research, Product, Policy) to identify and address key challenges in responsible AI.
• Communicate complex technical concepts, project statuses, risks, and opportunities clearly and concisely to various stakeholders.

Requirements

• 7+ years of experience in a technical leadership role, with at least 3 years of experience managing engineering teams.
• Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related technical field, or equivalent practical experience.
• Proven track record of leading and delivering complex, large-scale machine learning projects.
• Deep understanding and hands-on experience with state-of-the-art Machine Learning techniques, particularly in Deep Learning and Large Language Models (LLMs).
• Strong programming skills, preferably in Python, and experience with common ML frameworks (e.g., TensorFlow, PyTorch, JAX).
• Excellent communication and interpersonal skills.

Nice to have

• Master's or PhD in Computer Science, Machine Learning, or a related field.
• Experience working in AI ethics, safety, or responsibility research.
• Experience with large-scale data processing and distributed systems.
• Publications or contributions to the machine learning research community.
• Experience working in a fast-paced, research-driven environment.

Culture & Benefits

• Value diversity of experience, knowledge, backgrounds, and perspectives.
• Committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, or any other basis as protected by applicable law.
• Offers bonus, equity, and benefits.
• Provides accommodation for disabilities.

Hiring process

• Successful applicants will undergo a background check performed by a third party.