OpenAI

TLM, Machine Learning, Integrity

OpenAI12 months ago
Location

San Francisco

Type

Full Time

Salary

USD 347,000 – 490,000

Level

Lead

Role

Engineering Manager

Posted

Feb 26, 2025

Full TimeLead

The role

Summary

OpenAI's Applied Engineering team is seeking a Technical Lead Manager (TLM) for Machine Learning in their Integrity division to architect next-generation safety systems while leading a senior team of Machine Learning Engineers. This hands-on leadership role involves building and deploying ML models for content integrity, web safety, and platform protection while collaborating across Research, Safety, Product, and Policy teams.

What you'll do

System Architecture & Design: Architect and build next-generation system protections through hands-on design, model training, and deployment strategies
Team Leadership & Management: Lead and manage a focused team of senior Machine Learning Engineers, providing clear direction and empowering autonomy
Cross-functional Collaboration: Collaborate closely with Research, Safety, Product, and Policy teams to leverage existing tools and drive cutting-edge advancements
ML Model Development: Utilize state-of-the-art models to detect and prevent problematic content effectively across OpenAI's platforms
Evaluation Framework Development: Establish robust evaluation frameworks and metrics to measure progress and identify areas for improvement
Team Development & Mentorship: Support team members' professional growth and maintain high performance through mentorship and clear career progression
Content Safety & Integrity: Proactively identify platform misuse, prevent abuse, and protect users through advanced ML-based safety systems
Technical Strategy & Roadmap: Shape future direction of integrity systems and guide long-term technical strategy for web safety solutions

What we look for

Technical

Machine Learning Team ManagementExtensive hands-on experience managing machine learning teams, ideally in web safety, content integrity, or related domains
Large Language Model ExpertiseProven experience training, fine-tuning, or distilling LLMs and traditional ML models to solve real-world business problems
Hands-on Technical LeadershipDeep technical involvement in designing solutions, training models, and guiding deployment processes
Cross-team CollaborationExcellence at collaborating across teams to integrate existing tools and architect new solutions
ML Infrastructure & DeploymentExperience with scalable ML model serving, monitoring, and production deployment

Education

Advanced Degree PreferredMaster's or PhD in Computer Science, Machine Learning, AI, or related technical field preferred but not required with equivalent experience

Experience

ML Engineering Management5+ years of experience managing machine learning engineering teams with hands-on technical contribution
Content Safety DomainExperience in web safety, content moderation, trust & safety, or platform integrity highly preferred
Production ML SystemsTrack record of deploying and maintaining machine learning systems at scale in production environments
Leadership & MentorshipDemonstrated ability to lead, mentor, and develop senior-level engineering talent

Skills

Required skills

Python ProgrammingExpert-level Python programming for ML model development and data processing
Deep LearningAdvanced knowledge of neural networks, transformers, and large language model architectures
ML OperationsExperience with MLOps practices including model versioning, monitoring, and automated deployment
Team LeadershipStrong leadership skills with experience managing and mentoring senior engineers
Content SafetyUnderstanding of content moderation, abuse detection, and platform integrity challenges

Nice to have

Natural Language ProcessingAdvanced NLP techniques for text classification, sentiment analysis, and content understanding
Distributed SystemsKnowledge of distributed computing and scalable system design for ML workloads
Cloud PlatformsExperience with AWS, GCP, or Azure for ML infrastructure and deployment
Model InterpretabilityExperience with explainable AI and model interpretability techniques for safety applications
Research CollaborationExperience working with research teams and translating research into production systems

Compensation & benefits

Salary

USD 347,000 – 490,000 (annual)

Stock options

Available

Benefits

Equity Compensation

Significant equity participation in OpenAI's growth and success

Health Insurance

Comprehensive medical, dental, and vision coverage

Professional Development

Access to cutting-edge AI research and conferences for continuous learning

Flexible Work Environment

Collaborative office space in San Francisco with flexible work arrangements

AI Research Access

Direct access to OpenAI's latest models and research for professional development


Interview process

  1. 1
    Initial Screening Phone/video screening with recruiter to discuss background, experience, and role fit
  2. 2
    Technical Leadership Interview Discussion of technical leadership experience, ML team management, and system design approach
  3. 3
    Machine Learning Deep Dive Technical interview focusing on ML expertise, model development experience, and content safety applications
  4. 4
    Cross-functional Collaboration Interview with representatives from Research, Safety, and Product teams to assess collaboration skills
  5. 5
    Final Leadership Panel Panel interview with senior leadership to discuss vision, strategy, and cultural fit
  6. 6
    Reference Checks Background verification and professional reference discussions with previous colleagues

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