OpenAI

Research Engineer, Applied AI Engineering

OpenAI22 months ago
Location

San Francisco

Type

Full Time

Salary

USD 250,000 – 555,000

Level

Senior

Role

Research Engineer

Posted

May 22, 2024

Full TimeSenior

The role

Summary

OpenAI is seeking a Research Engineer for their Applied AI Engineering team to transform cutting-edge research into production-ready AI applications. This role involves designing and deploying advanced machine learning models, working with transformers and LLMs, and collaborating with cross-functional teams to solve real-world problems using state-of-the-art AI technology.

What you'll do

Model Development and Deployment: Design and deploy advanced machine learning models that solve real-world problems, bringing OpenAI's research from concept to implementation
Cross-functional Collaboration: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions
System Optimization and Scaling: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure production readiness
Technical Leadership: Participate in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices
Model Monitoring and Maintenance: Monitor and maintain deployed models to ensure continued value delivery and optimal performance
Research Implementation: Transform cutting-edge AI research into tangible, production-ready applications with direct impact
Innovation and Problem Solving: Contribute to projects requiring cutting-edge technology and innovative approaches to complex AI challenges

What we look for

Technical

Deep Learning ExpertiseDemonstrated experience in deep learning and transformer models with practical implementation knowledge
ML Framework ProficiencyStrong proficiency in PyTorch or TensorFlow for developing and training neural networks
Software Engineering FundamentalsStrong foundation in data structures, algorithms, and software engineering principles
Large Language ModelsFamiliarity with training and fine-tuning LLMs using techniques like distillation, supervised fine-tuning, and policy optimization
Production ML SystemsExperience with deploying and scaling machine learning models in production environments

Education

Advanced DegreeMaster's or PhD degree in Computer Science, Machine Learning, Data Science, or related technical field

Experience

ML Engineering Experience3-5+ years of experience in machine learning engineering or AI research with production deployment experience
Search/Ranking ExperienceExperience with search relevance, ads ranking, or recommendation systems is preferred
Fast-paced EnvironmentAbility to work effectively in environments with loosely defined requirements and competing priorities
End-to-end OwnershipExperience owning problems from conception to deployment and maintenance

Skills

Required skills

Python ProgrammingExpert-level proficiency in Python for machine learning and AI development
Deep LearningHands-on experience with neural networks, transformers, and modern deep learning architectures
PyTorch/TensorFlowProduction-level experience with major deep learning frameworks
Machine Learning OperationsExperience with model deployment, monitoring, and maintenance in production environments
Problem SolvingExcellent analytical and problem-solving skills with proactive approach to challenges
CollaborationStrong ability to work with cross-functional teams including researchers and product managers

Nice to have

Large Language ModelsExperience with training, fine-tuning, and deploying LLMs at scale
Search and RankingBackground in search relevance, ads ranking, or recommendation systems
Distributed ComputingExperience with distributed training and large-scale machine learning systems
Research BackgroundPhD or research experience in AI/ML with publication record
Cloud PlatformsExperience with AWS, GCP, or Azure for ML infrastructure
MLOps ToolsFamiliarity with MLflow, Weights & Biases, or similar ML lifecycle management tools

Compensation & benefits

Salary

USD 250,000 – 555,000 (annual)

Stock options

Available

Benefits

Equity Compensation

Significant equity package allowing participation in OpenAI's growth and success

Health Insurance

Comprehensive health, dental, and vision insurance coverage

Professional Development

Access to cutting-edge AI research, conferences, and continuous learning opportunities

Work-Life Balance

Flexible working arrangements and generous time-off policies

Retirement Benefits

401(k) retirement plan with company matching contributions

Wellness Programs

Mental health support, wellness stipends, and employee assistance programs

Parental Leave

Generous parental leave policies for new parents

Equal Opportunity

Commitment to diversity, inclusion, and equal employment opportunities

Interview process

  1. 1
    Initial Screen — Phone or video screening with recruiter to discuss background, motivation, and role alignment
  2. 2
    Technical Phone Interview — Technical discussion covering machine learning concepts, algorithms, and coding problems
  3. 3
    Take-Home Assignment — Practical ML problem involving model implementation, data analysis, or research implementation
  4. 4
    Technical Deep Dive — In-depth technical interview focusing on deep learning, transformers, and system design
  5. 5
    Research Discussion — Conversation with research team about AI research interests and potential contributions
  6. 6
    Team Fit Interview — Cultural fit assessment with potential team members and cross-functional partners
  7. 7
    Final Interview — Interview with senior leadership to discuss vision alignment and long-term goals
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OpenAI

OpenAI

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OpenAI is an American artificial intelligence research organization developing advanced AI models like GPT. Focused on ensuring AI benefits humanity, it creates tools for natural language processing and generative AI applications.

San Francisco, California, United StatesFounded 2015openai.com

Tech Stack

Languages
PythonCUDA
Frameworks
PyTorchTensorFlowTransformers (Hugging Face)scikit-learn
Databases
Vector DatabasesPostgreSQLRedis
Tools
GitDockerKubernetesMLflowWeights & BiasesApache Airflow
Other
AWS/GCP/AzureNVIDIA GPUsRayApache Kafka

Interview Guides

5 guides available for OpenAI

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