Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
$310,000 – $550,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine LearningIndustries
Requirements
Candidates must possess a Master's or PhD degree in Computer Science, Machine Learning, Data Science, or a related field. They should have demonstrated experience in deep learning and transformer models, along with proficiency in frameworks such as PyTorch or TensorFlow. A strong foundation in data structures, algorithms, and software engineering principles is required, and experience with search relevance, ads ranking, or LLMs is a plus. Familiarity with training and fine-tuning large language models, excellent problem-solving and analytical skills, and the ability to work collaboratively with cross-functional teams are essential.
Responsibilities
The Machine Learning Engineer will design and deploy advanced machine learning models to solve real-world problems and create AI-driven applications. They will collaborate with researchers, software engineers, and product managers to deliver AI-powered solutions while implementing scalable data pipelines and optimizing models for performance. The engineer will engage with the latest developments in machine learning, participate in code reviews, and lead by example to maintain high-quality engineering practices. Additionally, they will monitor and maintain deployed models to ensure they continue delivering value.
Skills
Deep Learning
Transformer Models
PyTorch
TensorFlow
Data Structures
Algorithms
Software Engineering
Search Relevance
Ads Ranking
LLMs
Distillation
Supervised Fine-tuning
Policy Optimization
Data Pipelines
Model Optimization
OpenAI
Develops safe and beneficial AI technologies
About OpenAI
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.
Key Metrics
San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees