Research Engineer / Machine Learning Engineer - B2B Applications
Designs and builds advanced speech models (speech-to-speech, TTS, transcription) for B2B applications at OpenAI. Requires Master's/PhD, 2+ years experience, deep learning expertise, and PyTorch/TensorFlow proficiency.
Responsibilities
- Innovate and Build: Design and build advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation.
- Collaborate with the Best: Work closely with software engineers, product managers, and forward deployed engineers to understand business challenges and deliver AI-powered solutions.
- Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure production-readiness.
- Learn and Lead: Stay current with machine learning developments, participate in code reviews, and maintain high-quality engineering practices.
- Make a Difference: Monitor and maintain deployed models to ensure ongoing value.
Requirements
- Master's/PhD degree in Computer Science, Machine Learning, or related field.
- 2+ years of professional engineering experience (excluding internships) in relevant roles at tech companies.
- Demonstrated experience in deep learning and transformers models.
- Proficiency in frameworks like PyTorch or TensorFlow.
- Strong foundation in data structures, algorithms, and software engineering principles.
- Familiarity with training and fine-tuning large language models (distillation, supervised fine-tuning, policy optimization).
Nice-to-Haves
- Experience with speech models.
- Excellent problem-solving, analytical skills, and ability to work collaboratively.
- Ability to move fast in ambiguous environments and own problems end-to-end.
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