About the Role
Join our AI Research team to design, train, and deploy the large language and speech models that power getgofer.ai's product suite. You'll work on cutting-edge problems in NLU, speech synthesis, and retrieval-augmented generation.
Responsibilities
- Design and implement model training pipelines for conversational AI and speech recognition systems
- Optimize model inference for low-latency, high-throughput production environments
- Collaborate with product teams to translate customer needs into model improvements
- Conduct experiments, analyze results, and publish findings internally and externally
- Mentor junior engineers and contribute to the team's technical roadmap
Requirements
- 5+ years of experience in machine learning engineering or applied research
- Strong proficiency in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow)
- Experience training and fine-tuning large language models or speech models
- Familiarity with distributed training, model serving, and MLOps tooling
- MS or PhD in Computer Science, Machine Learning, or a related field
Nice to Have
- Publications at top ML venues (NeurIPS, ICML, ACL, Interspeech)
- Experience with RLHF, DPO, or other alignment techniques
- Contributions to open-source ML projects
Interested in this role?
Send us your resume and a brief note about why you're excited about getgofer.ai. We'd love to hear from you.
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