Machine Learning Engineer (AI)

Location: On-site in Palo Alto, California, United States

Company

hirify.global develops AI-driven products and machine learning models.

What you will do

• Design, build, and maintain end-to-end machine learning systems.
• Develop synthetic data pipelines, model training workflows, debugging processes, and performance evaluation.
• Fine-tune large language models and vision-language models using pre-training, instruction tuning, and alignment techniques.
• Translate recent machine learning research into clean, production-ready code.
• Scale inference infrastructure and optimize model serving for LLMs and VLMs.
• Improve existing models through advances in machine learning research.

Requirements

• Hands-on experience training and fine-tuning LLMs and VLMs.
• Practical experience with Transformers, PyTorch, TensorFlow, and Python.
• Experience with alignment techniques such as GRPO, RLHF, DPO, and PPO.
• Experience scaling LLM/VLM inference infrastructure with serving frameworks such as vLLM or TGI.
• Strong computer science fundamentals, including data structures, algorithms, and design patterns.
• BS degree in computer science or a related technical field.

Nice to have

• MS or PhD in computer science or a related technical field.
• Experience with Spark, Airflow, multi-node GPU training, or open-source machine learning projects.
• Deep knowledge of linear programming and NLP.
• Multimodal post-training experience, including distillation, quantization, and deployment optimization.
• Experience with AWQ, GPTQ, FP8, or GGUF quantization and inference-time optimization.

Culture & Benefits

• Work in a fast-paced, dynamic engineering environment.
• Collaborate with cross-functional teams to identify and develop high-impact AI features.
• Balance theoretical machine learning research with practical engineering execution.