Machine Learning Engineer Graduate (E-Commerce) - 2027 Start (PhD) (AI)

Location: San Jose, United States; fully in-person schedule up to 5 days a week

Salary: $136,800–$259,200 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates TikTok-related applications and focuses on U.S. data privacy, cybersecurity, trust and safety, and e-commerce experiences.

What you will do

• Architect and develop LLM-based systems for high-dimensional unstructured data, including text, logs, and conversations.
• Build semantic understanding frameworks for fine-grained intent classification and entity extraction.
• Improve model performance through instruction tuning, RLHF/DPO, and contextual prompt engineering.
• Optimize production model serving with quantization, distillation, FlashAttention, and vLLM.
• Develop e-commerce video and product multimodal models for classification, video question answering, and cross-modal retrieval.

Requirements

• Completing or recently completed a PhD in Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
• Experience in machine learning, natural language processing, or computer vision.
• Proficiency in at least one of: C++, Python, Go, or Java.
• Ability to commit to an onboarding date by the end of 2027; availability and graduation date must be stated in the resume.
• On-site presence in San Jose, up to five days per week.

Nice to have

• Experience fine-tuning or distilling large language models, or applying reinforcement learning to conversational AI.
• Experience with multilingual NLP, machine translation, or cross-lingual dialogue modeling.
• Understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions.

Culture & Benefits

• Medical, dental, and vision insurance from the first day.
• 401(k) savings plan with company match.
• Paid parental leave, disability coverage, life insurance, and wellbeing benefits.
• 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
• Inclusive workplace with reasonable accommodations available during recruitment.