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

About the Team

Graduate Timing

• Successful candidates must commit to an onboarding date by the end of the year and should state availability and graduation date clearly in their resume.
• Candidates may apply to a maximum of two positions and applications are reviewed on a rolling basis.

Responsibilities

• Architect and develop LLM-based systems for high-dimensional unstructured data such as text, logs, and conversations.
• Define semantic understanding frameworks for fine-grained intent classification and entity extraction.
• Use instruction tuning, RLHF/DPO, and contextual prompt engineering to improve model performance.
• Optimize production model serving with quantization, distillation, and efficient attention mechanisms such as FlashAttention and vLLM.

Minimum Qualifications

• Completing or recently completed a Bachelor's or Master's degree in Computer Science, Engineering, Math, Statistics, or a related discipline.
• Experience in one or more of Machine Learning, Natural Language Processing, or Computer Vision.
• Software development proficiency in at least one of C++, Python, Go, or Java.

Preferred Qualifications

• Experience in fine-tuning, distillation, or reinforcement learning for large language models in conversational AI applications.
• Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling.
• Experience developing and optimizing e-commerce video and product multimodal large models.
• Understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions.

Job Information

• The base salary range for this position in the selected city is $100,320 to $177,840 annually.
• Compensation may vary based on qualifications, skills, competencies, experience, and location, and may include discretionary bonuses or restricted stock units.

Benefits

• Benefits may include medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, paid holidays, sick days, and paid personal time.

Workplace

• On-site presence across teams supports speed, alignment, and integrated execution.
• The company is shifting from a hybrid work model to a fully in-person schedule of up to five days per week.

About USDS