Algorithm Engineer

Temu; United States; Remoto; USD 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical/Dental/Vision Insurance

PTO

Paid Sick Leave

403(k) Plan

Descrizione del lavoro

Temu seeks a highly quantitative Algorithm Engineer (Ads) for a full-time remote role. Formulate optimization for cross-channel budget pacing and intelligent bid adjustments across major search platforms.

You will perform complex EDA to evaluate financial impact and use LLMs to generate ad copy and brainstorm keywords at scale, while collaborating with data and software engineers to deploy AI pipelines. A strong background in ML, NLP, A/B testing and statistical inference is required, with

Competenze

• Master's degree or PhD in a highly quantitative field.
• 2+ years in algorithmic roles, data science, or ML.
• Strong Python and SQL for data extraction and analysis.
• Experience with PyTorch or TensorFlow and LLMs.
• Solid understanding of statistics, causal inference, and A/B testing.

Mansioni

• Formulate optimization for cross-channel budget pacing and bid adjustments across major search platforms.
• Perform exploratory data analysis to evaluate financial impact of initiatives and ad creatives.
• Fine-tune LLMs to generate ad copy and brainstorm keywords at scale.
• Integrate multi-modal models to produce visual assets for ads and landing pages.
• Deploy bidding rules, analytical models, and AI pipelines into production with engineers.

Conoscenze

Python

SQL

ML frameworks

Generative AI

A/B testing

Causal inference

Formazione

Master's/PhD in quantitative field

Strumenti

PyTorch

TensorFlow

LLMs

Descrizione del lavoro

Role Description: This is a full-time remote role for Algorithm Engineer (Ads)

1. Formulate and solve optimization problems for cross-channel budget pacing and intelligent bid adjustments across major search platforms.


2. Perform complex exploratory data analysis (EDA) to evaluate the financial impact of strategic initiatives and the performance of various creative combinations.


3. Utilize and fine-tune Large Language Models (LLMs) to generate and iterate high-converting ad copy and brainstorm keywords at scale.


4. Integrate multi-modal/image generation models to produce and optimize visual assets for ads and landing pages.


5. Implement algorithms to logically organize massive, unstructured keyword lists into coherent ad groups.


6. Partner closely with data and software engineers to deploy bidding rules, analytical models, and Generative AI pipelines into robust production environments.

Requirements:

1. Master's degree or PhD in Computer Science, Data Science, Statistics, Operations Research, AI/Machine Learning, or a highly quantitative field.


2. 2+ years of experience in algorithmic roles, data science, or machine learning, ideally with exposure to both optimization/analytics and NLP/Generative AI.


3. Strong programming skills in Python and deep proficiency with SQL for complex data extraction, manipulation, and analysis.


4. Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and working knowledge of LLMs (e.g., prompt engineering, fine-tuning).


5. Deep understanding of statistical concepts, causal inference, and rigorous A/B testing design.


6. Exceptional analytical problem-solving skills and the ability to adapt to changing business needs across different technical domains.

The benefits that generally apply to regular, full-time employees include:

• Medical, Dental, and Vision Insurance Coverage


• Paid Time Off (PTO)


• Paid Sick Leave (in accordance with applicable state and local laws)


• 403(k) Plan

The Company reserves the right to modify or change these benefit programs at any time, with or without notice, consistent with applicable law.