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Machine Learning Engineer

Salary

$180k - $250k

Min Experience

0 years

Location

San Francisco, CA

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

We're hiring MLE with Search or Feeds/Recommender system background.

Job Description

We're looking for engineers with a background in Machine Learning, Deep Learning and Generative AI. They will play a key role in driving algorithmic improvements to search and recommendation systems. They will develop and deliver robust and scalable solutions to continually improve our KPIs to delight our consumers.

Key Responsibilities

  • Improve our search and recommendation systems by building production machine learning models.
  • Fine-tune state-of-the-art generative models like Deepseek, Llama, Mistral, and others.
  • Process large amounts of data with strong engineering skills.
  • Find insights from data, be data-driven, produce actionable and trustworthy conclusions.

Qualifications

  • Bachelor’s or above degree in Computer Science or Computer Engineering.
  • Proven experience as a Machine Learning Engineer or similar role, in search, recommendation or Ads area.
  • Experiences about applying machine learning, deep learning or GenAI technologies on search retrieval, ranking or feed/Ads ranking.
  • In-depth practice in query parsing, content understanding, recall, relevance, ranking, RAG, etc.
  • Experience with Elastic Search is preferable.
  • Have knowledge of LLM fine-tuning and related experience is preferable.
  • Understand machine learning and related algorithms, with the ability to apply technologies such as natural language processing, computer vision to solve complex and challenging problems.
  • Strong programming skills in Python, Go or C++.
  • Strong communication and teamwork abilities.

Skills

machine learning
deep learning
generative ai
search
recommendation
python
go
c++