Описание

As a Senior GenAI Engineer in the GenAI team, you’ll play a key role in developing and enhancing generative AI products, building advanced algorithmic solutions that improve content discovery, personalization, and monetization at scale.

Responsibilities

Be responsible for the entire algorithmic lifecycle of our user facing multilingual GenAI product at scale DeeperDive: data analytics, offline and online evaluation of new LLMs, evaluate the quality of our generative content, minimize hallucinations, evaluate guardrails, tool use and router calls, and improve retrieval combined with NER
Improve personalized monetization flows and impact directly on the company’s revenue
Work on a daily basis with on prem LLMs hosted in our datacenters, cooperate with external providers and embrace SOTA technologies
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as DeeperDive, LLM monetization, Personalized user questions, organic recommendations and personalized ads

Requirements

M.Sc. in Computer Science, Mathematics, Engineering, or a related field
Strong Python, SQL and Spark skills
Familiarity with statistical modeling techniques
2+ years of hands-on experience designing, building and evaluating GenAI workflows, including Agentic RAG, Tool calls evaluation, LLM-as-a-judge, RLHF, and LLM fine-tuning
3+ years of experience in data science, analytics, and visualization
Excellent problem-solving and critical-thinking abilities
3+ years of hands-on experience developing traditional machine learning algorithms, and NLP models

Nice to have

Strong mentoring and public-speaking skills, with a passion for writing research papers and technical documentation and sharing knowledge at conferences
Experienced in Java or Scala

We offer

Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired