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Our stack
Google Cloud Platform
Data Storage: GS, PostgreSQL (CloudSQL), BQ, ClickHouse
Language: Python
Tools: Airflow, k8s, Docker, FastAPI, gRPC, celery, NumPy, Pandas, SciPy
LLM APIs: OpenAI, Google, Anthropic, Perplexity
Examples of our projects
Keyword search volumes: A metric showing how many times people search for a specific keyword in search engines.
Personal keyword difficulty: A personalized evaluation of how difficult it is to promote a specific domain for a particular keyword.
Keyword search intent: The goals users pursue when making a request in a search engine.
Brand performance: An evaluation of how often LLMs mention a brand in their responses.
Authority score: An indicator of both the quantity and quality of a backlink profile.
Who we are looking for
3+ years of experience as a DS or MLE
Knowledge of Natural Language Processing (NLP) techniques (TF-IDF, BERT, FastText)
Strong understanding of machine learning algorithms, probability theory, statistics, and linear algebra
High proficiency in Python and the ML stack
Hands-on experience with LLMs
Knowledge of SQL
Not required, but a plus
Practical knowledge of RAG and building AI agents
Experience deploying and maintaining LLM-based solutions in production
Experience with GCP and Vertex AI
Experience developing ETL processes with Airflow
You share our common values: Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it's not worth wasting time on something you don't believe in; and enthusiasm for Constant Changes, because we are always looking to make things better
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Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.
Sign up now at and let the opportunities come to you.