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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 https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.