TL;DR

Senior Machine Learning Engineer (AI): Develop and deploy state-of-the-art AI models and systems for GenAI-powered products like %hirify_global% Assistant and AI/BI Genie with an accent on LLM quality, fine-tuning, and scalable ML architectures. Focus on designing ML pipelines, building backend systems, and collaborating cross-functionally to enhance AI-driven user experiences.

Location: Must be based in or work onsite at Mountain View, CA, USA

Salary: $166,000–$210,250 USD

Company

%hirify_global% is a leading data and AI company powering over 10,000 organizations worldwide with its Data Intelligence Platform, founded by creators of Apache Spark and MLflow.

What you will do

Drive development and deployment of advanced AI models and systems impacting %hirify_global% products.
Develop novel data collection, fine-tuning, and LLM technologies for optimal task performance.
Design and implement ML pipelines for preprocessing, feature engineering, training, and evaluation.
Collaborate with AI researchers, ML engineers, and product teams to deliver impactful AI solutions.
Build scalable backend systems supporting GenAI products with robust logging and evaluation tools.

Requirements

Location: Must be able to work onsite in Mountain View, CA, USA
2-8 years of machine learning engineering experience or equivalent ML research background.
Strong experience with language modeling technologies, generative and embedding techniques.
Proficiency in Python, TensorFlow or PyTorch, and scalable ML architectures.
Ability to manage end-to-end model development from research to deployment and monitoring.
Strong coding and software engineering skills with knowledge of testing and deployment principles.

Nice to have

Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).

Culture & Benefits

Comprehensive benefits tailored to employee needs.
Commitment to diversity and inclusion in hiring and workplace culture.
Opportunity to work with cutting-edge AI models and a world-class team.