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Job Type

Full Time

Job Description

Role description: This role is with one of our prominent portfolio companies.


About Us

We are a startup building next-generation AI products that redefine how humans interact with machines, from smart voice assistants to automated customer conversations, voice-driven tools, and more.

We are at the intersection of speech technology, large language models, and real-time systems, backed by leading investors and supported by domain experts.


What You'll Do:

  • Design and develop large-scale recommendation systems (ranking, retrieval, personalization, collaborative & content-based filtering).
  • Build and deploy Generative AI solutions using LLMs for personalization, content generation, and intelligent user interactions.
  • Own end-to-end ML lifecycle as data pipelines, feature engineering, model training, evaluation, deployment, and monitoring.
  • Optimize model performance for latency, scalability, and cost in high-traffic production environments.
  • Collaborate closely with product, backend, and data teams to align AI systems with business objectives.


Who You Are:

  • 8+ years of experience in Machine Learning / AI engineering with strong production exposure.
  • Deep expertise in recommendation systems, including ranking models, embeddings, user/item representations, and real-time inference.
  • Hands-on experience with Generative AI & LLMs (prompt engineering, fine-tuning, RAG, agents, model orchestration).
  • Strong programming skills in Python with experience using ML frameworks (PyTorch / TensorFlow) and data tools.
  • Experience building and scaling AI systems on cloud infrastructure, including model deployment, monitoring, and A/B experimentation.
  • Strong problem-solving skills with a product-first mindset.
  • Self-starter who thrives in high-ownership, fast-paced environments.
  • Excellent written and verbal communication

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Elevation Capital

Venture Capital

San Francisco

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