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Senior NLP/LLM Engineer - San Francisco California

Company: Synthflow AI
Location: San Francisco, California
Posted On: 01/30/2025

This is a fully remote role, allowing you to work from anywhere in the world.About SynthflowAt we're building the easiest way for businesses to create AI-powered phone agents. No coding, no fuss-just smarter automation. We're passionate about delivering the future of voice technology with lightning-fast, scalable solutions. It's an exciting time at Synthflow: we're early, fast-growing, and laser-focused on impact. Join us to do the best work of your career while helping businesses thrive.About the roleWe're looking for a Senior NLP Engineer to create groundbreaking LLM applications.Your responsibilities will include:

  • Develop and enhance large language models (LLMs) for various NLP tasks including text generation, language understanding, and conversational AI.
  • Implement state-of-the-art machine learning techniques for natural language processing and ensure their integration into our product infrastructure.
  • Collaborate with cross-functional teams to translate business and technical requirements into robust NLP solutions.
  • Conduct experimental design and hypothesis testing to evaluate model performance and iterate based on results.
  • Stay abreast of the latest developments in NLP and LLM research to continuously innovate and apply best practices to our projects.Who you are:
    • Passionate about NLP and experienced in building and deploying large language models.
    • Skilled in programming, particularly in Python, and familiar with NLP libraries such as Hugging Face Transformers, NLTK, or spaCy.
    • Adept at working in fast-paced environments and translating complex technical challenges into actionable solutions.
    • Strong communicator with the ability to collaborate effectively with both technical and non-technical team members.What you bring:
      • Master's degree in Computer Science, AI, Linguistics, or a related field.
      • At least 4 years of experience in NLP or related fields, with a strong focus on machine learning.
      • Proficiency in machine learning frameworks such as TensorFlow or PyTorch.
      • Demonstrated experience with model training, LLM fine-tuning, and deployment in a production setup.What We Offer:
        • Autonomy at speed: High-ownership roles in a fast-moving startup.
        • Remote-first flexibility: Contribute from anywhere, on your schedule.
        • Cutting-edge technology: Work on what interests you most.
        • Career growth: Scale your impact as the company grows.
        • Rewarding package: Competitive pay, equity options, and comprehensive benefits that reflect your skills and experience.
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