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