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:
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.
