unifyCX is Hiring! Urgent Opening Applied Scientist - Machine Learning

Applied Scientist - Machine Learning

About Us

UnifyCX is pioneering AI-driven customer experience solutions at scale, blending cutting-edge technology with human-centric design. Our AI Engineering team is looking for an Applied Scientist to drive our most ambitious projects forwards!

Our environment is dynamic and experiment-driven, and youll have the opportunity to shape solutions that transform the CX landscape for businesses worldwide. If you’re excited about being on the cutting edge of AI research and deployment, we want to hear from you!

Role Overview

You will join a highly cross-functional team to develop cutting-edge ML solutions that redefine AI-human interaction across text, audio, and conversational modalities. You will address complex challenges to guide the science roadmap—spanning tasks like domain aware intent recognition, content intelligence, and conversational analytics to data efficient model training and privacy-preserving AI guardrails. You will prototype, optimize, and deploy high-performing ML models in production, ensuring both efficiency and rigorous model governance. Working closely with engineers, you will design end-to-end pipelines that meet strict latency and throughput demands.

You will also get to explore and investigate new research in AI—particularly around large language models and voice-enabled AI—to identify and apply cutting-edge techniques that elevate our enterprise solutions for customer support delivery. As a mentor to scientists and engineers, you will foster a culture of continuous learning and innovation, providing technical guidance and expertise.

Qualifications

Required

• Master’s degree in Computer Science, Machine Learning, Statistics or a related field.
• 3+ years of experience building ML models for industry use cases.
• Strong machine learning fundamentals.
• Proficiency in Python and significant hands-on experience with PyTorch or TensorFlow, including custom model architectures and performance tuning.
• Demonstrated understanding of Transformer architectures (e.g., BERT, GPT), RNNs, and text embedding methods, with exposure to speech or multi-modal data.
• Proven track record turning research into applied engineering solutions for production

Preferred

• PhD in Computer Science, Machine Learning, or related field.
• Publication or research experience in top-tier journals or conferences, demonstrating contributions to the ML/AI community.
• Expertise in privacy-preserving ML (e.g., federated learning, differential privacy), content filtering, and other safety/ethical guardrails for AI deployment in regulated industries.
• Experience with SoTA learning paradigms like self-supervised and contrastive learning, meta-learning, transfer learning and reinforcement learning for model development.

We welcome all

UnifyCX strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We want to know what only you can bring to Unify.