NICE
SeniorAI&MLResearcher
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI&ML Researcher at NICE. Skills: Machine Learning, GenAI, Agentic AI, ML-Ops. Develop end-to-end ML systems. Train production-level models”
What You'll Achieve.
Improve existing solutions; Create new services
Industry & Context.
Analytical thinker; Drive conclusions
What They're Looking For.
Must Have
5+ years of experience as an applied researcher or research engineer, Hands-on Python developer, Hands-on with PyTorch, ML-Ops and cloud experience, Experience with mathematical optimization, Hands-on experience designing and building agentic AI flows, Experience working in an agile environment
Nice to Have
MSc in Computer Science or an equivalent engineering field, Experience with HuggingFace, Experience with scikit-learn, Experience with pandas/SQL, Containerization with Docker, LLM-specific experience, RAG experience, Fine-tuning experience, Evaluation frameworks experience
What You'll Do.
Develop end-to-end ML systems
Train production-level models
Serve production-level models
Deploy agentic AI systems
Design agentic AI flows
Build agentic AI flows
Optimize shift schedules
Integrate new features
Integrate new solutions
Run unstructured evaluation processes
Find noteworthy phenomena
Feed conclusions back to team
Own projects end-to-end
How You'll Work.
Team & Collaboration
Cross-sectional team; Agile environment
Process & Methodology
Agile, Efficient planning, Efficient delivery
Full Job Description
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? As a Senior AI&ML Researcher in our Workforce Management group, you will be part of a cross-sectional team working at the intersection of machine learning, GenAI, agentic AI, ML-Ops and Operations Research. You will develop the next generation of NICE’s Workforce Management solution for our customers’ contact centers - forecasting work volume, scheduling agent shifts, managing time-off requests, and owning the full lifecycle of the work schedule, in a high-stakes production environment serving many customers. Our solution has been recognized as the market leader for over 10 years. How will you make an impact? Developing end-to-end ML systems, tailored to specific project needs, to train and serve production-level models in a high-stakes environment. Deploying GenAI and agentic AI systems to customers in production, improving on existing solutions or creating new services from scratch. Designing and building agentic AI flows - tool use, multi-step reasoning, and orchestration. Forecasting work volume and optimizing shift schedules using time-series methods and mathematical optimization. Integrating new features and solutions into large existing software systems, stringing multiple disciplines together. Running unstructured evaluation processes - finding noteworthy phenomena, experimenting, and feeding conclusions back to the team. Owning projects end-to-end, leading team members and colleagues to efficient planning and delivery. Have you got what it takes? 5+ years of experience as an applied researcher or research engineer. Loves reading and writing code. Hands-on Python developer - training models, using trained models, data carpentry, preprocessin
Applying for this Senior AI&ML Researcher role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about NICE?
Real rants from real employees. Read before you apply.