Role overview
- Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers
- Take on exciting and difficult challenges in conversational agent domains, such as agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (eg Tree of Thoughts / Graph of Thoughts), fine-tuning LLMs for tool use and enterprise reasoning (including preference alignment with RLHF/RLAIF/DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
- Push the envelope of Moveworks commitments to responsible AI, expanding our infrastructure for ensuring models work equally well for all people, red-teaming models to ensure they behave safely and as intended, and keeping our ML at the cutting edge of data privacy and security
- Use your knowledge of machine learning fundamentals and LLMs to design new algorithms and architectures, evaluate them with small scale experiments and productionize your solutions at scale
- Research and develop innovative, scalable and dynamic solutions to hard problems
- Use the latest advances in machine learning and LLMs to enhance our products and create delightful user experiences
- Spend time weekly reading, discussing, and potentially building models out of the latest ML research and open-source code
*Qualifications
To be successful in this role you have:**
- Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components
- Ability to solve problems end-to-end with machine learning
- Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes
- Attention to detail and high standard of data quality for training and especially evaluation datasets
- Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
- Knowledge of deep learning architectures and algorithms and leading large language models
- Desire to work at a startup pace in a medium-sized company with a high degree of ownership
- Drive to ship product improvements with production-grade code
- Strong appetite for continuous incremental wins and completing challenging projects fast
- High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of NLU & AI
*Additional Information
Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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