Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
What you get to do in this role:
Own the endtoend lifecycle of models (problem framing data training evaluation deployment monitoring).
- Design features and labeling strategies; improve data quality with heuristic and programmatic techniques (e.g. weak supervision active learning synthetic data generation via LLMs).
- Train tune and compare models (treebased linear/GLM deep learning seq2seq recommendationLLMs) with reproducible pipelines.
- Build and tune approriate information retrieval for RAG use cases (e.g. dense and sparse retrieval) engineering the right context for the task.
- Implement rigorous offline metrics and online A/B experiments; define guardrails and SLOs for quality latency and cost.
- Develop efficient API endpoints for model inference and ensure they are scalable and production ready (e.g. containerization load balancing auto-scaling monitoring logging alerting and incident response) and meet product requirements.
Qualifications :
To be successful in this role you have:
- Experience with AI developer productivity tools like Windsurf Cursor and prompt tuning is required along with the ability to apply AI techniques to practical engineering problems.
- We are seeking individuals who can quickly prototype optimize prompts and develop scalable impactful AI-driven solutions.
- 5 years of hands on experience in ML/AI engineering with a strong focus on building and deploying AI/GenAI applications.
- Proficiency in Python (ML libraries GenAI/LLM frameworks) and Java (enterprise application development OOP).
- Practical experience developing with LLM frameworks such as LangChain LangGraph and vendor SDKs/APIs (OpenAI Anthropic etc.).
- Experience in using Al productivity tools such as Cursor Windsurf etc. is a plus or nice to have
- Experience with methods of training and fine-tuning large language models such as distillation supervised fine-tuning and policy optimization is a plus or nice to have.
- Strong skills in prompt engineering and designing agentic reasoning pipelines.
- Solid understanding of ML evaluation techniques and experience in implementing model monitoring & metrics.
- Proven ability to debug and optimize inference pipelines for performance and cost efficiency.
- Strong problem solving skills with the ability to work in fast paced agile development environments.
- Bonus: Contributions to open-source projects blogs or technical papers in LLM/GenA
Additional Information :
Work Personas
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Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance.
Export Control Regulations
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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Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
