# Machine Learning Engineering Technical Leader **Company**: Splunk, a Cisco company **Location**: Seattle, Washington **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Salary**: $234,400.00 to $296,600.00 **Category**: Engineering **Industry**: Technology **Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Seattle-Washington-US/Machine-Learning-Engineering-Technical-Leader_2023913?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_238bf3f4-e69 ## Description ## Job Overview As a Machine Learning Engineering Technical Leader, you will join the Code Generation group at Splunk, a Cisco company, where you will work on automating the code generation process using GenAI techniques. You will be part of a culture that values technical excellence, innovation, and collaboration. ## Your Impact You will own the full lifecycle of research and deployment of next-generation AI systems for intelligent code generation. Your responsibilities will include: - Defining the scientific roadmap for agentic GenAI, enabling models that not only generate code but reason, plan, self-correct, and integrate with tools and runtime environments. - Driving efficiency and scalability of distributed training and inference pipelines to balance performance, latency, and cost. - Collaborating closely with engineering and product to ensure AI breakthroughs translate quickly and safely into high-impact customer capabilities. - Mentoring and elevating a high-performing research organization, fostering a culture of scientific rigor, creativity, and delivery excellence. - Shaping long-term AI strategy and innovation, influencing architectural decisions, technical investments, and roadmap direction across the GenAI organization. ## Minimum Qualifications - PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field and 5+ years of post-doctoral or industry experience; or a Master’s degree in a related field and 10+ years of industry experience. - 3+ years of experience in developing Large Language Models (LLMs) for program synthesis or formal languages. - 2+ years of experience in Multi-step planning or agentic AI for developer workflows. - 3+ years of experience with Python and deep learning frameworks such as PyTorch or TensorFlow. - 3+ years of experience translating research prototypes into production systems, including model deployment, optimization, and evaluation. ## Preferred Qualifications - Strong foundation in experimental design, benchmarking, reproducibility, evaluation metrics, and scientific documentation. - Experience with training, fine-tuning, or adapting models such as Code-LLaMA, CodeT5, StarCoder, or GPT-based code models for program synthesis, refactoring, unit test generation, static/dynamic analysis, or domain-specific languages (DSLs). - Background building generative models that target structured languages (e.g., SQL, DSLs, configuration languages, or proprietary query languages/SPL). - Experience designing agents that plan, call tools/APIs, self-reflect, or drive code to iteratively refine solutions. - Proven success applying techniques such as chain-of-thought, self-debugging, constrained decoding, or reinforcement learning for software development tasks. - Experience with distributed training, efficient inference (quantization, LoRA, caching, batching), and cost-aware scaling. - Familiarity with automated model retraining, dataset curation, synthetic data pipelines, eval harnesses, and model health monitoring. - Publications in premier AI/ML venues (NeurIPS, ICML, ICLR, ACL, AAAI, KDD, etc.) and/or recognized contributions in the code-gen / LLM community. ## Benefits - Medical, dental, and vision insurance. - 401(k) plan with a Cisco matching contribution. - Paid parental leave. - Short and long-term disability coverage. - Basic life insurance. - Paid time away (10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees). - Flexible vacation time off program. - 80 hours of sick time off provided on hire date and each January 1st thereafter. - Optional 10 paid days per full calendar year to volunteer. ## Salary Information The starting salary range posted for this position is $234,400.00 to $296,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations. ## Skills ### Required - PhD in Computer Science - Machine Learning - Artificial Intelligence - Large Language Models - Python - PyTorch - TensorFlow ### Nice to have - Experimental design - Benchmarking - Reproducibility - Evaluation metrics - Scientific documentation - Code-LLaMA - CodeT5 - StarCoder - GPT-based code models - Distributed training - Efficient inference - Cost-aware scaling - Automated model retraining - Dataset curation - Synthetic data pipelines - Eval harnesses - Model health monitoring --- Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Seattle-Washington-US/Machine-Learning-Engineering-Technical-Leader_2023913?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)