Machine Learning Engineering Technical Leader

Cisco Systems, Inc.; Seattle (WA); On-site; USD 234,000 - 297,000; Full time

Benefits offered by this job

Life insurance

Vision insurance

Parental leave

Paid holidays

Sick time

401(k)

Job summary

Cisco Systems, Inc. in Seattle, WA, invites Senior Staff Applied Scientist to lead theCode Generation group focused on automating code generation with GenAI techniques.

You will own research, model design, evaluation, and production rollout for next-generation AI systems in intelligent code generation. The role emphasizes scaling distributed training, safety, and collaboration with engineering and product teams to deliver high-impact customer capabilities.

Qualifications

• PhD in Computer Science, ML, AI or related field with 5+ years post-doc/industry experience or MS with 10+ years experience.
• 3+ years developing Large Language Models for program synthesis or DSLs
• 2+ years agentic AI for developer workflows
• 3+ years Python and deep learning frameworks (PyTorch or TensorFlow)
• 3+ years translating research prototypes into production systems with deployment and evaluation

Responsibilities

• Own end-to-end research and deployment of next-generation AI systems for intelligent code generation.
• Define the roadmap for agentic GenAI enabling models that reason, plan, self-correct and integrate with tools.
• Advance DSL-aware code synthesis for developer experiences powered by LLMs.
• Drive scalable distributed training and inference balancing performance, latency and cost.
• Collaborate with engineering/product to translate AI breakthroughs into customer capabilities.
• Mentor a high-performing research team and foster scientific rigor and delivery excellence.
• Shape long-term AI strategy and influence architectural decisions across GenAI.”],
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• COMPANY NAME: Cisco Systems, Inc.KEY POINTS: ML leadership, GenAI code generation, production deployment, distributed training

Skills

Python

Deep learning

Distributed training

Research to production

Code generation

LLMs

Agentic AI

Education

PhD in Computer Science or ML

MS in a related field

Tools

PyTorch

TensorFlow

Job description

Machine Learning Engineering Technical Leader

life insurance, vision insurance, parental leave, paid holidays, sick time, 401(k)

United States, Washington, Seattle

Sep 12, 2026

Meet the Team
Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi-cloud environments. Join the Code Generation group, where we work on automating the code generation process using GenAI techniques. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience, designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact-driven innovation, and cross-functional collaboration, all within a flexible, growth-oriented environment.
Your Impact
As a Senior Staff Applied Scientist, you will:

• Own the full lifecycle of research and deployment of next-generation AI systems for intelligent code generation, including model design, evaluation, and production rollout.

• Define 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.

• Advance the state of the art in DSL-aware code synthesis, shaping how future developer experiences are powered by LLMs across interactive and automation-driven workflows.

• Drive efficiency and scalability of distributed training and inference pipelines to balance performance, latency, and cost - without compromising accuracy or reliability.

• Collaborate closely with engineering and product to ensure AI breakthroughs translate quickly and safely into high-impact customer capabilities.

• Mentor and elevate a high-performing research organization, fostering a culture of scientific rigor, creativity, and delivery excellence.

• Shape 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 research experience; or a Master's degree in a related field and 10+ years of progressively responsible research experience.

• 3+ years experience in developing Large Language Models (LLMs) for program synthesis or formal languages

• 2+ years experience in Multi-step planning or agentic AI for developer workflows

• 3+ years experience with Python and deep learning frameworks such as PyTorch or TensorFlow.

• 3+ years 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.

• LLMs for Code Generation - 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).

• Domain-Specialized Modeling - Background building generative models that target structured languages (e.g., SQL, DSLs, configuration languages, or proprietary query languages/SPL).

• Agentic AI & Tool Use - Experience designing agents that plan, call tools/APIs, self-reflect, or execute code to iteratively refine solutions.

• Structured Reasoning & Planning - Proven success applying techniques such as chain-of-thought, self-debugging, constrained decoding, or reinforcement learning for code-oriented tasks.

• Large-Scale Training & Optimization - Experience with distributed training, efficient inference (quantization, LoRA, caching, batching), and cost-aware scaling.

• MLOps & Continuous Evaluation - Familiarity with automated model retraining, dataset curation, synthetic data pipelines, eval harnesses, and model health monitoring.

• Research Leadership - Publications in premier AI/ML venues (NeurIPS, ICML, ICLR, ACL, AAAI, KDD, etc.) and/or recognized contributions in the code-gen / LLM community.

Meet the Team
Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi-cloud environments. Join the Code Generation group, where we work on automating the code generation process using GenAI techniques. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience, designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact-driven innovation, and cross-functional collaboration, all within a flexible, growth-oriented environment.
Your Impact
As a Senior Staff Applied Scientist, you will:

Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada: 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, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:

• 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

• 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

• Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

• Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

• 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

• Additional paid time away may be requested to deal with critical or emergency issues for family members

• Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

• .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

• 1.5% of incentive target for each 1% of attainment between 50% and 75%;