Are you passionate about working on products that provide customer value? Do you enjoy building services that run ML pipelines with large data sets, and want to create innovative content for Splunk’s cybersecurity products?
Do you value working in an environment where you're empowered to build a modern ML pipeline solution that helps deliver efficient solutions for Splunk’s Observability and Security products?
If so, a role on the Splunk Customer Data Platform team could be an ideal fit for you.
Role:
We are seeking a senior engineer with ML & AI expertise, preferably with experience in ML model development, training and deployment flows to lead Splunk's Customer Data Platform delivery.
Your mission is to build a modern ML development pipeline, complete with curated datasets to fuel diverse content requirements, support training and execution runtimes that closely emulate live deployments. Splunk's customer data platform powers our product offerings in the Observability, SIEM and SOAR space, with an aim to deliver high efficacy content and workflows trained and optimized with curated pseudo-anonymized datasets, originating from customer environments.
Responsibilities:
- Lead the development of end-to-end ML systems, including data preprocessing, model training, evaluation, and deployment in production environments.
- Find opportunities for improvement with our ML-Ops processes and practices and promote these successfully within the team.
- Architect robust ML pipelines and scalable infrastructure using cloud platforms and distributed computing technologies.
- Build frameworks for curating training data, model evaluation, and monitoring deployed systems.
- Champion cross-team collaborations and drive the adoption of AI/ML tools across organizations. Ensure ML pipelines align with DevOps and ML-Ops industry friendly standard practices.
- Design, implement, and optimize ML algorithms and models to deliver customer value and build training datasets using large volumes of real production data.
- Stay updated on advancements in ML techniques (e.g., LLMs, personalization algorithms) to explore innovative applications for business needs.
- Innovate by prototyping new ideas and scaling successful solutions into production systems.
- Work with product managers to translate business requirements into technical solutions.
- Act as a liaison between technical teams and non-technical counterparts to communicate complex insights effectively.
- Ensure models meet data governance and privacy regulations and compliance rules (GDPR, HIPAA, CCPA etc).
- Ensure fairness, transparency, and ethical considerations in ML models by addressing biases in algorithm.
Required skills and qualifications:
- Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, or a related field.
- 10+ years of experience in applied machine learning or related fields.
- Strong programming skills in languages such as Python, Java, C++, or Scala.
- Expertise in data engineering, iterative ML model development using automated ML pipelines, distributed computing, cloud platforms (e.g., AWS, GCP), and ML frameworks (e.g., SageMaker, EMR Serverless, Glue, TensorFlow, PyTorch).
- Strong problem-solving capabilities with analytical thinking.
- Leadership skills to manage teams and drive critical initiatives.
- Excellent communication skills for multi-functional collaboration.
- Project management expertise to supervise timelines and resource allocation effective.
What We Offer You:
- A constant stream of new things for you to learn. We're always expanding into new areas, bringing in open-source projects and contributing back, and exploring new technologies.
- A set of exceptionally versatile and dedicated peers, all the way from engineering to product management and customer support.
- Growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.
- A stable, collaborative and supportive work environment.
- Fun. It is one of our core tenets.
- Work life balance - We want you to have a successful time outside of work too. Our colleagues are trusted to be responsible with their time and commitment, and that balance helps cultivate a positive environment.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Cisco is an Equal Opportunity Employer
At Cisco, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.
As part of Cisco's integration of Splunk and our ongoing job mapping process, the [job title and/or range] for this position was updated on June 28, 2025. This change reflects our commitment to aligning roles across the organization while ensuring consistency and clarity. The responsibilities and expectations for this role remain unchanged.
Base Pay Range
Base Pay Range: $178,500 - 282,000 per year
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees have
access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. 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%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
