Engineering

- Hybrid Remote

Apply Now

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.

Splunk is an Equal Opportunity Employer

Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Note:

Base Pay Range

SF Bay Area, Seattle Metro, and New York City Metro Area

Base Pay Range: $203,200.00 - 279,400.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay Range: $182,880.00 - 251,460.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay Range: $162,560.00 - 223,520.00 per year

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.

Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https://splunkbenefits.com.

Apply Now

Explore open roles >

Splunk's Hiring Practices

^{Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.}

^{We value diversity, equity, and inclusion at Splunk and are committed to equal employment opportunity. 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. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement. If you need assistance or an accommodation to apply or during the hiring process, please let us know by completing our Accommodation Request form.}

^{Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk’s Career Site Privacy Policy.

Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.

Splunk is committed to the health and safety of our employees and customers. Splunk is impacted by the mandates outlined for U.S. Government contractors in President Biden’s Path out of the Pandemic: COVID-19 Action Plan. As a result, Splunk requires U.S. employees, whether assigned to an office or 100% remote, to provide proof of full vaccination, as defined by the CDC. Splunk provides reasonable accommodations for employees who have qualifying medical or religious reasons.

Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to accessiblecareers@splunk.com. Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.

Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.

To check on your application click here.}