Senior Principal Machine Learning Engineer-AI
Location: Mount Rainier
Posted on: June 23, 2025
|
|
|
Job Description:
Join us as we pursue our disruptive new vision to make machine
data accessible, usable and valuable to everyone. We are a company
filled with people who are passionate about our product and seek to
deliver the best experience for our customers. At Splunk, we’re
committed to our work, customers, having fun and most importantly
to each other’s success. Learn more about Splunk careers and how
you can become a part of our journey! Role: As the Senior Principal
Machine Learning Engineer in the Artificial Intelligence group, you
will be a key player in defining and executing the technical
roadmap for the team, as we develop the core AI/ML capabilities to
power the entire Splunk product portfolio and help our customers to
drive their journey to digital resiliency. You will collaborate
with cross-functional teams, mentor junior team members, and help
drive the end-to-end product development lifecycle from ideation to
production. Responsibilities: The responsibilities of this role
include: • Lead the development of core AI/ML models and algorithms
that drive our product’s key use cases in the cybersecurity and
observability domains. • Collaborate with product managers to
translate the business and product requirements into concrete
objectives for our technology roadmap. • Provide technical guidance
and mentorship to team members to ensure the development of their
skills. • Actively participate in cross-functional discussions and
strategic decisions related to AI research directions and product
roadmaps. • Collaborate with fellow technical leaders to ensure the
successful and timely delivery of AI/ML models and service
integration. • Stay up to date with the latest research and
developments in the field of AI/ML, and ensure that these
advancements are properly incorporated into our technology roadmap.
• Develop production code and advocate for the best coding and
engineering practices. • Participate in project planning, review,
and retrospective sessions. • Identify and mitigate risks in our
plans and executions, especially at the intersection of business
and engineering Requirements : Knowledge, Skills, and Abilities: •
PhD in Computer Science or a related field with at least 10 years
of experience OR MS in Computer Science or related field with at
least 15 years of industry experience • Demonstrated experience in
leading impactful AI product development at scale. • Deep
understanding of ML frameworks (e.g., TensorFlow, PyTorch) and
programming languages commonly used in AI research. • In-depth
knowledge and proven track record in AI/ML technology, including
deep learning, time series modeling, natural language processing,
and unsupervised learning. • In-depth knowledge and proven track
record in Generative AI technology and Large Language Models (LLM).
• Experience developing large-scale, complex models and deploying
them in production systems. • Experience large-scale data
processing and parallel computing – GPU, multi-GPU and distributed
training • Commitment to staying up-to-date with the field and
applying academic advances to solve complex business problems, and
bringing them into production. • Strong problem-solving skills and
the ability to translate research insights into practical solutions
that address real-world challenges. • Excellent communication
skills with the ability to articulate complex technical concepts to
both technical and non-technical audiences. • Experience in
mentoring and guiding junior researchers or team members. •
Experience in the Cybersecurity and/or Observability industry is
preferred.
Keywords: , Washington DC , Senior Principal Machine Learning Engineer-AI, Engineering , Mount Rainier, DC
