Principal Machine Learning Engineer – 30524 Full-time

Join us as we pursue our exciting 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 are 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!

As a Principal Machine Learning Engineer in the Artificial Intelligence group, you will be hands-on in developing and driving the core AI/ML capabilities that power the entire Splunk product portfolio. You will focus on building scalable, production-grade models, algorithms, and tools that form the backbone of our AI-driven product features. Collaborating with multi-functional teams, you will play a pivotal role in shaping the AI engineering landscape, with a strong emphasis on the application of pioneering research and deployment.

Responsibilities

• Develop Core AI Engineering Capabilities: Design and implement AI/ML models and orchestration that drive critical use cases across Splunk’s product offerings.
• Build Production-Ready AI Agents: Design, implement, and fine-tune conversational AI solutions, including chatbots and virtual assistants, using natural language processing (NLP), dialogue management systems, and large language models (LLMs).
• Research and Innovation: Stay at the forefront of AI/ML developments, incorporating pioneering research into practical, applied solutions. Investigate and integrate new methodologies, such as advancements in Gen AI and LLMs, into our product ecosystem.
• Collaborate Across Teams: Partner with diverse teams including product managers, data scientists, and software engineers to align AI/ML engineering efforts with business goals. Ensure a clear, iterative approach to building AI-powered product features.
• Mentorship and Skill Development: While this is a hands-on engineering role, you will also mentor and guide junior engineers, fostering a culture of learning and growth within the team.
• Lead by Example: Serve as a role model in coding practices, technical design, and problem-solving. Provide technical leadership and guidance across complex projects, setting high standards for engineering excellence.

Requirements

• 9+ years of total professional experience, including a minimum of 5 years in the machine learning domain.
• In-depth AI/ML Expertise: Extensive experience and expertise in machine learning, deep learning, and statistical modeling, with a focus on large-scale deployment.
• Hands-on Engineering Experience: Proven track record of building and deploying production-grade AI/ML systems.
• Generative AI and LLM Expertise: Significant experience working with generative AI models, large language models (LLMs), and integrating them into enterprise-level applications.
• Conversational AI Expertise: Proven experience in building and deploying conversational AI systems, including NLP, intent recognition, and dialogue management. Expertise in designing RAG pipelines and implementing guardrails to ensure robust, secure, and ethical chatbot interactions.
• Coding and Algorithm Development: Proficiency in modern programming languages such as Python. Strong skills and experience with ML-specific tools like TensorFlow, PyTorch, Scikit-learn, etc.

Splunk is an Equal Opportunity Employer: At Splunk, 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.

Note:

Base Pay Range

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Base Pay: [“Currency”] [“Job Code Hiring Range: Non-Sales Base Pay OR Sales OTE”] 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 comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more! Learn more about our next-level benefits at https://splunkbenefits.com .