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 a Senior Applied Scientist in the Artificial Intelligence group, you will be responsible for developing 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 scientific roadmap of the area.
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 closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services.
- 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.
- 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.
Requirements : Knowledge, Skills, and Abilities :
- PhD in Computer Science or a related field with at least 1 years of experience OR MS in Computer Science or related field with at least 3-4 years of industry experience
- Experience training and fine tuning LLMs
- Experience with time series anomaly detection
- 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 and taking them from research to production systems.
- Strong problem-solving skills and the ability to translate research insights into practical solutions that address real-world challenges.
- Deep understanding of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages commonly used in AI research.
- Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Experience in the Cybersecurity and / or Observability industry is preferred.
Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible)
Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible). We are committed to building world-class applied science and engineering teams and continue our industry leading ...
Senior Trial Attorney, Northern California (fully remote) (49364)
Senior Trial Attorney, Northern California (fully remote) (49364). If you are an experienced litigator with first-chaired civil trial experience to verdict (or the equivalent dispositive ADR experience) and you're seeking flexibility and autonomy - but are ready to leave the stress of billable hours...
Senior Applied Scientist, Amazon Health, Amazon
Senior Applied Scientist, Amazon Health, Amazon. We are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and co...
Senior Engineer - Generative AI Product Engineering (Remote-Eligible)
We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco and San Jose, California (Hybrid On-Site):...
Senior Applied Scientist, Artificial General Intelligence
As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. The Artificial General Intelligence (AGI) team is looking for a highly ski...
Remote - Senior Generative AI Engineer
Title: Senior Generative AI EngineerLocation: Remote (Prefer profiles from PST)Duration: Long TermJob Experience Requirements: " 10+ years Proficiency in Python and experience with Langchain, pyspark, PyTorch, Tensorflow, Streamlit and other relevant tools" Prompt Engineering and AI Chatbot A...
Senior Principal Applied Scientist, Amazon Rufus
As a Senior Principal Applied Scientist in Search and Shopping, you will have deep expertise in machine learning and data science, with specialties in large language models, reinforcement learning, supervised learning, and generative AI across various modalities. Senior Principal Applied Scientist, ...
Senior/Staff Product Designer NYC, San Jose, or Remote
Hume AI is seeking an experienced product designer to join our team and help design the future of AI interfaces. We have just raised a Series B funding round and are launching a new flagship product, an empathic AI assistant that can be built into any application. AI models trained with RLHE can ser...
Sr Principal Applied Scientist, Ring AI
As a Senior Principal Scientist in Ring and Blink, you will have deep subject matter expertise in the areas of Artificial Intelligence. More specifically, you will provide thought leadership on and lead strategic efforts in Computer Vision (CV) and Machine Learning (ML) areas for Ring and Blink, cov...
Senior Applied Scientist
We are looking for a Senior Applied Scientist with Research and Development (R&D) background to conduct R&D on intelligent search advertising systems to mine and learn actionable insights from large scale data and signals we collect from user queries and online activities, advertiser created campaig...