Applied Scientist (FULLY REMOTE in Bay Area, NYC, Seattle)

Splunk; San Francisco (CA); Remote; USD 130,000 - 180,000; Full time

Job summary

A leading technology company is looking for an Applied Scientist to join their remote team. This role focuses on developing AI/ML models for enhancing cybersecurity and observability products. Candidates should have a strong background in AI/ML, with experience in deploying models and collaborating across teams. The position offers competitive pay, benefits, and flexible work arrangements.

Benefits

Competitive pay

Flexible work arrangements

Incentives and equity

Qualifications

• PhD in Computer Science or related field, or MS with 2-3 years industry experience.
• Experience training and fine-tuning Large Language Models (LLMs).
• Proficiency with ML frameworks like TensorFlow or PyTorch.

Responsibilities

• Develop and optimize core AI/ML models and algorithms for cybersecurity and observability.
• Collaborate with software engineers, scientists, and product managers to integrate AI solutions.
• Keep updated with AI/ML research and incorporate new advancements.

Skills

AI/ML

Deep Learning

NLP

Unsupervised Learning

Time Series Anomaly Detection

Communication

Education

PhD in Computer Science or related field

MS with 2-3 years industry experience

Tools

TensorFlow

PyTorch

Job description

Applied Scientist (FULLY REMOTE in Bay Area, NYC, Seattle)

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Job Overview

We are seeking an Applied Scientist to join our team remotely from the Bay Area, NYC, or Seattle. This role involves developing AI/ML models, collaborating with cross-functional teams, and staying abreast of the latest research in AI/ML to enhance our cybersecurity and observability products.

Responsibilities

1. Develop and optimize core AI/ML models and algorithms for cybersecurity and observability.
2. Collaborate with software engineers, scientists, and product managers to integrate AI solutions into products.
3. Keep updated with AI/ML research and incorporate new advancements into our technology roadmap.
4. Participate in strategic discussions on AI research and product development.

Minimum Qualifications

• PhD in Computer Science or related field, or MS with 2-3 years industry experience.
• Experience training and fine-tuning Large Language Models (LLMs).
• Experience with time series anomaly detection.
• Strong background in AI/ML, including deep learning, NLP, and unsupervised learning.
• Proven experience with deploying large-scale models into production.
• Proficiency with ML frameworks like TensorFlow or PyTorch.
• Excellent communication skills.
• Experience in cybersecurity or observability is a plus.

Additional Information

Splunk offers competitive pay, benefits, and flexible work arrangements. The salary range varies by location and experience. This role is eligible for incentives, equity, and other rewards. Learn more about benefits at splunkbenefits.com.