Senior Applied Scientist, AI (FULLY REMOTE-USA)

Lensa; Washington (District of Columbia); Remote; USD 139,000 - 241,000; Full time

Job summary

A leading company in AI seeks a Senior Applied Scientist to enhance product capabilities. The role involves developing AI/ML models, mentoring, and collaborating with cross-functional teams. Ideal candidates will have a strong background in deep learning and experience in cybersecurity.

Benefits

Health Coverage

401(k)

Paid Time Off

Qualifications

• PhD or MS with relevant experience in AI/ML.
• Experience with LLMs and time series anomaly detection.

Responsibilities

• Lead development of AI/ML models for cybersecurity.
• Collaborate with teams to integrate generative AI solutions.

Skills

Problem Solving

Communication

Education

PhD in Computer Science

MS in related field

Tools

ML frameworks

Job description

Senior Applied Scientist, AI (FULLY REMOTE-USA)

Join us as a Senior Applied Scientist in the Artificial Intelligence group at Splunk, a Cisco company. You will develop core AI/ML capabilities to enhance our product portfolio, collaborate with cross-functional teams, mentor junior members, and shape the scientific roadmap.

Responsibilities

• Lead development of AI/ML models for cybersecurity and observability.
• Collaborate with engineers, scientists, and product managers to integrate generative AI solutions.
• Stay current with AI/ML research and incorporate advancements into our technology.
• Mentor team members and contribute to strategic AI research and product planning.

Requirements

• PhD in Computer Science or related field with ≥1 year experience OR MS with 3-4 years industry experience.
• Experience training and fine-tuning LLMs and with time series anomaly detection.
• Proven expertise in deep learning, NLP, unsupervised learning, and generative AI.
• Experience deploying large-scale models into production.
• Strong problem-solving, communication skills, and familiarity with ML frameworks.
• Experience in cybersecurity or observability is preferred.

Additional Details

This role offers flexible remote work options across the US, with competitive pay based on location and experience. Benefits include health coverage, 401(k), paid time off, and more. Salary ranges vary by location, from approximately $139,840 to $240,350 annually.