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Senior Applied Scientist

Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98127, USA
Listing for: We Love AI Jobs
Full Time, Remote/Work from Home position
Listed on 2026-10-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 175000 USD Yearly USD 140000.00 175000.00 YEAR
Job Description & How to Apply Below
# Senior Applied Scientist Outreach Seattle , WA (Hybrid)
Full-time $140,000 – $175,000 / year Upload your resume once and Scout applies for you Apply with Scout Share this job:

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You will build and product ionize machine-learning systems that turn voice streams, transcripts, and CRM data into useful sales intelligence. The role combines applied ML research with production engineering, working alongside engineers and product managers on Outreach’s agentic AI capabilities.
* Full-time
* Hybrid* 2+ years
* Master’s Degree or PhD### Skills and expertise

Machine learning

Natural language processingLLM-based systems

Python Java Go C++Cloud-based AI application deployment### Key responsibilities
* Build AI systems that extract structured intelligence and actionable insights from voice streams and transcriptions.
* Engineer reliable, low-latency AI pipelines across distributed components.
* Prototype and optimize ML and LLM solutions, taking promising approaches toward production.## How this job compares

Compared with 410 open senior machine learning jobs on October 10, 2026.Pay:
This job pays $140K to $175K a year. The 143 open senior machine learning jobs that publish US pay start at $186K on average, so this job starts about 25% lower.

Similar open jobs:
We Love AI Jobs lists 410 open senior machine learning jobs at 176 companies.

Remote work:
This job is hybrid. 90 of the 410 senior machine learning jobs (22%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. Building, evaluating, and deploying ML and LLM systems is the central work of the role. The scientist will develop AI capabilities for voice processing and agentic workflows.## Full description

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions.

Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.

About the Team The Dialog Understanding and Generation team is building the industry's most advanced agentic AI capabilities for revenue orchestration, the end-to-end coordination and execution of sales and customer engagement workflows. Our mission is to transform raw customer interactions and CRM data into structured intelligence that powers the entire revenue lifecycle.

We operate at the intersection of machine learning, LLM-powered systems, and cloud-scale engineering, driving both current and next-generation AI initiatives  are a team of applied data scientists who thrive on solving complex scientific and engineering challenges. The work is roughly an even split between applied ML research and production engineering, so you should be excited about both. You'll collaborate closely with exceptional engineers and product managers in a fast-moving, high-impact environment, applying your creativity and expertise to build innovative solutions that push the boundaries of agentic AI.Your

Daily Adventures Will Include:
• Building AI-powered systems that process voice streams and real-time transcriptions to extract structured intelligence, contextual signals, and actionable insights.
• Engineering high-availability AI pipelines across distributed, cross-team components to ensure reliable,…
Position Requirements
10+ Years work experience
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