Level

Outreach

Senior Applied Scientist

Outreach is hiring a Senior Applied Scientist in Seattle, United States. It pays $140k-$175k a year and Level rates it ; you can apply on Outreach.

Level's read on this job

  • On Level's scale, this applied scientist role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Databricks, Python and PyTorch.
  • Level classifies it as a senior role.
  • Level lists 22 other open roles at Outreach.

AI in this role

Research and build advanced agentic AI capabilities and ML models for revenue orchestration platforms.

databrickspythonpytorchllm
machine-learningapplied-sciencedialog-understandingagentic-ainlp
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 at Outreach. 

We 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. 

How we rate this

Senior Applied Scientist at Outreach rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningApplied ScienceDialog UnderstandingAgentic AINLPDatabricksPythonPyTorch

Also common in applied scientist jobs at this level

Pay

This job starts at
$140k
Typical applied scientist job
$172k

This posting starts 18% below the typical applied scientist job. See applied scientist jobs

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where applied science was part of your work. What did you do?
  3. Tell me about a project where dialog understanding was part of your work. What did you do?
  4. Tell me about a project where agentic ai was part of your work. What did you do?
  5. What NLP problem have you worked on, and how did you measure whether it actually worked?

Adapt your resume

  • List these exact terms on your resume: Machine learning, Applied Science, Dialog Understanding, Agentic AI, and NLP. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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