Home › Companies › Outreach › Senior Applied Scientist
Senior Applied Scientist
Outreach · Seattle, WA · Hybrid · Active · $140,000–$175,000 / year · Lever
Job facts
| Field | Value |
|---|---|
| Company | Outreach |
| Title | Senior Applied Scientist |
| Normalized title | - |
| Department / team | Engineering / Voice |
| Location | Seattle, WA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $140,000–$175,000 / year |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2026-05-26 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Outreach. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Seattle. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Outreach |
| Source | c8442c66-d557-4895-a283-dda4abea526e |
| ATS provider | Lever |
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.
Why You’ll Love It Here
• Flexible time off
• 401k to help you save for the future
• Generous medical, dental, and vision coverage for full-time employees and their dependents
• A parental leave program that includes options for a paid night nurse, and a gradual return to work
• Infertility/ assisted reproductive services benefit
• Employee referral bonuses to encourage the addition of great new people to the team
• Snacks and beverages in the Office, along with fun events to celebrate
• Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military
Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.
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, low-latency agentic workflows.
Collaborating with stakeholders to ensure customers have the AI-driven capabilities and tools they need to succeed on the Outreach platform.
Rapidly prototyping ML and LLM solutions to validate approaches and accelerate iteration on complex, ambiguous problems.
Optimizing across the stack to maximize ROI for key pain points, from model architecture to service orchestration.
Contributing to Outreach's most visible AI surfaces, shaping how customers experience our next-generation agentic AI capabilities.
Our Vision Of You:
2 years of hands-on experience implementing machine learning and NLP systems, including LLM-based architectures, text classification, entity recognition, dialog, and agentic AI workflows
Master’s Degree, or PhD, in relevant field such as computer science, machine learning, or related disciplines
Strong foundation in statistics and experiment design, and passion for data are essential for success in this role
Proficiency in Python, Java or Go or C++, along with strong software engineering skills
Experience developing and deploying cloud-based AI applications
Familiar with continuous-deployment projects
A collaborative mindset and willingness to support and elevate teammates
Ability to prioritize effectively and deliver incrementally in fast-moving environments.
Ability to quickly learn new technologies, frameworks, and LLM-related tooling.
Preferred Qualifications:
Experience with speech-to-text systems or real-time audio/voice processing.
Familiarity with agentic AI frameworks or tool-use patterns in LLM systems.
Experience building low-latency, high-availability ML serving infrastructure.
Track record of taking ML models from prototype to production at scale.
Full job record
| Job ID | 83f1ec00e671198bd019476fe410c58e6cce7a88 |
| Org ID | 37924a4d-775d-4068-b9bd-51f60aa3430b |
| Source ID | c8442c66-d557-4895-a283-dda4abea526e |
| Board ID | c8442c66-d557-4895-a283-dda4abea526e |
| Provider | lever |
| Provider Job Key | 03198a0a-e455-43fd-9666-30ec5fedcb6b |
| Title | Senior Applied Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Seattle, WA |
| Department | Engineering |
| Team | Voice |
| Employment Type | Full-Time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | WA |
| City | Seattle |
| Salary Raw | USD 140000-175000 per-year-salary |
| Salary Min | 140,000 |
| Salary Max | 175,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/outreach/03198a0a-e455-43fd-9666-30ec5fedcb6b |
| Apply URL | https://jobs.lever.co/outreach/03198a0a-e455-43fd-9666-30ec5fedcb6b/apply |
| First Seen At | 2026-05-29 07:07:24Z |
| Last Seen At | 2026-06-06 07:57:22Z |
| Last Checked At | 2026-06-06 07:57:22Z |
| Last Changed At | 2026-05-29 07:07:24Z |
| Inactive At | — |
| Source Posted At | 2026-05-26 15:10:54Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=outreach/date=2026-06-06/2026-06-06T07-57-21-904Z-2134161c87326e5fb58559c8d013bf899141b9dba7a0f393b04da8a804cf2c08.json |
Event Fields
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{
"text": "Your Daily Adventures Will Include:",
"content": "<div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Building AI-powered systems that process voice streams and real-time transcriptions to extract structured intelligence, contextual signals, and actionable insights.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"2\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Engineering high-availability AI pipelines across distributed, cross-team components to ensure reliable, low-latency agentic workflows.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"3\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Collaborating with stakeholders to ensure customers have the AI-driven capabilities and tools they need to succeed on the Outreach platform.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"4\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Rapidly prototyping ML and LLM solutions to validate approaches and accelerate iteration on complex, ambiguous problems.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"5\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Optimizing across the stack to maximize ROI for key pain points, from model architecture to service orchestration.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"6\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Contributing to Outreach's most visible AI surfaces, shaping how customers experience our next-generation agentic AI capabilities.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n</div>"
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{
"text": "Our Vision Of You:",
"content": "<div>\n<div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">2 years of hands-on experience implementing machine learning and NLP systems, including LLM-based architectures, text classification, entity recognition, dialog, and agentic AI workflows </span><span data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":160,"335559740":279,"335559991":360}\"> </span></p>\n</li>\n\n</ul></div>\n</div>\n<div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"2\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Master’s Degree, or PhD, in relevant field such as computer science, machine learning, or related disciplines</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":160,"335559740":279,"335559991":360}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"3\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Strong foundation in statistics and experiment design, and passion for data are essential for success in this role </span><span data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":160,"335559740":279,"335559991":360}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"4\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Proficiency in Python, Java or Go or C++, along with strong software engineering skills </span><span data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":160,"335559740":279,"335559991":360}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"5\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Experience developing and deploying cloud-based AI applications</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":160,"335559740":279,"335559991":360}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"6\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Familiar with continuous-deployment projects </span><span data-ccp-props=\"{}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"7\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">A collaborative mindset and willingness to support and elevate teammates </span><span data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":160,"335559740":279,"335559991":360}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"8\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Ability to prioritize effectively and deliver incrementally in fast-moving environments.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"9\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Ability to quickly learn new technologies, frameworks, and LLM-related tooling. </span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n</div>\n</div>"
},
{
"text": "Preferred Qualifications:",
"content": "<div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"7\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Experience with speech-to-text systems or real-time audio/voice processing.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"8\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Familiarity with agentic AI frameworks or tool-use patterns in LLM systems.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"9\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Experience building low-latency, high-availability ML serving infrastructure.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"10\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Track record of taking ML models from prototype to production at scale.</span><span data-ccp-props=\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":0,"335559739":0}\"> </span></p>\n</li>\n\n</ul></div>\n</div>"
}
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