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Senior Machine Learning Engineer–Field Engagement

StriveworksStriveworks

Summary by AIEngineer.careers

Senior Machine Learning Engineer–Field Engagement is a Machine Learning Engineer role (full-time). with Striveworks. in WASHINGTON, US. Compensation shown: $160K–$200K. Imported listing (source: feeny.ai). Apply on the employer's site (feeny.ai).

Imported listing (source: feeny.ai) · Apply on feeny.ai

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WASHINGTON · US
$160K–$200K
Full-time
SENIOR
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from feeny.ai

Striveworks is hiring a Senior Machine Learning Engineer for Field Engagement to drive customer adoption of Chariot, its AIOps and agentic AI product suite. You will own the technical journey from onboarding through early deployment, building integrations, pipelines, and production AI systems alongside customer engineering teams. The role blends hands-on ML engineering with customer-facing technical advisory and requires US citizenship with eligibility for a Secret clearance.

Responsibilities

  • Become an expert in the Chariot product suite and run trials end to end
  • Run hands-on onboarding, demos, and workshops tailored to customer use cases
  • Co-build production AI systems and agents with customer engineering and ML teams
  • Develop ETL pipelines, scripts, and custom integrations to ingest customer data
  • Serve as primary technical point of contact and resolve blockers through resolution
  • Advise customers on architecture, best practices, and product capabilities
  • Partner with Product and Engineering on fast-turnaround platform improvements
  • Build reusable assets such as example code, guides, and proof-of-concept templates

Requirements

  • Degree in a technical field such as computer science or engineering
  • 6+ years as an ML engineer, data scientist, forward-deployed engineer, or similar hands-on role
  • Strong technical fluency across AI/ML systems and software engineering
  • Production-quality Python skills for integrations, prototypes, and tooling
  • Experience deploying AI models and agents at scale
  • Experience with AI model and agent evaluation, observability, or guardrails
  • Strong customer communication skills with technical stakeholders
  • US citizenship and eligibility/willingness to obtain a Secret or above clearance

Nice to Have

  • Experience deploying large language models using vLLM
  • Familiarity with cloud infrastructure, Kubernetes, APIs, or distributed systems
  • Experience leading, managing, or mentoring small cross-functional teams
  • Active Secret or above US security clearance

Benefits

medical insurancedental insurancevision insurancelife insurancedisability insurancehsafsa401kUnlimited PTOParental leaveEquity / stock options

Tech Stack

AI AgentsAPIsDistributed SystemsETLKubernetesLLMsPythonvLLM
Striveworks

Striveworks

Austin · US · 84+ employees

Striveworks is an Austin-based artificial-intelligence and software company founded in 2018. It develops trustworthy, production-grade AI and machine-learning systems for government and enterprise customers, including deployments in disconnected, high-stakes, and edge environments.

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