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Striveworks
Striveworks
51 – 200 Angajați
Asistență medicalăConsultanțăLogistică
Striveworks dezvoltă software pentru operațiunile de învățare automată, destinat organizațiilor care au nevoie să pună inteligența artificială în practică mai rapid, cu un nivel mai ridicat de supraveghere și responsabilitate. Platforma Chariot sprijină întregul ciclu de viață al modelelor, de la construirea și implementarea acestora până la monitorizarea performanței și păstrarea pistelor de audit. Competențele companiei acoperă viziunea computerizată, procesarea limbajului natural și inteligența artificială generativă, cu accent pe guvernanță și pe utilizarea instrumentelor bazate pe date dincolo de echipele de specialiști. Striveworks activează în domeniile sănătății, logisticii, consultanței, securității fizice, securității naționale, securității cibernetice și finanțelor, oferind metode de implementare adaptate diferitelor medii operaționale.
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Locurile de muncă ale companiei

Senior Machine Learning Engineer – Active Secret Clearance (Austin Hybrid)

Build LLM-powered agents and dependable AI workflows for Striveworks’ government-focused operations platform. Contribute to Chariot, customer projects, and mission-critical deployments.

USStatele Unite ale AmericiiTXTexas
185.000 $ – 230.000 $ / an
HibridNormă întreagăSeniorLimbă Obligatorie: englezăInginer de învățare automată
C++ETLGoJavaPythonPyTorchRustScalaScikit-LearnTensorFlow

Descriere

  • Create machine learning solutions for customer engagements and long-term product development
  • Coordinate complex data pipelines and agentic workflows
  • Advance the capabilities of Chariot, Striveworks’ proprietary AI operations platform
  • Develop dependable AI systems across models, agents, tools, and workflows
  • Evaluate and enhance AI system performance and usability
  • Partner closely with customers, data scientists, software engineers, and DevOps engineers
  • Guide platform enhancements and broaden organizational capabilities
  • Adapt solutions for mission-critical field deployments through direct customer engagement
  • Deliver insights that influence future product direction
  • Travel for up to 20% of working time

Cerințe

  • Bachelor’s degree in computer science, machine learning, or a related field, plus at least 6 years of relevant experience
  • Proven record of delivering data-centric systems spanning data engineering, data cleansing, ETL, machine learning, and production analytics
  • Hands-on experience designing, building, evaluating, and optimizing LLM-based agents and agentic workflows
  • Experience connecting AI systems to external tools, APIs, MCP servers, and enterprise data sources
  • Experience creating evaluation methods and frameworks for agent performance, reliability, and safety
  • Working knowledge of RAG, tool use, planning, and multi-agent system architectures
  • Strong command of machine learning languages and libraries, with expert-level Python proficiency
  • Knowledge of TensorFlow, PyTorch, and/or scikit-learn
  • Solid software engineering foundation in algorithms, data structures, and design patterns
  • Proficiency in at least one systems language, including Go, Rust, C++, Java, or Scala
  • Experience with modern engineering practices and tools such as Agile, version control, issue tracking, CI/CD, and debugging
  • Active Secret or higher U.S. security clearance and U.S. citizenship required
  • Bachelor’s degree in computer science, machine learning, or a related field, plus at least 6 years of relevant experience

Beneficii

  • Medical, dental, and vision insurance
  • Optional life, long-term disability, accident, and hospital indemnity coverage
  • HSA and FSA plans, including dependent care FSA
  • 401(k) retirement plan
  • Unlimited paid time off
  • Paid parental leave
  • Equity grants
  • Cash bonuses
  • Option to work fully remotely
  • Hybrid or on-site work at the northwest Austin, Texas office

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