Striveworks
Striveworks
Striveworks उन संगठनों के लिए मशीन लर्निंग ऑपरेशंस सॉफ़्टवेयर विकसित करती है, जिन्हें अधिक तेज़ी, निगरानी और जवाबदेही के साथ AI को व्यवहार में लागू करने की आवश्यकता होती है। इसका Chariot प्लेटफ़ॉर्म मॉडल के पूरे जीवनचक्र को समर्थन देता है—मॉडल बनाने और तैनात करने से लेकर प्रदर्शन की निगरानी तथा ऑडिट ट्रेल बनाए रखने तक। कंपनी की क्षमताओं में कंप्यूटर विज़न, प्राकृतिक भाषा प्रसंस्करण और जनरेटिव AI शामिल हैं, जिनमें गवर्नेंस और डेटा-आधारित टूल को विशेषज्ञ टीमों से आगे भी उपयोगी बनाने पर ज़ोर दिया जाता है। Striveworks स्वास्थ्य सेवा, लॉजिस्टिक्स, परामर्श, भौतिक सुरक्षा, राष्ट्रीय सुरक्षा, साइबर सुरक्षा और वित्त जैसे क्षेत्रों में काम करती है तथा विभिन्न परिचालन परिवेशों के अनुकूल परिनियोजन के तरीके उपलब्ध कराती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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