Striveworks
Striveworks
Striveworks жасанды интеллектіні жылдамырақ, бақылауға болатын және жауапкершілікке негізделген түрде тәжірибеге енгізуді қажет ететін ұйымдарға арналған машиналық оқыту операцияларының бағдарламалық жасақтамасын әзірлейді. Оның Chariot платформасы модельдерді құру мен орналастырудан бастап, өнімділікті бақылауға және аудит іздерін жүргізуге дейінгі модельдің толық өмірлік циклін қолдайды. Компанияның мүмкіндіктері компьютерлік көруді, табиғи тілді өңдеуді және генеративті жасанды интеллектіні қамтиды. Бұл ретте ол басқару тетіктеріне және деректерге негізделген құралдарды тек мамандандырылған командаларға ғана емес, кеңірек пайдаланушылар тобына да қолжетімді етуге басымдық береді. Striveworks денсаулық сақтау, логистика, консалтинг, физикалық қауіпсіздік, ұлттық қауіпсіздік, киберқауіпсіздік және қаржы салаларында жұмыс істеп, әртүрлі операциялық ортаға бейімделген орналастыру тәсілдерін ұсынады.

Senior Machine Learning Engineer - Texas Remote

Build LLM-powered agents, data workflows, and dependable machine learning systems for Striveworks’ AI operations platform. Support mission-critical government deployments through customer-focused engineering and direct collaboration.

Сипаттама

  • Create machine learning solutions for customer engagements and internal products
  • Coordinate complex data pipelines and agentic workflows
  • Contribute to the development of Chariot, Striveworks’ proprietary AI operations platform
  • Build dependable AI systems spanning models, agents, tools, and workflows
  • Evaluate and enhance AI system performance and usability
  • Partner with customers, data scientists, software engineers, and DevOps engineers
  • Guide platform enhancements and broaden the company’s technical capabilities
  • Assist mission-critical deployments through direct customer engagement
  • Travel as much as 20% of the time

Талаптар

  • Bachelor’s degree in computer science, machine learning, or a related field, plus at least six years of relevant experience
  • Proven delivery of data-focused systems involving data engineering, data cleaning, ETL pipelines, machine learning, and production analytics
  • Hands-on experience designing, developing, 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 advanced Python skills and experience with 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 current software development practices and tools such as Agile, version control, issue tracking, CI/CD, and debugging
  • US citizenship and eligibility and willingness to obtain and maintain a Secret US security clearance

Артықшылықтар

  • 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
  • Fully remote work, with hybrid or on-site options available

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