S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Senior Staff Machine Learning Engineer, (Machine Learning)
XX
Senior Machine Learning ScientistIBS Software Services • Austin, Texas, United States
Postuler Maintenant
XX

Senior Machine Learning Scientist

IBS Software Services
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Postuler Maintenant

À propos

IBS Software is a fast-growing global software company with over 5,000 employees and a 28-year track record of innovation for the world’s leading travel brands. We provide a broad range of industry leading products and services that manage mission critical operations of airlines, airports, cruise lines, hospitality partners, tour operators and oil & gas companies. These products improve safety, revenue and workflow efficiency, while managing growth, and reducing operating costs. Certified as a Great Place to Work®, IBS Software has a culture built on the values of precision, commitment, passion, integrity and respect for the individual. We are currently seeking an experienced, dynamic, organized, self-starter to join as a Senior Machine Learning Scientist for our Consulting and Digital Transformation (CDx) line of business. Key Responsibilities Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of: Planning and goal decomposition Tool selection and execution Memory and state management Multi-agent collaboration and coordination Research and implement state-of-the-art agentic architectures, including: ReAct and tool-calling agents Reflection and self-improvement loops Chain-of-thought and structured reasoning Tool-augmented and hybrid agent frameworks Develop and evolve agent orchestration approaches, defining how agents: Decompose complex tasks Delegate to sub-agents Handle uncertainty, failure, and recovery Integrate LLMs with external tools, APIs, databases, and code execution environments to enable real-world task completion. Define and own scientific evaluation frameworks for agentic systems, measuring: Task success and reliability Generalization and robustness Latency, cost, and efficiency Safety and unintended behaviors Collaborate closely with Product, Engineering, and Research partners to translate business and user needs into well-scoped scientific problems and agentic system designs. Identify and mitigate agent-specific risks, including: Prompt injection and adversarial inputs Hallucination in long-horizon reasoning Unsafe or unintended tool actions Emergent multi-agent failure modes Stay current with the rapidly evolving agentic AI research landscape, synthesizing academic literature and industry innovation to guide technical strategy. Mentor junior ML scientists and engineers, providing guidance on: Agentic design patterns LLM experimentation best practices Scientific rigor and evaluation methodology
Minimum Qualifications 10+ years of related industry or research experience in machine learning or applied AI. Demonstrated experience designing and evaluating agentic or multi-step AI systems, such as: ReAct-style agents Tool-using or planner-based agents Multi-agent systems or pipelines Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX. Hands-on experience with LLM APIs and agent frameworks, including: LangChain LlamaIndex Similar orchestration or agent libraries Experience integrating LLMs with external tools, APIs, and structured data sources for real-world tasks. Solid understanding of prompting and reasoning techniques, including: Chain-of-thought Few-shot and zero-shot prompting Structured output and constrained decoding Experience designing and running evaluation frameworks for ML systems, including offline benchmarks and production monitoring. Preferred Qualifications PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field, or equivalent professional experience. Experience in travel, e-commerce, marketplace, or advertising platforms. Publications in top-tier ML conferences or journals. Patented inventions, pending or issued. Contributions to open-source ML / LLM / agentic AI projects. Experience partnering with ML Engineering teams to transition research prototypes into production systems. Work Authorization Must be authorized to work in United States and hold a valid passport At IBS you can look forward to: Operating with the brightest minds in the hotel software industry Receiving global exposure Benefiting from continuous learning programs Performance-based career growth Competitive compensation that includes fixed compensation, and variable compensation based on achieving set sales goals, company paid employee benefits, vacation, sick and personal leave, company matched 401k IBS is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law. IBS as an equal opportunity employer bases its hiring decisions on the business need and the best qualified candidates available, and does not discriminate in its employment decisions on the basis of any protected category. Candidates who are offered employment may be subject to a criminal record and other background checks as permitted or required by company policy or applicable law.
  • Austin, Texas, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.