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Appen
Appen
501 – 1.000 Angajați
Sponsor pentru viza H1BConsultanțăInteligență artificialăMarketing
Appen dezvoltă fundația de date care susține produsele și aplicațiile bazate pe inteligență artificială. Înființată în 1996, compania oferă servicii scalabile de-a lungul întregului ciclu de viață al datelor pentru inteligență artificială, inclusiv colectarea și organizarea datelor, ajustarea fină a modelelor și monitorizarea acestora. Activitatea sa combină expertiza umană cu inteligența artificială pentru a ajuta organizațiile să își utilizeze datele mai eficient. Cu experiență în inteligență artificială, consultanță și marketing, Appen sprijină organizațiile care dezvoltă și implementează tehnologii de inteligență artificială în diverse industrii.
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Applied AI Research Engineer — Appen, India (Remote)

Join Appen as an Applied AI Research Engineer developing reinforcement-learning environments, LLM pipelines, and evaluation systems for global AI training-data programs. Create reusable research assets for frontier laboratories and customer projects.

INIndiaRemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăCercetător științific în domeniul IAInginer de învățare automată

Descriere

  • Create reinforcement-learning and agent environments for customer and frontier-lab applications, covering task design, scoring, and evaluation
  • Develop benchmarks and evaluation harnesses that assess model and data quality across accuracy, robustness, safety, latency, and cost
  • Build LLM pipelines and agentic systems for research, evaluation, and customer trials
  • Conduct fine-tuning, adapter, and related model experiments to understand how data and methods affect model behavior
  • Deploy local and self-hosted models for evaluation, inference, and workflow automation
  • Record experiments, configurations, datasets, results, and known limitations to support reproducible work
  • Collaborate with the GenAI Research team and cross-functional partners to convert technical work into reusable customer-engagement assets

Cerințe

  • Bachelor’s, master’s, or doctoral degree in computer science, engineering, machine learning, or a related technical discipline
  • At least three years of professional engineering or relevant industry experience in AI/ML or software engineering
  • Proven software engineering ability, including experience creating dependable and maintainable AI systems
  • Practical experience with agentic systems, reinforcement-learning environments, LLM pipelines, or comparable AI applications
  • Experience creating evaluation harnesses, benchmarks, or model-testing pipelines
  • Ability to independently tackle technical challenges and rapidly turn research questions or ideas into working solutions
  • Strong knowledge of experimentation, reproducibility, and technical documentation

Beneficii

  • Flexible ways of working
  • Access to tools, resources, and development opportunities that support capability building
  • The chance to tackle complex AI problems across multiple industries and regions
  • A collaborative culture centered on innovation, accountability, curiosity, and excellence

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