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Appen
Appen
501 – 1,000 Employees
H1B Visa SponsorArtificial IntelligenceConsultingMarketing
Appen develops the data foundations that support artificial intelligence products and applications. Founded in 1996, the company provides scalable services across the AI data lifecycle, including data collection, curation, model fine-tuning, and monitoring. Its work combines human expertise with AI to help enterprises use their data more effectively. With experience spanning artificial intelligence, consulting, and marketing, Appen supports organizations developing and deploying AI technologies across industries.
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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.

INIndiaRemoteFull-timeMiddleSeniorEnglish RequiredAI Research ScientistMachine Learning Engineer

Description

  • 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

Requirements

  • 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

Benefits

  • 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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