Applied AI Research Engineer

🔥 14 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Appen

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1996

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Appen is a company that specializes in providing high-quality, scalable datasets for AI models and applications. With over 25 years of experience, Appen supports the complete AI lifecycle by collecting, curating, fine-tuning, and monitoring data. Their platform is known for its flexibility, allowing enterprises to unlock the potential of their enterprise data through human-AI collaboration. Appen's global reach and expertise make them a trusted partner in accelerating the development and implementation of AI technologies across various industries.

📋 Description

• Build reinforcement learning and agent environments for real customer and Frontier lab use cases, including task specifications, scoring, and evaluation • Develop benchmarks and evaluation harnesses to measure model and data quality across accuracy, robustness, safety, latency, and cost • Build LLM pipelines and agentic systems supporting research, evaluation, and customer trials • Run fine-tuning, adapter, and other model experiments to evaluate how data and methods influence model behavior • Deploy local or self-hosted models for evaluation, inference, and automation workflows • Document experiments, configurations, data, results, and known limitations for reproducibility • Partner with the GenAI Research team and cross-functional stakeholders to turn technical work into reusable customer-engagement assets

🎯 Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Machine Learning, or a related technical field • 3+ years of professional engineering or relevant industry experience in AI/ML or software engineering • Strong software engineering skills and experience building reliable, maintainable AI systems • Hands-on experience building agentic systems, reinforcement learning environments, LLM pipelines, or similar AI systems • Experience building evaluation harnesses, benchmarks, or model testing pipelines • Ability to work independently on technical problems and move quickly from an idea or research question to a working solution • Strong understanding of experimentation, reproducibility, and technical documentation

🏖️ Benefits

• Flexible work arrangements • Tools, resources, and development opportunities to build capability • Opportunity to work on complex AI challenges across industries and geographies • Collaborative culture emphasizing innovation, accountability, curiosity, and excellence