Research Scientist, Applied AI

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

💵 ₹9M - ₹10M / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 20%

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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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Own and advance the agent harness: the core loop, tools, environment, guardrails, and model behaviour that power the agent • Improve agent tool selection, context construction, sub-agent coordination, and handling of long, multi-step tasks through systematic experimentation • Drive model selection across tasks while balancing answer quality, latency, and cost • Design and build evaluations for complex revenue tasks, including benchmarks, regression detection, and automated evaluation pipelines • Build evaluation datasets and grading methods for tasks without clean ground truth • Build scoring and prediction models, including deal health scores, cross-deal pattern mining, and explainable risk signals • Lead fine-tuning work as the platform moves into deeper model training • Research and design reinforcement learning approaches that improve agent behaviour • Improve context engineering and data quality through entity resolution, information extraction, and knowledge and context graphs • Own ambiguous research problems end-to-end: form hypotheses, design experiments, build training, evaluation, and grading infrastructure, and ship results to production • Work closely with the US-based Head of AI and applied AI team in India

🎯 Requirements

• 5+ years of experience in applied AI research or applied science, at a senior level • MS or PhD in Computer Science, Mathematics, Statistics, or another quantitative discipline • Hands-on experience building and improving agentic systems and agent harnesses, including tool use, multi-step reasoning, and context management • Hands-on experience with LLMs or large-scale deep learning systems, including training, fine-tuning, and RLHF • Clear understanding of why models behave the way they do, not only how to use them • Experience designing eval datasets or frameworks, especially for tasks without clean ground truth • Proven ability to scope and drive ambiguous research with minimal guidance • Comfortable working with a US-based leadership team across time zones • Publications at top-tier peer-reviewed conferences or journals are preferred

🏖️ Benefits

• Competitive salary and equity at Series A, ahead of the next funding round • Remote role • Team meeting in person in Bangalore • Meaningful scope from day one: ownership of core agent capabilities • Direct work with the Head of AI and a tight feedback loop with founders and product • Opportunity to shape an AI-first product at a pivotal stage