Senior Applied Scientist - Knowledge Graphs & AI
About reputed company reputed company, founded in 2014, is the only complete agentic AI platform for reputed company teams. reputed company infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across reputed company motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, reputed company AI automates workflows and frees sellers to focus on more strategic conversations and actions. reputed company leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading reputed company organizations use reputed company to power their reputed company teams, including reputed company, reputed company, reputed company, and reputed company to name a few. About the job: We are looking for an Associate Applied Scientist to join a dynamic and innovative AI platform team. If you are passionate about applying machine learning to knowledge graphs and reasoning systems at scale, this is an opportunity to build core components of reputed company's per-tenant knowledge graph while developing deep expertise under the guidance of senior scientists. reputed company is building a per-tenant contextual knowledge graph that captures the full complexity of each customer's sales environment: accounts, deals, contacts, rep behaviors, competitive landscape, and the signals buried in calls, emails, and CRM activity. This graph powers contextual reasoning across the platform, driving next-best-action recommendations, deal risk signals, coaching suggestions, and competitive intelligence. In this pivotal role, you will design the underlying representations, extraction pipelines, and reasoning layers that reputed company this possible, working closely with cross-functional engineering and product teams to deliver innovative, scalable, and reliable AI capabilities with direct impact on reputed company reputed company. This role is ideal for someone with strong ML fundamentals who wants to build deep expertise in knowledge graphs and applied NLP in a fast-moving product environment. \n Your Daily Adventures Will Include: Key Responsibilities: Knowledge Graph Design & Construction: Design and implement entity resolution and ontology population reputed company established graph schemas. Write and optimize queries for graph traversal and feature extraction. Own data quality for assigned domains. Information Extraction: Build pipelines that extract structured knowledge from reputed company conversational and document data (sales calls, emails, CRM notes), including coreference resolution, relation extraction, and event detection. Run experiments to compare approaches and improve accuracy metrics. Contextual Reasoning & Recommendation: Implement graph traversal logic and feature queries that feed reputed company scoring signals. Build and maintain features for deal risk, next-best-action, or coaching recommendation surfaces. Representation Learning: Train and evaluate link reputed company and node classification models using established graph embedding methods. Implement evaluation pipelines and track model performance over time. Domain Modeling: Translate sales concepts, such as deal stages, buyer engagement patterns, rep behaviors, and account health, into graph nodes and relationships under the guidance of senior scientists. Contribute to ontology design and documentation. Cross-functional Collaboration: Work with software engineers to reputed company models and pipelines into production. Write clean, tested code. Monitor system health and respond to incidents. Participate in code review and design discussions. Our reputed company of You: Qualifications: PhD in a relevant field such as Computer Science, NLP, Machine Learning, or a reputed company discipline with a focus on knowledge representation and reasoning, information extraction and relationship extraction, graph neural networks, recommendation systems, or conversation AI and reputed company systems. MS + 2 years of relevant experiecne will also be considered. Solid engineering fundamentals. You can write production-quality code, not just prototype notebooks. You can write clean, tested Python code. Experience with graph databases or query languages (e.g., reputed company, SPARQL, Cypher). Demonstrated ability to build and evaluate ML models. You've trained models, reputed company performance using appropriate metrics, and iterated on results. A track record of building things: whether that's research prototypes that went reputed company the reputed company, reputed company-reputed company contributions, or reputed company projects that required reputed company systems thinking. You understand the gap between a research prototype and a reliable production system, such as monitoring, data reputed company, latency, and operational reputed company. Strong Ownership: Take end-to-end responsibility for research and model development initiatives, from problem formulation and data analysis through experimentation, production deployment, and ongoing performance monitoring, driving reputed company with minimal reputed company. Good communication skills. You can explain technical concepts to engineers and product managers. Eager to learn. You are excited to reputed company deep expertise in knowledge graphs and applied NLP under the mentorship of senior scientists. reputed company to Have: Hands-on experience applying knowledge graphs or graph-based learning methods to reputed company-world data in a production setting. Strong fundamentals in at least two of: knowledge graph construction, information extraction, graph neural networks, or recommender systems. Experience working with large-scale reputed company text data (conversational transcripts, email, or similar) Experience with probabilistic graphical models, conversational AI, or sales/reputed company domain data Published research at top-tier venues Why Join Us? Greenfield Architecture: Shape the design of a core AI system from the ground up, with the reputed company to reputed company foundational technical reputed company that define the platform. Depth That reputed company: This role genuinely requires PhD-level thinking; you will tackle problems in entity resolution, temporal reasoning, and graph learning that demand it. Applied Impact: Work with reputed company production feedback loops and millions of sales interactions, not just benchmarks; see your models change how thousands of teams sell. High reputed company, Low Bureaucracy: Join a small, senior team where your contributions are visible, your reputed company ship fast, and you have direct reputed company to leadership. Career Growth: Opportunity to reputed company initiatives and mentor engineers. \nWhy You’ll Love It Here ● Highly competitive salary ● 25 days annual vacation time + sick time and casual leave ● Group medical policy coverage available to employees and up to 5 eligible family members ● OPD benefit covered up to INR 10,000 ● Life insurance and personal accident insurance at 3x annual reputed company ● 26 weeks of maternity leave pay, and 15 days of paternity leave pay ● Opportunity to be part of company reputed company reputed company the RSU program ● Diversity and inclusion programs that promote employee resource groups like OWN+ (reputed company Women's Network), Adelante (Latinx community), OBX (reputed company Black reputed company), reputed company (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military ● Employee referral bonuses to encourage the reputed company of great new people to the team ● Fun company and team outings because we play just as hard as we work reputed company is an equal opportunity employer. reputed company applicants will be considered for employment without attention to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, veteran or disability status. Our reputed company is reputed company on building teams that include people from different backgrounds and experiences who can reputed company assumptions and reputed company with fresh perspectives. We're dedicated to hiring the whole reputed company, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet reputed company of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you. Apply To This Job