Job Description

Engineering
Bengaluru

About Us

Sense is transforming the way companies hire with AI-powered technology designed to bring unprecedented speed, precision, and personalization to every step of the recruiting process. Our mission is to reimagine how organizations engage with talent--creating faster, smarter, and more human experiences for employers, recruiters, and job seekers alike.

Founded in 2015, Sense is a high-growth HR Tech SaaS company serving over 1,000 customers worldwide. With 250+ team members and backing from Google Ventures, SoftBank, Accel, and Avataar Ventures, we've scaled rapidly and continue to lead innovation in talent engagement and automation.

Our diverse and collaborative team is tackling one of the most universal challenges in the workforce--helping people find meaningful work faster. At Sense, you'll have the opportunity to shape innovative AI solutions that are changing how the world hires, impacting millions of careers globally. Join us in building the future of hiring.

About the role

We care deeply about the success of our customers and strive to help them achieve their goals in inspiring and engaging with their workforce. Sense is seeking a Lead Data Scientist to deliver our contractor communication platform to the world's best places to work. Sense is a rapidly scaling company making this the best environment to take on ownership as well as learning how to grow a company.

Sense is building an intelligent recruiting automation platform to help job seekers find the right opportunity. Sense's platform is responsible for interactions with millions of candidates for help gathering their relevant skills, updating their resumes and identifying those jobs for which they are best suited. We're excited to expand the Sense platform with new capabilities to save candidates and recruiters time and streamline the hiring process.

We're looking for a hands-on technical lead to lead a team of talented data scientists with an interest in dialog systems, natural language processing, textual analysis, and recommendation systems.

Responsibilities

Lead and mentor a group of data scientists to tackle impactful problems such as Recommendation, Search Relevance, Knowledge Graph, etc. Your efforts will critically impact the growth of Sense's Talent Management Platform.

Analyze datasets with traditional and modern data science techniques

Design new models and algorithms and develop proof-of-concept implementations

Support executive leadership in developing Data Science & NLP strategy

Keep up-to-date on advances in NLP

Leverage deep technical knowledge and work across data science, product and engineering teams working together to accomplish extremely ambitious goals and build a great product.

Job Requirement

Basic Qualifications

10+ years experience with building machine learning systems in a professional setting, with 3+ years specialisation in natural language processing Superb quantitative background (e.g. machine learning, statistics or computer science). Graduate degree required. Bias towards action and impact - able to structure a project from idea, prototyping, productionization to impact quantification. Industry experience with a proven track record of delivering impactful results preferred. Prior team-lead or manager experience. You'll be leading and will have the opportunity to build, scale and nourish a team of experienced professionals. Advanced quantitative degree (Master and above) Hardworking and attentive self-starter, great communicator, amazing follow-through - you have a great work ethic and love the responsibility of being held accountable for the results. Strong understanding of LLMs and their building blocks Familiarity with orchestration tools (LangChain, LangGraph, LlamaIndex, CrewAI) Strong understanding of Prompt Engineering Experience with Generative AI frameworks & LLMs (GPT-5, Claude, LLaMA, Gemini, etc.) Vector databases (FAISS, Pinecone, Chroma) and indexing strategies API/service development (FastAPI, Flask, Docker, REST) + DBs (SQL, NoSQL, Redis) Cloud AI/ML skills (AWS SageMaker, Bedrock, S3, Lambda / GCP / Azure)

Preferred Qualifications

Prior research or industry experience in the Recommender Systems (RecSys), Personalization, Search Relevance, Information Retrieval (IR), Deep Learning, Reinforcement Learning or Natural Language Processing (NLP) preferred. Advanced quantitative degree (PhD) Previous software engineering background is a plus. Familiarity with cloud platforms (AWS, Google Cloud Platform) MLOps - containerization (Docker), orchestration (K8s), CI/CD pipelines Familiarity with technical tools such as Keras/Tensorflow/PyTorch and Hive/Spark. Understanding of Ethical AI practices, AI governance, reproducible pipelines.

Additional Information - Perks & Benefits

Equity Medical insurance for employees and dependents Quarterly Professional Development allowance Company Wellness Days (On months without holidays, you are still given a 3-day weekend)

Sense is an equal-opportunity employer. We believe that diversity, inclusion, and belonging are integral to our success and do not discriminate based on race, color, religion, age, or any other basis protected by law. All your information will be kept confidential according to EEO guidelines.