3 Behavioral modeling Jobs in India

ABOUT

The Persona Labs is building a new kind of social platform focused on something most social products do not explicitly optimize for: helping people become real friends.

We want to help people discover interesting people around them, find meaningful common ground, start low-pressure interactions, continue promising conversations, create shared experiences, and ultimately build real-life friendships.

DISCOVER → CURIOSITY → COMPATIBILITY → INTERACTION → UNDERSTAND → IRL EXPERIENCE → FRIENDSHIP

THE AI LAYER - COMPANION INTELLIGENCE

Alongside the platform, we are building a proactive personal AI companion that learns about the user and helps them navigate this journey through personalized recommendations, suggestions, reminders, conversations, and experiences. 

THE OPPORTUNITY

We are looking for a Founding ML Engineer to build the intelligence layer of the platform from the ground up. This is a 0→1 Applied AI / ML role where you will work directly with the founder and Product Engineer to turn ambiguous problems around users, relationships, recommendations and personal intelligence into working systems.

You will be expected to:

Understand the problem → identify the signals → design the intelligence system → prototype → evaluate → deploy → learn → improve.

WHAT YOU WILL BUILD & OWN

USER INTELLIGENCE

User representations, behavioural models, interests, preferences, contextual signals, and evolving understanding of the user. MEMORY Short- and long-term memory, episodic/preference/relationship memory, retrieval, relevance and updating.

RECOMMENDATION & MATCHING

People discovery, compatibility, activity/experience recommendations, and personalized ranking.

INTENT & INTEREST

Infer what the user is trying to do and learn what they care about from behaviour, not only declared interests.

RANKING

Decide what should appear first across potentially thousands of relevant people, activities or experiences.

CONTENT INTELLIGENCE

Classification, toxicity, spam, policy signals, quality, relevance, and semantic understanding.

RELATIONSHIP INTELLIGENCE

Reciprocity, interaction health, shared interests, progression, declining engagement and shared activity.

NEXT-BEST-ACTION

Determine the most useful action now: show a person, suggest a question, recommend an activity, reconnect, or do nothing.

TRUST / SAFETY INTELLIGENCE

Fake-account signals, spam, abuse, behavioural anomalies, risky interactions and moderation assistance.

COMPANION INTELLIGENCE

Use signals and outputs to help the companion decide what to say, suggest, recommend or not do. 

WHAT YOUR DAY-TO-DAY LOOKS LIKE

• Translate ambiguous product problems into ML/AI system designs.

• Build models and intelligence pipelines using behavioural, relational and contextual signals.

• Develop recommendation, matching and personalization systems.

• Design memory and retrieval systems that help the companion understand the user over time.

• Build and evaluate LLM-powered and agentic workflows.

• Decide when to use traditional ML, rules, retrieval, ranking or LLMs.

• Prototype quickly, test assumptions and iterate based on real user behaviour.

• Work closely with the founder and Product Engineer to turn intelligence into product experiences.

• Design APIs and production systems that bring ML/AI capabilities into the application.

• Build evaluation, monitoring and feedback loops so the intelligence improves over time.

WHO SHOULD APPLY

• Experience: 0–4 years’ experience, including exceptional fresh graduates. Strong 1–3 year engineers and experienced 3–4 year product builders are welcome.

• Strong foundations in ML, Python, statistics and software engineering.

• Evidence of Building: Experience with AI/ML projects, recommendation systems, LLM applications or personalization is highly valued.

• Strong evidence of building: Shipped projects, research, hackathons, internships, open source or startup work. 

WHAT WE LOOK FOR

MACHINE LEARNING DEPTH

Can you understand the modelling problem underneath the application?

RECOMMENDATION & PERSONALIZATION

Can you reason about relevance, ranking, cold start and behavioural signals?

AI ENGINEERING

Can you turn LLMs and agents into reliable product capabilities rather than simple API wrappers?

USER INTELLIGENCE

Can you design systems that gradually understand a person from sparse and changing signals?

SYSTEMS THINKING

Can you move from a model to a production system with APIs, data, latency, cost and monitoring?

EVALUATION MINDSET

Can you determine whether the intelligence actually helped the user?

PRODUCT JUDGMENT

Can you decide what the system should do when there is no predefined answer?

SPEED OF EXECUTION

Can you move from idea → prototype → evaluation → production quickly and responsibly?

BUILD WITH US

You will join at a stage where many of the answers do not exist yet. You will not simply implement a model someone else selected; you will help decide how the product learns to understand people.

CAREERS:

Apply with your resume, GitHub, portfolio or shipped work.

https://forms.gle/12YpUSBY2Sqs5xjp8

www.thepersonalabs.com

Full-Time · On-site · Growth & Product

About Kitab

At Kitab, we’re democratising human learning experience. We leverage advanced AI to empower the next generation of knowledge seekers to achieve their goals, discover new possibilities, and make informed decisions in their personal and professional lives.

About the Role

We aren’t building just another learning platform—we’re building a platform about evolving, finding purpose, and creating impactful change in the journeys of our users.

We are looking for a passionate and experienced Learning Experience Designer to lead the design and development of our growth program library. The ideal candidate will combine deep expertise in learning design with a strong grounding in behavioral science, emotional and psychological frameworks, and effective program sequencing—turning complex science into journeys that feel personal, purposeful, and transformative.

What You’ll Do

•       Design end-to-end growth programs (e.g. Focus, Calm, Clarity) including day-by-day curricula, learning arcs, and progression frameworks

•       Apply behavioral science principles (e.g. Habit formation, CBT, spaced repetition, motivational psychology) to build programs that drive lasting, meaningful change

•       Define difficulty progressions and scaffolding strategies so users are always appropriately challenged without being overwhelmed

•       Determine the right delivery modality for each stage of a program such as journaling prompts, reflective exercises, audio, micro-lessons, or practice drills

•       Collaborate closely with product, engineering, and content teams to bring programs to life inside the app

•       Define clear learning outcomes and success metrics for each growth track

•       Iterate on programs using user data, session feedback, and emerging research insights

•       Build and maintain a content taxonomy that supports AI-driven personalisation

•       Stay current with research in learning science, positive psychology, neuroscience, and habit formation

What We’re Looking For

•       2-5 years of experience in learning experience design, instructional design, or curriculum development

•       Strong grounding in behavioral science, psychology, or a related field

•       Experience designing programs for consumer apps or digital wellness/personal development products

•       Ability to translate complex frameworks (e.g. CBT, Fogg Behavior Model, Self-Determination Theory) into accessible, engaging user experiences

•       Strong writing skills—you can produce compelling, clear content for diverse audiences

•       Systems thinker who can design at the macro level (full program arc) and the micro level (a single prompt or exercise)

•       Comfort working in a fast-moving startup environment with ambiguity and evolving priorities

Nice to Have

•       Experience with AI-powered or personalised learning systems

•       Prior experience as a coach, therapist, or group facilitator

•       Familiarity with gamification and motivational design frameworks (Octalysis, SDT)

What We Offer

•       Creative ownership over the learning philosophy of an AI-first platform

•       An opportunity to design programs that meaningfully impact millions of users

•       A collaborative, mission-driven team at the intersection of ancient wisdom and modern science

•       Competitive compensation

•       A culture-first team

Kitab is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.

CTC: 15 LPA to 21 LPA

Exp: 5 to 8 Years

Mandatory

• Strong Behavioral Data Analyst Profiles
• Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
• Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
• Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
• Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
• Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
• Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
• Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
• Mandatory (Note): Don't want data analysis but business/product/user analysts

Ideal Candidate:

• Bachelor’s or Master’s degree in a relevant field (e.g., UX Design, Human-Computer Interaction, Computer Science, Marketing).
• 5+ years of experience in CX/UX roles, preferably in a B2C environment.
• Proficiency in analytics tools (Google Analytics, CleverTap, Medallia, Hotjar, etc).
• Strong understanding of wireframing and prototyping tools (Figma, XMind, etc).
• Excellent communication and collaboration skills.
• Proven experience in managing cross-functional teams and projects.
• Strong background in data analytics and data-driven decision-making.
• Expert understanding of user experience and user-centered design approaches
• Detail-orientation with experience and will to continuously learn, adapt and evolve
• Creating and measuring the success and impact of your CX designs
• Knowledge of testing tools like Maze, UsabiltyHub, UserZoom would be a plus
• Experienced in designing responsive websites as well as mobile apps
• Understanding of iOS and Android design guidelines
• Passion for great customer-focus design, purposeful aesthetic sense and generating simple solutions to complex problems.
• Excellent communication skills to be able to present their work and ideas to the leadership team.

If interested kindly share your updated resume on 82008 31681