Founding Applied Scientist
pxG9rDgnvZm2c86JUchT1j· Weekday's Partner Client
About this role
This role is for one of the Weekday's clients
Salary range: Rs 5000000 - Rs 10000000 (ie INR 50 - 100 LPA)
Min Experience: 4 years
Location: Bengaluru
JobType: full-time
As a Founding Applied Scientist, you will operate at the intersection of advanced research and production engineering, building core systems that enable AI teammates to learn from enterprise environments, reason over tribal knowledge, and deliver measurable business impact.
This is a high-autonomy, builder-first role designed for someone who wants to move beyond static benchmarks and tackle the “last mile” challenges of AI reliability, memory, and agency in real-world enterprise systems. You will help define how applied science is practiced in the emerging era of intelligent agents.
What You’ll Build
You will research, design, and ship next-generation system architectures focused on:
Agentic & Tribal Knowledge Systems
- Design and implement multi-agent architectures capable of solving complex, long-horizon tasks
- Develop systems that integrate organizational memory and domain knowledge into intelligent workflows
High-Impact Applied Science Solutions
- Identify, scope, and solve complex business problems using machine learning
- Drive improvements in engagement, retention, pricing, optimization, and other core metrics
- Deliver measurable top-line impact at scale
Customer-Facing Applied AI
- Partner directly with engineering and product teams at strategic customers
- Serve as a trusted advisor on ML architecture and agent-based systems
- Guide adoption of production-ready agentic AI solutions
End-to-End Model Development
- Design, build, and deploy production-grade ML systems
- Extend platform capabilities to support large-scale, user-centric environments
- Own the full lifecycle from experimentation to scalable deployment
Core Qualifications
Experience & Impact
- 4+ years in Applied Science or ML Engineering
- Demonstrated track record of shipping ML systems that drove measurable business outcomes (e.g., retention, engagement, revenue)
- Experience operating at large scale (100M+ users or equivalent system complexity)
Production Engineering
- Engineer-first mindset with strong coding ability in Python and/or C++
- Experience building low-latency inference systems
- Familiarity with distributed computing frameworks such as Ray, Spark, or Flink
- Proven ability to write production-grade, maintainable systems
Full ML Lifecycle Expertise
- Experience with feature stores, real-time data pipelines (Kafka, Beam), and experimentation frameworks
- Deep understanding of online vs. offline evaluation methodologies
- Experience designing A/B testing systems and monitoring feedback loops in production
- Strong grasp of model observability and reliability in live environments
Algorithmic Depth
- Strong foundations in large-scale ML systems (embeddings, retrieval and ranking, GNNs, bandits)
- Experience with modern AI stack components including LLMs, reinforcement learning, and multi-agent orchestration
Technical Strategy
- Experience defining architectural standards and technical roadmaps
- Ability to balance trade-offs between model complexity, latency, reliability, and development velocity
Nice to Have
- PhD or M.S. in Computer Science, Statistics, or related quantitative discipline
- Experience at a frontier AI lab or high-growth AI startup
- Publications in leading ML conferences (NeurIPS, ICML, ICLR, KDD, RecSys)
- Background in recommender systems, personalization, causal inference, or computational advertising
Why Join
- Founding-level equity and meaningful ownership
- Opportunity to solve hard, unsolved problems in agentic reasoning, memory systems, and reinforcement learning
- Collaboration with a dense, high-caliber team of researchers and engineers who have built and scaled systems serving hundreds of millions of users
- Inclusive and equal opportunity workplace committed to diversity
Core Skills
- Applied Science
- ML Engineering
- Agentic Systems
- Python
- C++
- Retention & Engagement Modeling
- Distributed Systems
Frequently Asked Questions
Is the salary disclosed for the Founding Applied Scientist position at pxG9rDgnvZm2c86JUchT1j?
The salary for this Founding Applied Scientist role at pxG9rDgnvZm2c86JUchT1j is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Founding Applied Scientist position at pxG9rDgnvZm2c86JUchT1j located?
This Founding Applied Scientist role at pxG9rDgnvZm2c86JUchT1j is based in Bengaluru, Karnataka, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Founding Applied Scientist role at pxG9rDgnvZm2c86JUchT1j full-time or part-time?
This is listed as a Full time position. It is posted as a Founding Applied Scientist role in the Weekday's Partner Client department at pxG9rDgnvZm2c86JUchT1j.
Which team or department does the Founding Applied Scientist at pxG9rDgnvZm2c86JUchT1j belong to?
This Founding Applied Scientist position is part of the Weekday's Partner Client department at pxG9rDgnvZm2c86JUchT1j. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Founding Applied Scientist position at pxG9rDgnvZm2c86JUchT1j?
Click the "Apply Now" button on this page. You will be redirected to pxG9rDgnvZm2c86JUchT1j's official application portal hosted on workable where you can submit your application directly.
When was the Founding Applied Scientist job at pxG9rDgnvZm2c86JUchT1j posted?
This Founding Applied Scientist position at pxG9rDgnvZm2c86JUchT1j was posted on Mar 3, 2026. Apply as soon as possible — early applications are often reviewed first.
Founding Applied Scientist
pxG9rDgnvZm2c86JUchT1j
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