Senior Applied Scientist

Oneapp

Hybrid

Who this role is best for

Aimed at senior ML practitioners who thrive in fast-paced fintech environments and can deploy production-grade AI solutions.

Best fit for

ML engineers with proven track records in deploying AI agents and recommendation systems.
— “Design and deploy machine learning, deep learning, and LLM models”
Collaborative technologists comfortable bridging product, engineering, and analytics teams.
— “collaborating closely with product, engineering, and analytics teams”
Builders who prioritize execution velocity over theoretical perfection.
— “everyone here is a builder and executor”

Things to consider

Hybrid schedule requires three in-office days weekly in Bangalore.
— “Hybrid work model (Bengaluru office three days a week)”
Expect high tempo with emphasis on rapid product iteration.
— “This place moves fast, and we’re looking for people”

How to stand out

Quantify business impact metrics from prior ML deployments.
— “models that deliver measurable business impact”
Showcase multi-disciplinary collaboration in AI product launches.
— “bring AI solutions from ideation to deployment”
Highlight production experience with LLMs or intelligent agents.
— “Build intelligent AI agents that can reason”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

deployed-machine-learning-models
improved-customer-experience
increased-business-growth
enhanced-operational-efficiency

Typical background

computer-sciencedata-scienceapplied-mathematics

Skills & requirements

Required

Machine-learningDeep-learningLlm-modelsAi-agentsRecommendation-systemsSearch-technologiesCollaboration-skills

Preferred

Natural-language-processingComputer-vision

Stack & domain

Machine LearningDeep LearningLlm ModelsAi AgentsRecommendation SystemsSearch And Retrieval SystemsCollaborationDriveProactivityFinance

About the role

Original posting from Oneapp via Ashby

ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
Ready to run
Hungry and driven by urgency
Exceptional at what they do, with low ego
Comfortable operating in motion
The Role
As an Applied Scientist at OnePay, you’ll be at the forefront of our AI and Machine Learning innovation! You will:
Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency while collaborating closely with product, engineering, and analytics teams.
Build intelligent AI agents that can reason, plan, and interact across workflows to enhance automation and decision-making.
Develop personalization and recommendation systems that deliver dynamic, user-centric experiences across our product offerings.
Design and optimize search and retrieval systems to improve discoverability, relevance, and user satisfaction.
You Bring
Hands-on expertise with 5+ years of experience building and productionizing ML/AI models that deliver measurable business impact.
Experience developing AI agents, recommendation systems, or search technologies in a production environment.
A strong technical background with a degree in Computer Science, Data Science, Applied Mathematics, or a related field.
Fluency in collaborating with Product, Engineering, and Analytics teams to bring AI solutions from ideation to deployment.
Drive and proactivity – everyone here is a builder and executor.
WHAT WE OFFER
Competitive salary, stock options, and benefits from Day 1
Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs
Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays)
Monthly transport and work-from-home allowances
A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Initial Interview with Talent Partner
Technical or Hiring Manager Interview
Team Interview
Executive Interview
Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Source: Oneapp careers (Ashby)