Machine Learning Engineer

Casap; New York (NY); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Start-up equity

Health, vision & dental coverage

One Medical membership

Stocked kitchens + weekly lunches

Commuter benefit

Team building events & happy hours

Flexible PTO

Apple equipment + home office budget

Job summary

Casap is building the world’s first AI-native disputes automation and fraud prevention platform. We offer a hybrid work model with an S-curve growth environment and competitive compensation centred in the US market.

The role focuses on developing and deploying ML models to evaluate disputes, automate decisions, and collaborate with partners to leverage data for a superior user experience. This position is based in New York or San Francisco with in-office days.

Qualifications

• 3+ years of experience designing and deploying ML models in a high-scale production environment.
• Strong knowledge of machine learning algorithms and data analysis techniques.
• Enthusiastic about building ML infrastructure from scratch in a nascent environment.
• Ability to think like a product engineer, balancing technical innovation with user needs.
• Proficiency in programming languages like Python or R, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Excellent problem-solving skills and the ability to work independently and in a collaborative team environment.

Responsibilities

• Develop and implement machine learning models to evaluate disputes and chargebacks and likelihood of fraud.
• Create and manage an orchestration layer for multiple models, enabling automated and supervised decision-making processes.
• Collaborate with stakeholders to leverage valuable data from partners and customers, ensuring a continuously learning experience and first-class user experience.

Skills

ML modeling

Data analysis

Python

R

TensorFlow

PyTorch

scikit-learn

Problem solving

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Help us solve fraud asap with Casap — where we’re building the world's first AI-native disputes automation and fraud prevention platform. Our mission is to create a future where trust is a given and fraud is rare by empowering financial institutions to automate disputes, eliminate first-party fraud, and turn manual back-office workflows into loyalty-building moments for customers and members.

We’re a Series A startup founded by product leaders from Robinhood and Chime, and we’ve raised over $30M from Emergence, Lightspeed, Primary Ventures, SoFi, and others. We have incredible product market fit, an exceptionally ambitious and kind culture, and our CEO, Shanthi, was recently named to Inc. Magazine’s 2026 Female Founders 500. Over the past 12 months we’ve more than 10x’ed revenue and we’re just getting started.

Location

This is a hybrid role based out of our San Francisco, CA or New York, NY office. Our team works in-office time on Mondays, Wednesdays, and Fridays.

What You'll Do

• Develop and implement machine learning models to evaluate disputes and chargebacks and likelihood of fraud
• Create and manage an orchestration layer for multiple models, enabling automated and supervised decision-making processes
• Collaborate with stakeholders to leverage valuable data from partners and customers, ensuring a continuously learning experience and first-class user experience

What You’ve Done

• 3+ years of experience designing and deploying ML models in a high-scale production environment
• Strong knowledge of machine learning algorithms and data analysis techniques
• Enthusiastic about building ML infrastructure from scratch in a nascent environment
• Ability to think like a product engineer, balancing technical innovation with practical application and user needs.
• Strong proficiency in programming languages like Python, R, or similar, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
• Excellent problem-solving skills and the ability to work independently and in a collaborative team environment

Compensation

The base pay range for this role is $170,000 – $230,000 per year.

Casap's compensation package includes a competitive base salary benchmarked against real-time market data, as well as equity for all full-time roles. We also offer exceptional benefits, as well as bonuses and commission plans for applicable roles. The listed US-based compensation range is a guideline and may be modified. Final compensation will vary based on market conditions, geographic location, and candidate qualifications, including relevant knowledge, skills, and experience assessed during the interview process.

• Start-up equity
• Full health, vision & dental coverage
• One Medical membership
• Stocked kitchens + weekly lunches
• Commuter benefit
• Team building events & happy hours
• Flexible PTO
• Apple equipment + annual home office budget

Casap is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity/expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. Casap is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.