Senior Machine Learning Engineer at EarnIn

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Earned Wage AccessIndustries

Requirements

MS degree or PhD degree in Computer Science or a related technical field
4+ years of experience in ML engineering
Strong programming skills in Python and data engineering skills
Extensive knowledge of machine learning algorithms
Hands-on experience on architectural patterns for large-scale software applications
Industry experience building and productionizing machine learning systems
Strong oral and written communication skills
Experience in NLP or CV is a plus

Responsibilities

Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models, considering use-case, complexity, performance, and robustness
Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines
Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningMulti-modal ModelsMulti-task ModelsStatistical ModelsModel TrainingModel ValidationProduction ML SystemsDevOpsSystem MonitoringLoggingAlarming

Questions & Answers

Common questions about this position

What is the work arrangement for this position?

This position will be hybrid from the Bengaluru office, as part of the expanding site, with opportunities to collaborate and travel to the Palo Alto HQ and Bangkok site.

What are the employee benefits offered?

EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to the Palo Alto HQ and Bangkok site.

What is the salary range for this role?

Salary ranges are determined by role, level, and location, but specific figures are not provided in the job description.

What skills and experience are required for this Senior Machine Learning Engineer role?

Requirements include an MS or PhD in Computer Science or related field, 4+ years of ML engineering experience, strong Python programming and data engineering skills, extensive knowledge of ML algorithms, hands-on experience with large-scale software architectural patterns, and industry experience productionizing ML systems.

What makes a strong candidate for this position?

A strong candidate will have an advanced degree in Computer Science, 4+ years in ML engineering, strong Python and data skills, deep ML algorithm knowledge, experience with scalable architectures, and proven ability to productionize ML systems, along with strong communication skills.

EarnIn

Provides early wage access without fees

About EarnIn

Earnin allows individuals to access their earned wages before payday without any fees or interest. Users can cash out a portion of their earnings and benefit from features like the "Balance Shield," which helps maintain their bank account balance. Unlike traditional financial institutions, Earnin operates on a model where users choose how much to pay for the service, fostering a community-driven approach. The company's goal is to create a fairer financial system that prioritizes accessibility and mutual support.

Palo Alto, CaliforniaHeadquarters

2012Year Founded

$184.9MTotal Funding

SERIES_CCompany Stage

FintechIndustries

201-500Employees

Benefits

Life in balance - Ten company holidays and flexible time off so you can rest and recharge when you need it most. With pay, no catch.

Family matters - When your family grows, we want your focus on them. Our generous parental leave policy and wellness funds make it easy to put yourself and loved ones first.

Learn & grow - A commitment to career development that includes regular training for team members and managers alike, 360 feedback, and an annual stipend for growth opportunities.

Company culture - Employee Resource Groups provide growth opportunities and allow you to create the company you want to work at (more on that below).

Health & wellness - Flexible healthcare options across medical, dental, and vision—and a free Employee Assistance program offering mental health resources and legal advice.

Save & support - Includes Earnin’s 401(K) and FSA plans with tax advantages for retirement, healthcare, and dependent care expenses.

Risks

Legal challenges from deceptive lending allegations could harm Earnin's reputation.

Increased competition in early wage access may impact Earnin's market share.

Reliance on voluntary contributions may not sustain long-term revenue.

Differentiation

Earnin offers fee-free early wage access, unlike traditional payday loans.

Users choose their payment amount, fostering a community-driven financial model.

Balance Shield feature provides automatic deposits to prevent overdrafts.

Upsides

Earnin has facilitated over $15 billion in earnings access since 2013.

Recognition as Best Payments App highlights Earnin's fintech innovation.

Partnerships with gig platforms could expand Earnin's user base.

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