EarnIn
Fintech
SeniorMachineLearningEngineer(Algorithms)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer (Algorithms) at EarnIn. Skills: Machine Learning, MLOps, Deep Learning. Design ML models. Build ML models”
Industry & Context.
Analyze business problems
2 days in office
What They're Looking For.
Must Have
MS degree or PhD degree, 5+ years of experience in ML engineering, Python programming skills, Data engineering skills, Extensive knowledge of ML algorithms, Hands-on experience with architectural patterns, Industry experience building ML systems, Oral and written communication skills
Nice to Have
Experience in NLP or CV is a plus
What You'll Do.
Train deep learning models
Validate deep learning models
Train statistical models
Validate statistical models
Understand system applications
Partner with product managers
Partner with tech leads
Analyze business problems
Enable data pipelines
Drive engineering best practices
Implement automated testing
How You'll Work.
Team & Collaboration
Partner with product managers; Partner with tech leads; Work with data teams
Communication Scope
Oral communication; Written communication
Full Job Description
About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems’ health and scalability is critical. To guarantee the success of machine learning systems, work around transforming ML models to high-performance production-level code needs to be done, including implementing sophisticated machine learning algorithms and robustness monitoring, system logging/alarming, and DevOps. This position will be a hybrid from our Bengaluru office as part of our expanding site location with 2 days a week in the office. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Palo Alto HQ. Our salary ranges are determined by role, level, and location. WHAT YOU'LL DO 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 en
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