EarnIn
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at EarnIn. Skills: Machine Learning, MLOps, Data engineering. Design, build, and launch efficient and reliable machine. Drive business impact”
What You'll Achieve.
Drive business impact
Industry & Context.
Analyze business problems; Clarify requirements; Define scope
What They're Looking For.
Must Have
MS degree or Ph. D. degree in Computer Science or a related technical field, 3+ years of experience in ML engineering, Python programming skills, Data engineering skills, Extensive knowledge of machine learning algorithms, Hands-on experience with architectural pattern for large, high scale software applications, Industry experience building and productionizing machine learning systems, Oral and written communication skills
Nice to Have
Ph. D. degree in Computer Science or a related technical field, Experience is NLP or CV is a plus
What You'll Do.
and launch efficient and reliable machine
Drive business impact
Train and validate both deep learning-based and statistical-based
Demonstrate end-to-end understanding of applications
Develop a deep understanding of the “why” behind
Partner with product managers
Analyze business problems
Define the scope of the systems needed
Work closely with data platform teams
Enable robust scalable batch and real-time data pipelines
Drive high ML and engineering standards on the
Mentor and knowledge share
Drive engineering best practices around code reviews
Drive engineering best practices around automated testing
Drive engineering best practices around monitoring
How You'll Work.
Team & Collaboration
Product managers; Tech leads; Stakeholders; Data platform 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. 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. Since our founding, our app has been downloaded over 13M times and we have provided access to over $15 billion in earnings. 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-performan
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