Staff Machine Learning Engineer

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 not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps.

This position will be ideally hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent benefits for our employees 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
• Find innovative and cost-effective solutions to key problems, deliver high-quality code
• Work with product managers/machine learning engineers/performance, and quality engineers to take the product to market
• Train and validate both deep learning-based and statistical-based 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 engineering standards on the team through mentoring and knowledge-sharing
• Drive engineering best practices around code reviews, automated testing, and monitoring

WHAT WE'RE LOOKING FOR

• • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of industry machine learning experience and excellent software engineering skills.
  • Familiarity with digital marketing concepts and metrics. Prior experience with Marketing Mix Modeling (MMM), predicted Lifetime Value (LTV), incremental Lift estimation, geo lift tests, and causal inference is a big plus.
  • Expertise in the breadth of machine learning and statistical techniques such as tree-based models, deep learning techniques, and A/B testing.
  • Strong programming skills in Python, and familiarity with ML frameworks such as TensorFlow, PyTorch, XGBoost and Scikit-Learn.
  • Hands-on experience with SQL and data manipulation tools.
  • Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI
  • Strong analytical skills to evaluate business impact and performance metrics of ML implementations and drive continuous improvement
  • Strong communication and collaboration skills.
  • Passion for learning and staying updated with the latest machine learning industry trends.

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. 

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.