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

• MS degree or Ph.D. degree in Computer Science or a related technical field
• 7+ years of experience in ML engineering
• Strong programming skills in Python and 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
• Strong oral and written communication skills
• Experience in NLP or CV is a plus

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.