{"schemaVersion":"jobsearcher.job.v1","id":"bd1b6e419d6e38bf1924575e","url":"https://jobsearcher.com/jobs/bd1b6e419d6e38bf1924575e","canonicalUrl":"https://jobsearcher.com/jobs/bd1b6e419d6e38bf1924575e","title":"Software Engineer","description":"What You'll DoBuild, release, and maintain production-grade software and machine learning systems that power customer-facing features and core platform services for a Financial Services product.Design, develop, test, and deploy product-facing features with strong emphasis on correctness, reliability, and scalabilityDesign, implement, and maintain ML models and AI-powered services supporting product features and decisioning systemsBuild end-to-end ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoringIntegrate models into production systems ensuring low-latency inference and reliable service operationCollaborate closely with product managers, data scientists, and engineers to translate business problems into ML solutionsOwn ML components across their lifecycle: experimentation, implementation, deployment, production monitoring, and iterative improvementOptimize model performance and reliability through validation, A/B testing, and performance tuningApply software engineering best practices to ML codebases: automated tests, code reviews, documentation, and version controlParticipate in incident response, debugging, and remediation for production ML and data systemsEnsure ML and data systems meet security, privacy, and compliance requirements for sensitive Financial Services dataDocument model designs, assumptions, evaluation results, and operational considerations to support maintainability and knowledge sharingWhat You’ll BringMinimum requirements (education/experience and technical skills):Master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field (or foreign equivalent) and at least 1 year of relevant experience in the job offered or a related occupationHands-on experience with one or more programming languages used in production ML systems: Python, Java, Scala, or GoExperience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, etc.)Familiarity with data processing and ETL frameworks (Spark, Flink, Airflow, etc.)Strong knowledge of feature engineering techniques and toolingExperience with supervised and unsupervised learning methods and model evaluation metricsExperience with ML pipeline and deployment tools (MLflow, TF Serving, TorchServe, Kubeflow, Docker, Kubernetes, CI/CD)Familiarity with model monitoring and observability tools (Prometheus, Grafana, Sentry, custom monitoring)Strong software engineering skills: testing, code reviews, modular design, and documentationAbility to reason about system performance, latency, and scalability in production settingsExcellent collaboration and communication skills; experience mentoring or guiding peers is a plusBackground checks requiredPreferred (nice-to-have):Production ML / MLOps experience in FinTech or Financial Services environmentsExperience designing low-latency inference pipelines and distributed model servingFamiliarity with privacy-preserving ML, data governance, and regulated-industry complianceCompensation & BenefitsIn addition to the base pay range listed below, this role is eligible for bonus opportunities, equity, and benefits. Final pay will be determined based on job-related factors (education, training, experience, location, business needs, market).Base pay range: $161,637 - $200,000 per year (aligned to the compensation zone for the location where work will be performed)Performance-driven compensation with multipliers for outsized impact, bonus programs, and equity ownershipComprehensive benefits (example highlights): employer-paid health insurance for employees, dependent coverage, lifestyle / wellness spending accounts, employer-paid life & disability insurance, fertility and mental health benefits, 401(k) matchingPaid time off, company holidays, sick time, and parental leaveExceptional office experience, events, and team-focused amenities(Exact benefits and Total Rewards may vary by region and employing entity. See the hiring entity’s Total Rewards materials for details.)Work Location & ScheduleThis role is based in Menlo Park, CA. In-person attendance is expected at least three days per week.Telecommuting or hybrid arrangements may be permitted in accordance with client policies and local requirements.The role may require occasional in-office collaboration and participation in core team events.Compliance & Hiring NotesThis position is being recruited by CareerTakes on behalf of a confidential client in the Financial Services industry.Background checks are required as part of the hiring process.Offers and employment are contingent on successful completion of required checks and compliance with applicable local, state, and federal law.Equal Opportunity & Hiring TransparencyCareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.If you have questions about how your data is used, please contact us directly.","company":"Edkey","rawCompany":"edkey","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-06T15:21:04.603Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer","description":"What You'll DoBuild, release, and maintain production-grade software and machine learning systems that power customer-facing features and core platform services for a Financial Services product.Design, develop, test, and deploy product-facing features with strong emphasis on correctness, reliability, and scalabilityDesign, implement, and maintain ML models and AI-powered services supporting product features and decisioning systemsBuild end-to-end ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoringIntegrate models into production systems ensuring low-latency inference and reliable service operationCollaborate closely with product managers, data scientists, and engineers to translate business problems into ML solutionsOwn ML components across their lifecycle: experimentation, implementation, deployment, production monitoring, and iterative improvementOptimize model performance and reliability through validation, A/B testing, and performance tuningApply software engineering best practices to ML codebases: automated tests, code reviews, documentation, and version controlParticipate in incident response, debugging, and remediation for production ML and data systemsEnsure ML and data systems meet security, privacy, and compliance requirements for sensitive Financial Services dataDocument model designs, assumptions, evaluation results, and operational considerations to support maintainability and knowledge sharingWhat You’ll BringMinimum requirements (education/experience and technical skills):Master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field (or foreign equivalent) and at least 1 year of relevant experience in the job offered or a related occupationHands-on experience with one or more programming languages used in production ML systems: Python, Java, Scala, or GoExperience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, etc.)Familiarity with data processing and ETL frameworks (Spark, Flink, Airflow, etc.)Strong knowledge of feature engineering techniques and toolingExperience with supervised and unsupervised learning methods and model evaluation metricsExperience with ML pipeline and deployment tools (MLflow, TF Serving, TorchServe, Kubeflow, Docker, Kubernetes, CI/CD)Familiarity with model monitoring and observability tools (Prometheus, Grafana, Sentry, custom monitoring)Strong software engineering skills: testing, code reviews, modular design, and documentationAbility to reason about system performance, latency, and scalability in production settingsExcellent collaboration and communication skills; experience mentoring or guiding peers is a plusBackground checks requiredPreferred (nice-to-have):Production ML / MLOps experience in FinTech or Financial Services environmentsExperience designing low-latency inference pipelines and distributed model servingFamiliarity with privacy-preserving ML, data governance, and regulated-industry complianceCompensation & BenefitsIn addition to the base pay range listed below, this role is eligible for bonus opportunities, equity, and benefits. Final pay will be determined based on job-related factors (education, training, experience, location, business needs, market).Base pay range: $161,637 - $200,000 per year (aligned to the compensation zone for the location where work will be performed)Performance-driven compensation with multipliers for outsized impact, bonus programs, and equity ownershipComprehensive benefits (example highlights): employer-paid health insurance for employees, dependent coverage, lifestyle / wellness spending accounts, employer-paid life & disability insurance, fertility and mental health benefits, 401(k) matchingPaid time off, company holidays, sick time, and parental leaveExceptional office experience, events, and team-focused amenities(Exact benefits and Total Rewards may vary by region and employing entity. See the hiring entity’s Total Rewards materials for details.)Work Location & ScheduleThis role is based in Menlo Park, CA. In-person attendance is expected at least three days per week.Telecommuting or hybrid arrangements may be permitted in accordance with client policies and local requirements.The role may require occasional in-office collaboration and participation in core team events.Compliance & Hiring NotesThis position is being recruited by CareerTakes on behalf of a confidential client in the Financial Services industry.Background checks are required as part of the hiring process.Offers and employment are contingent on successful completion of required checks and compliance with applicable local, state, and federal law.Equal Opportunity & Hiring TransparencyCareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.If you have questions about how your data is used, please contact us directly.","datePosted":"2026-06-06T15:21:04.603Z","dateModified":"2026-06-06T15:21:04.603Z","hiringOrganization":{"@type":"Organization","name":"Edkey","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bd1b6e419d6e38bf1924575e"},"url":"https://jobsearcher.com/jobs/bd1b6e419d6e38bf1924575e"}}