EarnIn

About the Company

EarnIn lets you access your money as you earn it — not days or weeks later. We’re reimagining the way money moves to make financial momentum accessible to everyone. That starts with payday every day and builds with tools like credit monitoring, automated savings accounts, and low-balance protection. All with no interest, no credit checks, and no mandatory fees. So our customers have as many options as possible to save and spend on their terms. EarnIn’s pioneering Earned Wage Access app is backed by world-class partners like A16Z, Matrix Partners, and DST. Since our founding in 2013, 3.8 million customers have given it over 380,000 5-star reviews for helping them access over $15 billion in earnings. That means: - 49% can now cover an unexpected expense of $400 since using EarnIn - 73% can budget more effectively with EarnIn - 66% have been able to pay bills on time with EarnIn’s help We’re proud of that impact. Because no one should feel stuck — held back from their ambitions, their life — simply because they can’t access the money they’ve already earned. That’s why EarnIn is here, to help people move forward with the lives they want today and the goals they have for tomorrow. Join us. EarnIn is a financial technology company, not a bank. The Deposit Account, Secured Account, and EarnIn Card are issued by Evolve Bank & Trust, Member FDIC. The EarnIn Card is issued pursuant to a license from Visa USA Inc.

Listed Jobs

Company Name

EarnIn

Job Title

Senior Platform Machine Learning Engineer

Job Description

Job Title: Senior Platform Machine Learning Engineer Role Summary: Design, build, and maintain an end‑to‑end machine learning platform that supports data ingestion, model training, deployment, monitoring, and governance. Collaborate with product, data, and engineering teams to optimize workflows, ensure reproducibility, and drive platform scalability, reliability, and cost efficiency. Lead adoption of emerging ML infrastructure and AI capabilities, setting high standards for operational excellence. Expactations: Deliver a robust, scalable ML platform; reduce training and deployment times; improve model reproducibility; maintain high platform uptime; stay current with industry best practices and emerging technologies; communicate progress and technical details clearly to cross‑functional teams. Key Responsibilities: * Architect and develop the ML/AI platform, including data pipelines, training clusters, model serving, and monitoring. * Work closely with ML practitioners to identify workflow pain points and optimize training and deployment pipelines. * Ensure platform scalability, reliability, cost efficiency, and ease of use. * Evaluate, pilot, and integrate new tools, frameworks, and cloud services (e.g., Sagemaker, Databricks, Vertex AI). * Support LLM operations and foundation model integration, including API orchestration. * Automate end‑to‑end workflows with orchestration tools (Airflow, Prefect, etc.). * Mentor junior engineers and promote best practices in software engineering and ML Ops. * Champion operational excellence and drive process improvements across the ML lifecycle. Required Skills: * Strong Python programming; proficiency with TensorFlow or PyTorch. * Experience with cloud ML platforms – AWS SageMaker, Databricks, GCP Vertex AI. * Familiarity with LLM Ops, foundation model APIs, and AI engineering workflows. * Knowledge of data pipeline and workflow orchestration tools (Airflow, Prefect, Dagster). * Solid software engineering fundamentals: version control, CI/CD, testing, and documentation. * Excellent communication and collaboration abilities. * Continuous learning mindset; stay informed on ML and platform engineering trends. Required Education & Certifications: * Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience. * Minimum 4+ years of industry machine learning and platform engineering experience.

Mountain view, United states

Hybrid

Senior

19-11-2025

Company Name

EarnIn

Job Title

Senior Product Manager

Job Description

**Job Title:** Senior Product Manager **Role Summary:** Lead the product strategy, development, and scaling of the Early Pay product line, ensuring it meets market needs for early wage access while driving financial and customer outcomes. **Expectations:** - Own end‑to‑end product lifecycle from vision to launch and continuous improvement. - Demonstrate measurable impact on adoption, usage, and revenue metrics. - Communicate progress and results to executive leadership and cross‑functional teams. **Key Responsibilities:** - Define and communicate product vision, roadmap, and success metrics. - Lead multidisciplinary teams (engineering, design, analytics) to deliver product increments rapidly. - Prioritize features based on user research, data analysis, and business goals. - Own business area financial performance and key metrics. - Foster a fast‑paced, iterative environment that supports experimentation and learning. - Represent user needs and deliver delightful, innovative experiences. - Engage with stakeholders across the organization to align product initiatives. **Required Skills:** - 4+ years product management in consumer technology or fintech. - Strong technical acumen with familiarity in payroll or financial‑services technology. - Data‑driven decision making and proficiency interpreting analytics. - Proven product design sensibility with delivered, user‑centric products. - Excellent communication and stakeholder management, especially with executives. - Deep empathy for users, ability to translate insights into design and features. - Creative problem‑solving, willing to challenge conventions. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Business, Finance, or related field. - Advanced certifications (e.g., Certified Product Manager, Agile PM, or equivalent) preferred but not mandatory.

Mountain view, United states

Hybrid

Senior

01-01-2026

Company Name

EarnIn

Job Title

Head of Machine Learning

Job Description

**Job Title:** Head of Machine Learning **Role Summary:** Strategic leader responsible for defining and executing the machine‑learning roadmap, scaling ML systems from research to production, and delivering high‑impact, reliable models that drive business outcomes in a fast‑moving fintech environment. **Expectations:** - Build and mentor high‑performing ML teams across multiple functions. - Ensure ML models meet performance, reliability, and maintainability standards. - Align ML initiatives with company objectives and measurable user‑engagement metrics. - Foster a culture of scientific rigor and pragmatic engineering. **Key Responsibilities:** - Define, own, and communicate the ML roadmap in partnership with product, data engineering, and marketing. - Lead design, development, and optimization of ML models and pipelines at scale. - Oversee end‑to‑end model lifecycle: research, development, testing, deployment, monitoring, and iteration. - Quantify and report the impact of features and models on key business metrics. - Coordinate cross‑functional releases, ensuring timely delivery from concept to production. - Establish best practices for ML engineering, data governance, and model governance. - Recruit, develop, and retain top ML talent; manage performance and career growth. **Required Skills:** - Deep expertise in machine‑learning algorithms and their practical application. - Proven experience deploying and operating production ML systems in a startup or high‑growth setting. - Advanced programming proficiency in Python and strong SQL skills. - Strong understanding of ML infrastructure (e.g., CI/CD, containerization, cloud platforms). - Excellent oral and written communication; ability to translate technical concepts for non‑technical stakeholders. - Leadership and team‑building abilities; track record of hiring and scaling technical teams. **Required Education & Certifications:** - MS or Ph.D. in Computer Science, Statistics, or a related technical field, **or** equivalent professional experience. - 10+ years of engineering or scientific experience, with at least 7 years in leadership/management roles.

Mountain view, United states

On site

Senior

12-01-2026