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