Machine Learning Engineer
About the job
- Proven experience in machine learning and/or applied science, including a strong background in statistical inference and machine learning.
- A bachelor's or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required; bachelor's or master's degrees in Business Analytics, Information Systems, or Data Science are not accepted.
- Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling.
- Demonstrated practical experience with deep learning techniques, particularly transformer-based models.
- A strong track record of reading, understanding, and implementing research papers in machine learning or related fields.
- Hands-on experience with Python, including libraries such as PyTorch or TensorFlow, and SQL.
- Ability to work independently and take ownership of projects.
- Proficiency in modern machine learning techniques, including model evaluation and validation, deep learning, time series analysis, logistic regression, Naive Bayes, and tree-based models such as random forest.
- Demonstrated experience or understanding of the financial industry, especially building and scaling FinTech products.
- Perform data research and analysis using Grid's proprietary dataset and other relevant sources.
- Develop and validate models that support business objectives such as growth, fraud mitigation, and risk control.
- Iterate on new and existing models based on team feedback and real-world performance.
- Collaborate with data engineers and product managers to translate work into production-grade, highly scaled data products.
- Present findings and communicate with team members with varying levels of technical depth.
- Help build Grid's applied science and machine learning team and practice.
About the company
Grid offers immediate tax refunds to American taxpayers who have overpaid their taxes. Instead of waiting until the next tax season, clients can receive refunded money right away and use it for things like home upgrades, holidays, or personal expenses. The service works by arranging access to the refunded funds and charging a service fee or a percentage of the refund for this convenience. Grid differentiates itself by focusing on instant access to tax refunds and by helping thousands of people reach their financial goals quickly. The company's goal is to provide fast, easy-to-use tax relief and expand its reach to more taxpayers in need of immediate funds.
Company Size
51-200
Company Stage
Series A
Total Funding
$22.5M
Headquarters
San Francisco, California
Founded
2016
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Simplify's Take
What believers are saying
- Google Play updated 2026-09-26 suggests active product support and ongoing distribution.
- PayBoost remains live, and users still receive first boosts within two to three weeks.
- Income-protection marketing and $200 advances expand monetization beyond tax timing alone.
What critics are saying
- Google Play showed 3.9 stars and 21.4K reviews on 2026-10-01.
- September 2026 reviews cite unauthorized charges, unreachable support, and failed subscription cancellations.
- TurboTax and other refund-advance products compress Grid's tax-refund niche within months.
What makes Grid unique
- Grid bundles PayBoost, cash advances, credit building, and tax tools in one app.
- PayBoost updated 2026-09-28 shifts federal withholding, boosting paychecks within two pay periods.
- Grid+ charges $10 monthly for advances, card access, and credit-line features.
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Benefits
Flexible Work Hours