Rocket Money Visa Sponsorship Jobs USA
Rocket Money is a personal finance platform in the Banking & Financial Services sector with a consistent track record of sponsoring both H-1B visa and Green Card applicants. For international professionals in fintech, product, and engineering, it represents a genuinely active sponsorship option worth targeting.
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Get Access To All JobsABOUT ROCKET MONEY 🔮
Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM 🤝
Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team.
ABOUT THE ROLE 🤹
As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will:
- Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues.
- Design, implement, and maintain robust evaluation frameworks. You ensure that ML/AI systems can be constantly improved and create frameworks so that others can do the same.
- Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on its unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product.
- Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts.
- Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you.
Potential Projects:
- Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI/ML product features.
- Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification.
- Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement.
- Architect user facing predictive features that depend on fast moving and large scale user transaction data.
ABOUT YOU 🦄
- 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed.
- Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation.
- Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications.
- Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus.
- You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You’ve owned the development, launch, and maintenance for several scaled ML/AI powered product experiences.
- You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments.
- You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact.
- You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches.
WE OFFER 💫
- Health, Dental & Vision Plans
- Competitive Pay
- 401k Matching
- Unlimited PTO
- Lunch daily (in-office only)
- Snacks & Coffee (in-office only)
- Commuter benefits (in-office only)
Additional information: Salary range of $210,000 - $260,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
ABOUT ROCKET MONEY 🔮
Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM 🤝
Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team.
ABOUT THE ROLE 🤹
As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will:
- Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues.
- Design, implement, and maintain robust evaluation frameworks. You ensure that ML/AI systems can be constantly improved and create frameworks so that others can do the same.
- Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on its unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product.
- Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts.
- Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you.
Potential Projects:
- Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI/ML product features.
- Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification.
- Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement.
- Architect user facing predictive features that depend on fast moving and large scale user transaction data.
ABOUT YOU 🦄
- 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed.
- Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation.
- Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications.
- Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus.
- You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You’ve owned the development, launch, and maintenance for several scaled ML/AI powered product experiences.
- You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments.
- You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact.
- You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches.
WE OFFER 💫
- Health, Dental & Vision Plans
- Competitive Pay
- 401k Matching
- Unlimited PTO
- Lunch daily (in-office only)
- Snacks & Coffee (in-office only)
- Commuter benefits (in-office only)
Additional information: Salary range of $210,000 - $260,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Get Access To All JobsTips for Finding Rocket Money Visa Sponsorship Jobs USA
Target fintech-aligned roles first
Rocket Money operates at the intersection of financial services and consumer technology. Roles in software engineering, data, and product are where sponsorship tends to concentrate, align your application to these functions to maximize your chances.
Understand the dual-track pathway
Rocket Money sponsors both H-1B and Green Card visas, which signals a willingness to support long-term immigration journeys. When applying, be ready to discuss both near-term work authorization and your interest in permanent residency pathways.
Emphasize financial data or consumer product experience
Rocket Money's core product revolves around personal finance and subscription management. Candidates with experience in financial data systems, consumer apps, or subscription platforms have a natural fit that strengthens the specialty occupation case for H-1B sponsorship.
Apply early in hiring cycles
For H-1B sponsorship tied to the April lottery, employers need lead time to file. Target Rocket Money roles in the fall or early winter so there's sufficient runway for the employer to prepare and submit your petition before the cap registration window opens.
Filter for verified sponsors when job searching
Not every fintech company that looks like Rocket Money actually sponsors visas. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and avoid wasting applications on companies that won't support your visa.
Frame your Green Card conversation early
Given Rocket Money's active Green Card sponsorship history in Banking & Financial Services, it's worth raising long-term immigration support during the offer stage. Companies with strong Green Card track records often have established immigration counsel and defined internal processes.
Rocket Money jobs are hiring across the US. Find yours.
Find Rocket Money JobsFrequently Asked Questions
Does Rocket Money sponsor H-1B visas?
Yes, Rocket Money sponsors H-1B visas. The company has a consistent track record of H-1B filings, particularly for technical and product roles that qualify as specialty occupations. If you're pursuing an H-1B, Rocket Money is worth targeting given its active sponsorship history within the Banking & Financial Services sector.
What visa types does Rocket Money sponsor?
Rocket Money sponsors both H-1B nonimmigrant visas and employment-based Green Cards, including EB-2 and EB-3 classifications. This dual sponsorship capability makes it a strong option for international candidates who want both near-term work authorization and a potential path to permanent residency through a single employer.
Which roles at Rocket Money are most likely to receive visa sponsorship?
Sponsorship at Rocket Money tends to align with roles that have a clear specialty occupation basis, software engineering, data science, product management, and financial analysis are the most common. These functions map directly to the company's fintech product and require the degree-specific expertise that supports H-1B and Green Card petitions.
How do I find open visa-sponsored jobs at Rocket Money?
Migrate Mate is the most reliable way to find current openings at Rocket Money that are open to visa sponsorship. It aggregates roles from verified sponsors and lets you filter by company, visa type, and industry, so you can focus your search on employers with a real track record rather than guessing from generic job postings.
How do I approach the application process at Rocket Money as a visa-sponsored candidate?
Apply to roles that closely match your degree and professional background, since specialty occupation alignment is central to both H-1B approval and Green Card petitions. Be upfront about your sponsorship needs early in the process. Rocket Money's experience in Banking & Financial Services means it likely has established immigration counsel, so the process tends to be more structured than at early-stage companies.
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