Quicken Inc.
This range is provided by Quicken. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
$158,000.00/yr - $180,000.00/yr Additional compensation types
Annual Bonus Quicken is the leading solution for personal finance management software and is committed to helping people lead healthy financial lives. For over 40 years, more than 20 million customers have relied on Quicken to help them take control of their finances. We continue to focus on delighting customers and making Quicken products the most used, most loved, and most effective personal finance software that our customers can access and manage their financial lives, anywhere, anytime, and on any device. Job Summary Were looking to expand our Machine Learning capabilities and are hiring a
Senior Software Engineer
who brings expertise in
backend systems
and
applied machine learning . At Quicken, youll be part of a collaborative, customer-driven environment where youll work on AI-powered features that transform the way users interact with their financial data. You will have a real-world impact building and deploying ML services at scale, while continuing to shape the future of personal finance. Responsibilities Deliver scalable, production-ready backend/server code in
Java,
while integrating and deploying
machine learning models and services
within the Quicken Cloud Services architecture Collaborate with data scientists and product teams to
translate ML prototypes into reliable, maintainable, and scalable APIs and service. Architect and implement
real-time and batch inference pipelines
on cloud infrastructure (AWS), ensuring high performance and reliability Leverage
data engineering and data platform best practices
to support feature extraction, data versioning, and model lifecycle management Own the end-to-end lifecycle of ML services:
model deployment, monitoring, retraining, and A/B testing in production Mentor other engineers and contribute to engineering excellence through
code reviews, design discussions, and process improvements Stay current with advances in ML infrastructure, MLOps tooling, and cloud-native technologies Qualifications Software Engineering 5+ years of backend software development experience, with deep expertise in Java, Spring, and microservice architecture Strong grasp of REST API design, database modeling, and distributed systems Demonstrated experience deploying applications on AWS and working within Agile/Scrum environments Fluency in SQL and NoSQL databases. MySQL experience preferred Machine Learning Engineering 3+ years of experience building and deploying machine learning models into production Proficient in Python and common ML/AI frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, or similar Hands-on experience with MLOps tools and practices, such as MLflow, SageMaker, Kubeflow, or similar model lifecycle platforms Deep understanding of feature engineering, model monitoring, performance metrics, and retraining strategies Familiarity with data pipelines, streaming systems (e.g. Kafka), and data processing tools (e.g. Spark or Pandas) Exposure to LLMs or generative AI use cases in real-world products Bonus Skills Experience with vector databases, embeddings, or retrieval-augmented generation (RAG) pipelines is a plus Background in financial services or fintech is a strong advantage Education BS/MS in Computer Science, Engineering, or a related field. Advanced coursework in ML/AI is a plus What we offer Competitive salary and performance bonus 401(k) with 5% employer match Exceptional health insurance benefits with minimal out of pocket expenses Fantastic culture, strong believers in Autonomy/Mastery/Purpose Customer-driven, we make money by building the best products for our users. No confusion about how to win create amazing products! Ability to work with and lead incredible talent Build products that make a huge difference in peoples lives Work on a highly recognizable brand that defines the personal finance category Quicken is committed to fair and equitable compensation practices. The actual salary offered is determined by factors unique to each candidate, including but not limited to years and depth of experience, relevant skills, and work location. This position's expected base pay range is $158,000-$180,000. Quicken is building a team of innovative and talented individuals passionate about helping people improve their financial lives. We care about our employees' well-being and pride ourselves on offering a fabulous range of benefits and perks. From comprehensive healthcare coverage, a 401(k) plan with a generous 5% match, fitness subsidies, education reimbursement, and onsite lunches, to name a few - we've got you covered! At Quicken, we believe happy employees are successful employees, so we're committed to creating a fun and supportive work environment that encourages personal and professional growth, recognizing that a thriving workforce is essential to our collective success! (Benefits and perks may vary based on location.) Quicken is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Industries
Financial Services and Software Development Referrals increase your chances of interviewing at Quicken by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Tuition assistance Disability insurance Get notified when a new job is posted. Sign in to set job alerts for Software Engineer roles.
Mountain View, CA $145,000.00-$170,000.00 5 hours ago Software Engineer, AI Platform - New Grad
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San Francisco Bay Area $160,000.00-$180,000.00 2 weeks ago Sunnyvale, CA $112,000.00-$185,000.00 1 day ago Palo Alto, CA $140,000.00-$185,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 4 days ago Mountain View, CA $158,000.00-$198,000.00 1 week ago eCommerce Full Stack Developer (React / Shopify) - On Site
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Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago San Mateo, CA $150,000.00-$300,000.00 5 days ago Mountain View, CA $137,500.00-$186,500.00 3 days ago San Jose, CA $113,400.00-$206,300.00 4 days ago Software Development Engineer - Front End
San Jose, CA $133,900.00-$242,000.00 2 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
$158,000.00/yr - $180,000.00/yr Additional compensation types
Annual Bonus Quicken is the leading solution for personal finance management software and is committed to helping people lead healthy financial lives. For over 40 years, more than 20 million customers have relied on Quicken to help them take control of their finances. We continue to focus on delighting customers and making Quicken products the most used, most loved, and most effective personal finance software that our customers can access and manage their financial lives, anywhere, anytime, and on any device. Job Summary Were looking to expand our Machine Learning capabilities and are hiring a
Senior Software Engineer
who brings expertise in
backend systems
and
applied machine learning . At Quicken, youll be part of a collaborative, customer-driven environment where youll work on AI-powered features that transform the way users interact with their financial data. You will have a real-world impact building and deploying ML services at scale, while continuing to shape the future of personal finance. Responsibilities Deliver scalable, production-ready backend/server code in
Java,
while integrating and deploying
machine learning models and services
within the Quicken Cloud Services architecture Collaborate with data scientists and product teams to
translate ML prototypes into reliable, maintainable, and scalable APIs and service. Architect and implement
real-time and batch inference pipelines
on cloud infrastructure (AWS), ensuring high performance and reliability Leverage
data engineering and data platform best practices
to support feature extraction, data versioning, and model lifecycle management Own the end-to-end lifecycle of ML services:
model deployment, monitoring, retraining, and A/B testing in production Mentor other engineers and contribute to engineering excellence through
code reviews, design discussions, and process improvements Stay current with advances in ML infrastructure, MLOps tooling, and cloud-native technologies Qualifications Software Engineering 5+ years of backend software development experience, with deep expertise in Java, Spring, and microservice architecture Strong grasp of REST API design, database modeling, and distributed systems Demonstrated experience deploying applications on AWS and working within Agile/Scrum environments Fluency in SQL and NoSQL databases. MySQL experience preferred Machine Learning Engineering 3+ years of experience building and deploying machine learning models into production Proficient in Python and common ML/AI frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, or similar Hands-on experience with MLOps tools and practices, such as MLflow, SageMaker, Kubeflow, or similar model lifecycle platforms Deep understanding of feature engineering, model monitoring, performance metrics, and retraining strategies Familiarity with data pipelines, streaming systems (e.g. Kafka), and data processing tools (e.g. Spark or Pandas) Exposure to LLMs or generative AI use cases in real-world products Bonus Skills Experience with vector databases, embeddings, or retrieval-augmented generation (RAG) pipelines is a plus Background in financial services or fintech is a strong advantage Education BS/MS in Computer Science, Engineering, or a related field. Advanced coursework in ML/AI is a plus What we offer Competitive salary and performance bonus 401(k) with 5% employer match Exceptional health insurance benefits with minimal out of pocket expenses Fantastic culture, strong believers in Autonomy/Mastery/Purpose Customer-driven, we make money by building the best products for our users. No confusion about how to win create amazing products! Ability to work with and lead incredible talent Build products that make a huge difference in peoples lives Work on a highly recognizable brand that defines the personal finance category Quicken is committed to fair and equitable compensation practices. The actual salary offered is determined by factors unique to each candidate, including but not limited to years and depth of experience, relevant skills, and work location. This position's expected base pay range is $158,000-$180,000. Quicken is building a team of innovative and talented individuals passionate about helping people improve their financial lives. We care about our employees' well-being and pride ourselves on offering a fabulous range of benefits and perks. From comprehensive healthcare coverage, a 401(k) plan with a generous 5% match, fitness subsidies, education reimbursement, and onsite lunches, to name a few - we've got you covered! At Quicken, we believe happy employees are successful employees, so we're committed to creating a fun and supportive work environment that encourages personal and professional growth, recognizing that a thriving workforce is essential to our collective success! (Benefits and perks may vary based on location.) Quicken is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Industries
Financial Services and Software Development Referrals increase your chances of interviewing at Quicken by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Tuition assistance Disability insurance Get notified when a new job is posted. Sign in to set job alerts for Software Engineer roles.
Mountain View, CA $145,000.00-$170,000.00 5 hours ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 1 day ago San Francisco Bay Area $160,000.00-$180,000.00 2 weeks ago Software Engineer (L4), Content & Business Products
San Francisco Bay Area $160,000.00-$180,000.00 2 weeks ago Sunnyvale, CA $112,000.00-$185,000.00 1 day ago Palo Alto, CA $140,000.00-$185,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 4 days ago Mountain View, CA $158,000.00-$198,000.00 1 week ago eCommerce Full Stack Developer (React / Shopify) - On Site
Palo Alto, CA $140,000.00-$265,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 4 days ago San Jose, CA $113,400.00-$206,300.00 4 days ago San Jose, CA $100,500.00-$173,250.00 1 day ago Software Engineer - New Grad (2026 Start)
Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago San Mateo, CA $150,000.00-$300,000.00 5 days ago Mountain View, CA $137,500.00-$186,500.00 3 days ago San Jose, CA $113,400.00-$206,300.00 4 days ago Software Development Engineer - Front End
San Jose, CA $133,900.00-$242,000.00 2 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr