About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center. http://www.dailypay.com/press
THE ROLE:
DailyPay is looking for a Data Engineer II to join our Data Engineering Team. The Data Engineering Team is responsible for building the data infrastructure that underpins our data analytics and data products that are used cross-functionally inside the company (finance, sales, marketing, operations, engineering, etc.) as well as by DailyPay partner companies. The team also ingests internal and external data to help provide insights about the payroll industry in general, as well as about personal finance and financial wellbeing.
HOW YOU WILL MAKE AN IMPACT:
- Build and maintain company’s ETL and data pipelines
- Design and implement data testing and scaling capabilities
- Maintain and optimize monitoring and alerting for company’s ETL and data pipelines, data warehouse, and analytics infrastructure
- Optimize database performance while reducing warehouse costs and development times
- Participate in code approvals and PR review process for company-wide analytics engineering efforts
- Produce, support and maintain data reports, analytics, metrics and dashboards for internal and external use
WHAT YOU BRING TO THE TEAM:
- 4+ years SQL experience; expert SQL capability
- Interest in utilizing AI to develop more efficient systems, improve proactive alerting, and optimize query performance
- Experience in data storage architectures, including dimensional models, data lakes, data lakehouses, and data warehouses
- Experience working in an event-driven architecture and cloud platforms (e.g. AWS, Azure, GCP)
- Experience working with large volumes of data, making models performant and scalable
- Familiarity with BI tools (e.g Tableau, Looker, or similar)
- Excellent presentation and communication skills
- Experience with MPP data warehouses, such as Snowflake or BigQuery.
- Familiarity with ETL tools, such as Fivetran or Stitch
- Ability to reverse-engineer legacy reports and rebuild them into structured, automated solutions
- Excellent skills in explaining technical data concepts to non-technical finance and operations partners
Nice to Haves:
- Familiarity with Python, Go, or similar languages for custom data processing and automation
- 1+ years of experience with dbt (Data Build Tool), including implementing data quality checks and testing frameworks
- Experience working with financial/accounting data or platforms such as NetSuite, Sage, or similar ERP systems
- Experience with CI/CD, automated releases, and orchestration tools like Airflow
- Familiarity with reverse ETL tools (e.g., Hightouch or Census) to push data from the warehouse into business applications
WHAT WE OFFER:
- Exceptional health, vision, and dental care
- Opportunity for equity ownership
- Life and AD&D, short- and long-term disability
- Employee Assistance Program
- Employee Resource Groups
- Fun company outings and events
- Unlimited PTO
- 401K with company match
High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.
In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.
We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.
If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.
Listed by DailyPay for a position based in the United States. Employers on this board attest they are hiring domestically.
About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center. http://www.dailypay.com/press
THE ROLE:
We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the reliability, performance, and scalability of ML models in production. This role requires deep hands-on experience with MLOps principles, cloud infrastructure, and a track record of delivering robust ML systems in a fast-moving environment.
You will work closely with data scientists, engineers, and product stakeholders to deliver high-quality ML solutions that directly impact DailyPay's core products. You are expected to operate with significant autonomy: defining work, identifying dependencies, and raising the bar for the team around you.
HOW YOU WILL MAKE AN IMPACT:
- Platform Ownership: Help architect and build DailyPay's unified ML platform - a unified system for model development, deployment, and monitoring that serves as the backbone for every AI and ML capability at the company.
- MLOps Architecture & Delivery: Design and implement scalable ML pipelines covering model training, deployment, monitoring, and retraining. Own the delivery of end-to-end MLOps solutions with minimal oversight.
- Cloud Infrastructure: Manage and optimize AWS infrastructure for machine learning workloads, balancing cost-effectiveness, security, and availability.
- CI/CD Pipeline Development: Build and maintain robust CI/CD pipelines for continuous integration and deployment of ML models and related infrastructure.
- Monitoring & Observability: Design monitoring and alerting systems for ML infrastructure and models using tools like Datadog. Proactively identify and resolve issues before they impact production.
- Technical Leadership: Lead design discussions, contribute to architectural decisions, and establish team norms for how ML systems are built, tested, and maintained. Help identify and remove blockers.
- Mentorship: Mentor junior engineers. Share domain knowledge and help build genuine technical depth on the team.
- Security & Compliance: Approach all engineering work with a security lens. Actively look for vulnerabilities in code and during peer reviews. Ensure ML pipelines handle sensitive data in accordance with company policy.
WHAT YOU BRING TO THE TEAM:
- 5+ years of experience in machine learning engineering, MLOps, or data engineering
- Strong cloud platform proficiency: AWS preferred (SageMaker, Lambda, S3, EC2, IAM, ECS), or equivalent GCP (Vertex AI, Cloud Functions, GCS, Compute Engine, Cloud Run) or Azure (Azure ML, Functions, Blob Storage, VMs, AKS) experience
- Proficiency in Python and experience with ML frameworks (scikit-learn, TensorFlow, PyTorch)
- Solid CI/CD experience: GitHub Actions or equivalent; designing and operating deployment pipelines
- Experience with infrastructure-as-code (Terraform or CloudFormation)
- Knowledge of event streaming platforms (Apache Kafka or equivalent)
- Experience with monitoring and observability tooling (Datadog, Prometheus, or Grafana)
- Strong SQL skills and experience with data pipeline tooling (dbt, Glue, Snowflake)
- Excellent communication skills; comfortable working across data science, engineering, and product teams
NICE TO HAVES:
- Experience with containerization and orchestration (Docker, Kubernetes)
- Familiarity with microservices architecture and RESTful API design
- Experience in fintech or regulated industries
- Contributions to open-source ML or MLOps projects
High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.
In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.
We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.
If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.
Listed by DailyPay for a position based in the United States. Employers on this board attest they are hiring domestically.
About Us:
DailyPay is transforming the way people get paid. As a worktech company and the industry’s leading on demand pay solution, DailyPay uses an award-winning technology platform to help America’s top employers build stronger relationships with their employees. This voluntary employee benefit enables workers everywhere to feel more motivated to work harder and stay longer on the job while supporting their financial well-being outside of the workplace.
DailyPay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visit DailyPay's Press Center. http://www.dailypay.com/press
THE ROLE:
We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the reliability, performance, and scalability of ML models in production. This role requires deep hands-on experience with MLOps principles, cloud infrastructure, and a track record of delivering robust ML systems in a fast-moving environment.
You will work closely with data scientists, engineers, and product stakeholders to deliver high-quality ML solutions that directly impact DailyPay's core products. You are expected to operate with significant autonomy: defining work, identifying dependencies, and raising the bar for the team around you.
HOW YOU WILL MAKE AN IMPACT:
- Platform Ownership: Help architect and build DailyPay's unified ML platform - a unified system for model development, deployment, and monitoring that serves as the backbone for every AI and ML capability at the company.
- MLOps Architecture & Delivery: Design and implement scalable ML pipelines covering model training, deployment, monitoring, and retraining. Own the delivery of end-to-end MLOps solutions with minimal oversight.
- Cloud Infrastructure: Manage and optimize AWS infrastructure for machine learning workloads, balancing cost-effectiveness, security, and availability.
- CI/CD Pipeline Development: Build and maintain robust CI/CD pipelines for continuous integration and deployment of ML models and related infrastructure.
- Monitoring & Observability: Design monitoring and alerting systems for ML infrastructure and models using tools like Datadog. Proactively identify and resolve issues before they impact production.
- Technical Leadership: Lead design discussions, contribute to architectural decisions, and establish team norms for how ML systems are built, tested, and maintained. Help identify and remove blockers.
- Mentorship: Mentor junior engineers. Share domain knowledge and help build genuine technical depth on the team.
- Security & Compliance: Approach all engineering work with a security lens. Actively look for vulnerabilities in code and during peer reviews. Ensure ML pipelines handle sensitive data in accordance with company policy.
WHAT YOU BRING TO THE TEAM:
- 5+ years of experience in machine learning engineering, MLOps, or data engineering
- Strong cloud platform proficiency: AWS preferred (SageMaker, Lambda, S3, EC2, IAM, ECS), or equivalent GCP (Vertex AI, Cloud Functions, GCS, Compute Engine, Cloud Run) or Azure (Azure ML, Functions, Blob Storage, VMs, AKS) experience
- Proficiency in Python and experience with ML frameworks (scikit-learn, TensorFlow, PyTorch)
- Solid CI/CD experience: GitHub Actions or equivalent; designing and operating deployment pipelines
- Experience with infrastructure-as-code (Terraform or CloudFormation)
- Knowledge of event streaming platforms (Apache Kafka or equivalent)
- Experience with monitoring and observability tooling (Datadog, Prometheus, or Grafana)
- Strong SQL skills and experience with data pipeline tooling (dbt, Glue, Snowflake)
- Excellent communication skills; comfortable working across data science, engineering, and product teams
NICE TO HAVES:
- Experience with containerization and orchestration (Docker, Kubernetes)
- Familiarity with microservices architecture and RESTful API design
- Experience in fintech or regulated industries
- Contributions to open-source ML or MLOps projects
High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.
In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.
We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.
If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.
Listed by DailyPay for a position based in the United States. Employers on this board attest they are hiring domestically.
About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center. http://www.dailypay.com/press
THE ROLE:
DailyPay is seeking a Senior Data Scientist to join our Data Science team.
This is a high-impact individual contributor role for a data scientist who executes complex modeling work with excellence and is growing their strategic influence across product and business stakeholders.
You will build and maintain the models and decision systems that personalize the DailyPay product experience — from optimizing financial decisions for workers, to personalizing communications and user experiences, to supporting fraud controls. You will contribute to the data infrastructure the team needs and follow established standards for production-grade ML.
This role is right for someone who does excellent, rigorous hands-on work and is ready to grow their ability to translate that work into clear business impact.
If this opportunity excites you, we encourage you to apply even if you do not meet all of the qualifications.
HOW YOU WILL MAKE AN IMPACT:
- Build, improve, and maintain ML models for personalizing the user experience including on-demand pay balance optimization, content personalization, and fraud controls.
- Build reliable data pipelines and features for model development, following team infrastructure standards. Identify gaps in data infrastructure along the way and advocate for solutions with engineering partners.
- Develop, evaluate, deploy, monitor, and improve both batch and real time models following established production standards.
- Stay current on AI/ML developments and apply sound judgment in algorithm selection and technique adoption by evaluating tradeoffs across modeling approaches and recommending the best tool for the problem.
- Write clean, well-documented, traceable, versioned, and reproducible code across all model development and pipeline work, following team standards for maintainability and auditability.
- Follow and contribute to data quality standards and validation practices; flag issues proactively and help improve team patterns.
- Partner with product and engineering on scoped problem areas, translating defined business questions into well-structured DS solutions. Bring senior DS leadership in early on ambiguous or high-stakes problem framing.
- Communicate model results and tradeoffs clearly to product and cross-functional partners, connecting technical outputs to business outcomes.
WHAT YOU BRING TO THE TEAM:
- 5+ years of Data Science & Machine Learning experience within fintech, payments, or a similarly regulated consumer domain. With a proven track record of shipping production models that directly impact the end-user experience.
- Bachelor’s or advanced degree in a quantitative discipline (e.g., computer science, machine learning, statistics, data science).
- Track record of independently building models that drive measurable business outcomes; experience seeing your own work through to production, including partnering with stakeholder teams to define success metrics and connect model performance to business value.
- Experience building and maintaining reliable feature engineering pipelines, with advanced SQL and Python skills and a working knowledge of the data infrastructure that supports model development at scale.
- Hands on experience with end-to-end model deployment; data pipelines, model monitoring, drift detection, and A/B test execution, with a strong instinct for production reliability.
- Experience owning models in production environments where failures have real financial or compliance consequences.
- Strong proficiency across modern AI, classical ML, statistical, and probabilistic methods; experience translating well-defined business objectives into modeling approaches and evaluating them rigorously.
WHAT WE OFFER:
- Exceptional health, vision, and dental care
- Opportunity for equity ownership
- Life and AD&D, short- and long-term disability
- Employee Assistance Program
- Employee Resource Groups
- Fun company outings and events
- Unlimited PTO
- 401K with company match
High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.
In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.
We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.
If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.
Listed by DailyPay for a position based in the United States. Employers on this board attest they are hiring domestically.
About Us: DailyPay is transforming the way people get paid. As a worktech company and the industry’s leading on demand pay solution, DailyPay uses an award-winning technology platform to help America’s top employers build stronger relationships with their employees. This voluntary employee benefit enables workers everywhere to feel more motivated to work harder and stay longer on the job while supporting their financial well-being outside of the workplace. DailyPay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visit DailyPay's Press Center.
The Role:
DailyPay is seeking a Senior Data Scientist to join our Data Science team.
This is a high-impact individual contributor role for a data scientist who executes complex modeling work with excellence and is growing their strategic influence across product and business stakeholders.
You will build and maintain the models and decision systems that personalize the DailyPay product experience — from optimizing financial decisions for workers, to personalizing communications and user experiences, to supporting fraud controls. You will contribute to the data infrastructure the team needs and follow established standards for production-grade ML.
This role is right for someone who does excellent, rigorous hands-on work and is ready to grow their ability to translate that work into clear business impact.
If this opportunity excites you, we encourage you to apply even if you do not meet all of the qualifications.
How You Will Make an Impact:
Build, improve, and maintain ML models for personalizing the user experience including on-demand pay balance optimization, content personalization, and fraud controls.
Build reliable data pipelines and features for model development, following team infrastructure standards. Identify gaps in data infrastructure along the way and advocate for solutions with engineering partners.
Develop, evaluate, deploy, monitor, and improve both batch and real time models following established production standards.
Stay current on AI/ML developments and apply sound judgment in algorithm selection and technique adoption by evaluating tradeoffs across modeling approaches and recommending the best tool for the problem.
Write clean, well-documented, traceable, versioned, and reproducible code across all model development and pipeline work, following team standards for maintainability and auditability.
Follow and contribute to data quality standards and validation practices; flag issues proactively and help improve team patterns.
Partner with product and engineering on scoped problem areas, translating defined business questions into well-structured DS solutions. Bring senior DS leadership in early on ambiguous or high-stakes problem framing.
Communicate model results and tradeoffs clearly to product and cross-functional partners, connecting technical outputs to business outcomes.
What You Bring to The Team:
5+ years of Data Science & Machine Learning experience within fintech, payments, or a similarly regulated consumer domain. With a proven track record of shipping production models that directly impact the end-user experience.
Bachelor’s or advanced degree in a quantitative discipline (e.g., computer science, machine learning, statistics, data science).
Track record of independently building models that drive measurable business outcomes; experience seeing your own work through to production, including partnering with stakeholder teams to define success metrics and connect model performance to business value.
Experience building and maintaining reliable feature engineering pipelines, with advanced SQL and Python skills and a working knowledge of the data infrastructure that supports model development at scale.
Hands on experience with end-to-end model deployment; data pipelines, model monitoring, drift detection, and A/B test execution, with a strong instinct for production reliability.
Experience owning models in production environments where failures have real financial or compliance consequences.
Strong proficiency across modern AI, classical ML, statistical, and probabilistic methods; experience translating well-defined business objectives into modeling approaches and evaluating them rigorously.
What We Offer:
Exceptional health, vision, and dental care
Opportunity for equity ownership
Life and AD&D, short- and long-term disability
Employee Assistance Program
Employee Resource Groups
Fun company outings and events
Unlimited PTO
401K with company match
High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.
In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.
We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.
If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.
Listed by DailyPay for a position based in the United States. Employers on this board attest they are hiring domestically.
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