Page 1
Loading more openings…
You've reached the end of the list.
AI Solutions Engineer (Forward Deployed Engineer)
DailyPay · Minneapolis, Minnesota, United States
Pay
$136k–209k
Setting
Remote
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
ROLE
As an AI Solutions Engineer, you will be at the heart of our mission to integrate AI into the processes and workflows serving DailyPay. Situated directly within DailyPay's Engineering organization, you will empower other departments to create AI-based solutions and act as their premier "go-to" technical leader.
In this cross-functional role, you work with domain experts to capture workflows as skills, uncover workflow bottlenecks, and build the custom software, scripts, and model integrations needed to bring DailyPay’s AI strategy to life. By bridging the gap between enterprise-grade AI engineering and daily business unit execution, you will raise the bar for engineering excellence and ensure our technology directly translates into enhanced financial wellness for our users.
HOW YOU WILL MAKE AN IMPACT
- Discover and Build: Embedded across departments to shadow domain experts to uncover workflows and pain points, design and ship automation (MVPs, custom scripts, API integrations), and mature solutions into managed, durable agents.
- Own Outcomes: Define metrics with stakeholders, track adoption and ROI, and prioritize projects based on feasibility, risk, and business value.
- Build Reliable AI Systems: Design, build, evaluate, and operate AI workflows; implement evaluation frameworks, guardrails, observability, and feedback loops.
- Be the resident expert: Serve as the on-the-ground authority for AI questions. Help non-technical teams evaluate, configure, and get more out of the AI features already sitting in their existing SaaS stack.
- Elevate AI literacy: Mentor peers in AI development, build learnings into reusable documentation and training, and demo emerging AI capabilities to inspire many across the company.
- Enrich Engineering: Steer hosted harness and local harness development with the distilled problems, prototypes, and established workflows created with various departments.
- Optimize AI Performance and Cost: Benchmark model performance, optimize prompt/token usage, manage API latency, and monitor operational costs to keep AI applications efficient and scalable as usage grows.
- Promote safe and responsible usage: Ensure department-level AI work adheres to company policy on data privacy, security, and ethical use.
WHAT YOU BRING TO THE TEAM
- Software Engineering Foundation: 3+ years of professional software development experience, featuring strong proficiency in Go or JavaScript (ideally both) and standard engineering practices (version control, testing).
- Practical AI/LLM Implementation: Hands-on experience building, or contributing to applications with Large Language Models (LLMs) or managing complex workflows using AI tools. Has a deep understanding of managing larger AI-powered projects including agent design, skills, context, and memory.
- Platform Communications: Experienced in working with APIs and MCPs of typical company platforms like Jira, Github, or Salesforce
- Consultative Communication Skills: Exceptional ability to translate complex machine learning and engineering concepts into plain, business-friendly language for non-technical stakeholders.
- Business Acumen & Problem Solving: Proven track record of analyzing business operations, formulating technical requirements from vague problems, and prioritizing solutions based on ROI.
- Cross-Functional Adaptability & EQ: High emotional intelligence with a demonstrated comfort working autonomously inside non-technical departments, building trust as a collaborative peer rather than a rigid IT gatekeeper.
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.
Senior Software Engineer, ML Platform
DailyPay · Minneapolis, Minnesota, United States
Pay
$170k–190k
Setting
Remote
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.
Select a role
The full posting opens here — pay, setting and the full description, without leaving the list.