Senior Machine Learning Engineer

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

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.