DailyPay
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Prior Listings
Machine Learning DevOps Engineer
Machine Learning DevOps Engineer
About Us:
DailyPay is the leader in the on-demand pay industry with an unrivaled technology platform, an unmatched list of blue-chip clients and an extensive list of industry awards. We are rewriting the invisible rules of finance by creating a new financial system. A financial system that is more equitable and inclusive, and benefits everyone. A financial system that enables workers to access their earned pay when they need it. We believe that money should move faster and smoother between employer and employee, between merchant and shopper, between financial institution and customer.
We are a mission-driven company dedicated to designing technology that can build a better financial system and future. It’s no wonder that we are growing at an extraordinary pace. Now we are looking for people who are as passionate as we are about reimagining how money moves. If you’re willing to define new rules, change systems and lives, come join us at DailyPay.
The Role:
DailyPay is looking for a Machine Learning DevOps Engineer to architect, deploy and monitor critical predictive, machine learning models to better understand our business, our revenue growth, and our long-term financial success. This position will work with software developers, database architects, data analysts and data scientists to expand and optimize our data and data pipeline architecture.
Our applications make millions of dollars available to employees every day preventing late fees, use of predatory lending, and offering clarity into earned wages. We need an expert who can support the deployment, uptime, and reliability of our teams’ services.
The mission of the Data Team is critical for continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay’s leading role in the early wage access industry - - and the Machine Learning Engineer will be instrumental in helping to realize this vision for DailyPay.
As a member of this team, you’ll work with data scientists, data analysts, database architects and software engineers to build, deploy, monitor and maintain ML models and services using resources provided by the infrastructure team.
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 distributed, real-time, high-volume data pipelines and work together with others to enable high-scale Data Science / Machine Learning
- Ensure applications are engineered to effectively collect and monitor increasingly complex data
- Enable us to operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing
- Transform data science prototypes into production grade code / models with appropriate guardrails
- Build, test, validate and evaluate ML models using various relevant error and performance metrics
- Use cloud monitoring services like Datadog to provide observability, so we can easily debug, scale, and tune our applications
- Design monitoring systems to track key metrics like changes in data distribution, training-serving skew, model drift, system latency, etc.
- Explain analytics model behavior / results in the vernacular of the market need
- Derive insights about the usage, adoption and value of DailyPay products
What You Bring to The Team:
- Experience with a mix of backend programming, operations, and working with data pipelines, data warehouses and deploying ML models
- You also have significant experience building high throughput/low latency systems
- 3+ years of experience developing applications or their deployment mechanisms, including testing, scaling, and monitoring
- 4+ years of Data Science and Machine Learning experience
- Experience with cloud platforms, preferably AWS, and their primary services and configuration
- Experience with one or more programming languages such as Python, Ruby, Javascript, or Java (Preferred: Python and Ruby)
- Experience in Data Warehousing and Data Lake buildouts (Knowledge of Snowflake, Redshift, and ETL tools like Fivetran or Stitch is a plus)
- Excellent presentation and communication skills
- You have a natural curiosity and an investigative mentality; you’re driven by the “why”
- Experience in deploying applications in containers (Docker, etc.) and automated deployment
- Experience with Kafka
Nice to Haves:
- Experience in FinTech
- Good knowledge of applicable data privacy practices and laws
What We Offer:
- Competitive compensation
- Opportunity for equity ownership
- Exceptional health, vision, and dental care
- Employee Resource Groups
- Fun company outings and events
- Unlimited books from Amazon
- Unlimited PTO
- 401K with company match
No sponsorship is available for this position.
DailyPay does not accept and will not review unsolicited resumes from search firms.
As part of our dedication to health and safety, DailyPay requires all colleagues holding in-office positions, or who will be attending any in-person company meetings, be fully vaccinated against the Covid-19 virus unless there is a documented and approved medical or religious accommodation. As a condition of employment, prior to your start date, you will be required to submit proof of your vaccine status.
DailyPay is committed to fostering an inclusive, equitable culture of belonging, grounded in empathy and respect, which values openness to opinions, awareness of lived experiences, fair treatment and access for all. We strive to build and develop diverse teams to create an organization where innovation thrives, where the full potential of each person is engaged, and their views, beliefs and values are integrated into our ways of working.
We encourage people of all backgrounds to join us on our mission. 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.