Remote Software engineering Jobs • Spark

As a member of the Mambu Data Insights team, you will play a key role in building and scaling our data platform. You will be responsible for designing, developing, and maintaining robust and scalable data pipelines and infrastructure. This includes building data processing solutions to handle large volumes of structured and unstructured data.

Collaborate with experienced software engineers, data scientists and product managers to rapidly build, test, and deploy code to create innovative solutions and add value to our customers' experience. Build large scale platform infrastructure and REST APIs serving machine learning driven content recommendations to Seismic products. Actively participate in code reviews, system design reviews, agile ceremonies, bug triage and on-call rotations.

As a Software Engineer in our Furnishing Platform team, you'll build scalable systems and data pipelines to power our consumer credit reporting. You will partner closely with our Product, Compliance, Servicing, and Credit teams to design robust reporting systems. The systems you will work on are vital for delivering accurate and timely data from Affirm’s financial product portfolio to Consumer Reporting Agencies.

In this role, you’ll help us build a suite of tools which together form the foundation with which ML & AI is created at Airbnb. You will contribute to creating a scalable shared platform that accelerates the pace of Machine Learning design & development and the deployment of impactful, high-quality ML use cases company-wide. You’ll also join us in creating the GenAI infrastructure that will make AI the center of our business.

As a Staff FHIR Gateway Engineer at Arcadia, you will shape the technical direction of the Data Gateway, ensuring customers can exchange data using the latest FHIR standards—securely, efficiently, and at scale. You will design and build FHIR integrations, architect distributed solutions, champion data quality & compliance, optimize & troubleshoot, mentor & collaborate, and influence standards.

This position is needed to manage the team of machine learning engineers of the Growth & User Intelligence team and closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. You will understand customers' needs, build ML and Data Science products that work at a global scale and own end-to-end execution of large scale ML solutions.

Design, implement, and improve machine learning Systems. Contribute to machine learning applications end to end, i.e. from research to prototype to production. Work with product managers, designers, and customers to define vision and strategy for a given product. You should be able to work alongside experienced engineers, designers, and product managers to help deliver new customer-facing features and products.

Solve difficult design challenges in the utilities market, which is complicated and outdated; strong attention to detail is essential. Technical problems include processing tens of millions of meter readings a day and adapting Kraken to improve other utilities like water and broadband. Develop core product features and shape the technical foundation. Mentor and onboard team members.

The Streaming team at Affirm forms the backbone of several online and offline workloads at Affirm and drives the strategy for event driven architecture, stream processing, replication, data exploration, discovery and validation. As a member of our team you would spend time identifying and executing on new use cases of streaming data infrastructure and frameworks , designing and scaling our existing infrastructure and working closely with other teams to promote the optimal use of data at the company.

The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. As a Staff Machine Learning Platform Engineer at Coinbase, you will play a pivotal role in building an open financial system. You will build the foundational components for training and serving ML models at Coinbase. You will get the opportunity to apply your software engineering skills across all aspects of building ML at scale.