Source Job

• Design and develop backend systems using Python or Kotlin for the ML Feature Platform.
• Build and maintain a self-serve platform for feature creation, exploration, and serving for machine learning and decisioning.
• Own end-to-end flows including data storage, availability, backfilling infrastructure, and platform improvements.

Affirm is reinventing credit to make it more honest and friendly, offering buy now, pay later solutions without hidden fees or compounding interest. The company is remote-first with a focus on reliability and performance, and it emphasizes a people-first culture.

• Own the ML serving API and deploy models to production with CI/CD and infrastructure as code.
• Build monitoring, alerting, and reliability for NBA models and LLM agents.
• Drive architectural decisions and mentor engineers on MLOps patterns.

Clutch is a vertical SaaS company backed by Andreessen Horowitz, revolutionizing how credit unions engage with members via fintech lending software. The company is small and ambitious, with a lean data team of five that values pragmatism and fast shipping.

• Build and maintain data pipelines with DBT, Airflow, DynamoDB, and AWS Lambda, and develop APIs that serve data to the product.
• Own the full stack of client-facing analytics and admin tools, ensuring robust testing and monitoring.
• Contribute front-end code to integrate data into product experiences and build telemetry for analytics and machine learning models.

Vivian Health is the largest healthcare jobs marketplace, using an AI-driven platform to connect healthcare professionals with job opportunities and enhance hiring efficiency for employers. Backed by over $75 million in capital from investors like Thoma Bravo, the company has won awards for being a top remote workplace and has a culture focused on innovation and collaboration.

• Build integrations with healthcare and financial systems
• Automate end-to-end data ingestion and delivery pipelines
• Design high-throughput, low-latency systems where performance is a mission-critical requirement

Anomaly uses AI and healthcare transaction data to decode complex payer behavior and close the knowledge gap between providers and payers. Founded in 2020, it is a small, remote-friendly team with a hacker mindset.

• Build the reporting infrastructure that Finance and Analytics actually trust, including revenue dashboards, margin analysis, and audit trails.
• Design and implement ETL/data pipeline integrations between administer and Vultr's data warehouse, analytics tools, and external ERP systems.
• Create the API surface and event contracts that let downstream systems consume administer data reliably.

Vultr makes high-performance cloud infrastructure easy, affordable, and locally accessible for enterprises and AI innovators globally. As the world's largest privately-held cloud infrastructure company with 33 data centers and a $3.5 billion valuation, we are self-funded, growing, and trusted by hundreds of thousands of customers across 185 countries.

• Drive end-to-end ML development for customer-facing SaaS products, from pipelines to production deployment and monitoring.
• Design evaluation strategies and A/B tests to prove ML features improve customer outcomes and business impact.
• Influence product roadmap by communicating ML capabilities and trade-offs to cross-functional teams.

WorkWave provides field service and logistics software solutions that help businesses manage their operations and serve their customers. They are a global company with a remote-first culture, recognized as a Best Place to Work and named among the top software companies worldwide.

• Build and maintain data pipelines for analytics, ML, and product applications.
• Design scalable data infrastructure with a focus on quality and observability.
• Collaborate with cross-functional teams to understand data needs and implement solutions.

Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.

• Design, build, and maintain scalable data pipelines for processing large volumes of transactional data.
• Develop and own end-to-end data models, transformations, and analytics solutions for business intelligence and machine learning.
• Evolve cloud-based data platforms and establish data quality practices to prepare for AI-powered use cases.

The company builds and scales data infrastructure for next-generation customer experiences and analytics platforms. It is a fast-growing technology company with a fully remote, collaborative culture.

• Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
• Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
• Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.

Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.

• Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics and automation.
• Develop and operationalize end-to-end ML workflows from data preparation to model monitoring.
• Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products.

Boulevard provides a client experience platform for appointment-based self-care businesses, empowering customers to give clients magical moments. The company values diversity, experimentation, and simplicity, and celebrates diverse backgrounds.

• Develop highly scalable and reliable data systems on AWS cloud platform for data-centric products.
• Collaborate with Data Science teams to incorporate Machine Learning algorithms using Python and data engineering tools.
• Lead and mentor team members, contribute to Agile cycles, and ensure timely delivery of documented software.

Experian is a global data and technology company that powers opportunities for people and businesses worldwide. With 22,500 employees across 32 countries, they foster a culture of innovation and data-driven solutions.

• Lead design and integration of new services for data and event processing.
• Scale the Datastore’s core infrastructure and implement APIs for clinical studies.
• Partner with product managers and teams to ensure data integrity and maintainability.

Beacon Biosignals is a precision medicine company focused on brain disorders, using EEG data and AI for biomarker discovery. With nearly 100,000 patient records and a cloud platform, their small team fosters empathy and scientific impact.

• Design and develop scalable backend services and APIs for the Customer Data Platform and AI ecosystem.
• Build secure, high-performance service layers on top of PostgreSQL, Snowflake, and other enterprise data platforms.
• Partner with Data Engineering and ML Ops teams to support model serving, data products, and operational data systems.

National Debt Relief is a leading debt settlement organization that helps consumers overcome overwhelming debt. They have helped over 450,000 people settle over $10 billion of debt and foster a team-oriented environment with growth opportunities and employee mentorship programs.

• Design, build, and maintain scalable backend systems, APIs, and distributed services supporting growth initiatives.
• Own complex projects from design to deployment, ensuring high quality, scalability, and operational excellence.
• Collaborate with product, data, and engineering teams to translate business goals into robust technical solutions.

Our partner is a technology company that builds a backend platform powering user acquisition, engagement, and lifecycle growth. They foster a remote-first culture and prioritize engineering excellence, collaboration, and ownership.

• Build ML infrastructure for low-latency model deployment, distributed inference pipelines, and real-time telemetry.
• Scale ranking systems by moving models from experimentation to production, optimizing latency and cost trade-offs.
• Implement model CI/CD for automated versioning, canary releases, hot-swappable container rollouts, and zero-downtime rollbacks.

Sequen provides an integrated platform that pairs cutting-edge frontier ranking models with infrastructure to run them in production at sub-10ms latency and enterprise scale. They are a small, highly technical, early-stage team focused on turning recent AI advances into production-grade systems.

• Design and launch backend systems at scale using Python or Kotlin.
• Collaborate with product management, design, and analytics to define technical plans and articulate constraints.
• Foster a culture of quality and ownership through code reviews, design standards, and tech talks.

Affirm is reinventing credit to make it more honest and friendly, offering consumers the ability to buy now and pay later without hidden fees. The company is a global fintech with a remote-first culture, known for its agile and fast-paced environment, serving over 20 million users.

• Design and scale LLM-based systems processing billions of unstructured data points daily for insurers.
• Own end-to-end outcomes, set technical direction, and solve cutting-edge challenges under ambiguity.
• Work in a small team where individual contributions have outsized impact on technology and business.

Kalepa is building professional-grade AI systems for the insurance industry, augmenting professionals and automating decision-making across workflows. Backed by IA Ventures and Inspired Capital, the team brings experience from Facebook, Palantir, Google, and other top companies, with a culture of hustle, meritocracy, and transparency.

• Design and build scalable backend services and APIs.
• Develop integrations with healthcare and financial systems.
• Build reliable, observable data ingestion and processing pipelines.

This healthcare AI startup builds products that help providers navigate reimbursement landscapes using machine learning and AI. It has assembled an exceptional technical team and is fast-growing.

• Design and maintain scalable data pipelines for ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
• Build workflows for processing unstructured data and develop semantic representations to enable advanced search, retrieval, and LLM-powered applications.
• Collaborate with stakeholders to translate business requirements into scalable data and ML solutions.

Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to review applications and share top-fitting candidates directly with employers, ensuring a fair and efficient hiring process.

• Design and build scalable data pipelines using Python and SQL to ingest, transform, and curate data from internal and external sources.
• Implement schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs.
• Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products.

Cohere Health provides a clinical intelligence platform that uses AI to connect health plans and providers, improving care quality and reducing costs. We are a growing company recognized as a top LinkedIn startup and backed by leading investors, fostering a supportive, growth-oriented culture.