Remote Software engineering Jobs · Spark

Job listings

$221,200–$387,100/yr

  • Define and drive the technical vision and strategy for Veza's platform organization.
  • Partner closely with Product, Security Engineering and GTM to translate business objectives and customer needs into platform capabilities.
  • Lead, mentor, and develop a team of engineering managers, tech leads, and senior engineers.

Veza, now part of the ServiceNow family, is the pioneer in identity security, built to answer the question of who can take what action on what data. Founded in 2020 and headquartered in Redwood City, California, Veza brings together their AI-native Access Graph with ServiceNow's AI Control Tower.

Europe Unlimited PTO

  • Design, build, and deploy robust machine learning systems for search and discovery.
  • Develop and optimize ML/DL models using transformer architectures and LLM techniques.
  • Translate research ideas and hypotheses into production-ready engineering solutions.

Jobgether is an AI-powered matching process company that ensures applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

$91,250–$127,750/yr

  • Develop and iterate on fraud prediction models using a mix of approaches for tabular and behavioral data.
  • Build and scale feature pipelines and training datasets from proprietary and third-party signals.
  • Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They appear to be a remote-first company.

$140,000–$190,000/yr
US Unlimited PTO 2w paternity

  • Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
  • Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation
  • Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.

Signifyd helps merchants confidently grow their businesses by building trusted relationships with their customers. Thousands of leading merchants across more than 100 countries trust them and they securely process billions of transactions each year. Their people are the heart of everything they do, driving their mission forward with commitment, empathy, and creativity.