Kikoff

Kikoff

Senior Machine Learning Engineer

San Francisco · Senior

Sponsorship not specified$244k-$292kDetected 1 day ago
PythonData StructuresAlgorithmsAWSGCPDockerKubernetesCI/CDMachine LearningTensorFlowPyTorchData EngineeringData ScienceMLOpsStatisticsA/B TestingValuationCommunicationCollaborationProblem SolvingMentoringUnderwriting

About the role

  • Why Kikoff: This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products.
  • The ideal candidate will have a strong background in software development, machine learning, and data engineering, with experience in deploying scalable ML models in production environments.
  • Ensure models are robust, scalable, and maintainable. - Collaboration: Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.

Responsibilities

  • Performance Monitoring: Monitor and evaluate the performance of deployed models, ensuring they meet the desired accuracy and efficiency metrics. Implement processes for continuous improvement and optimization of models.
  • A/B Testing and Experimentation: Design and implement experiments to optimize models and ensure they align with business goals.
  • With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money.
  • Join us if you want to build something meaningful and help millions of people move forward financially.
  • We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Implement processes for continuous improvement and optimization of models.
  • Design and implement experiments to optimize models and ensure they align with business goals.
  • We don't cut corners when we know we'll need them but we don't build things without that need.

Requirements

  • Strong understanding of data structures, algorithms, and software design principles.
  • Analytical Skills: Strong problem-solving skills with the ability to analyze complex data sets, apply advanced data science techniques, and derive actionable insights.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • You absolutely need to be interested in data if you want to leverage your knowledge of systems.
  • Design, build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from various sources.
  • ML Infrastructure and Operations: Design, build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from various sources.
  • Educational Background: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree preferred.
  • Technical Skills:
  • Analytical Skills: Strong problem-solving skills with the ability to analyze complex data sets, apply advanced data science techniques, and derive actionable insights. Proficient in building predictive models, performing statistical analysis, and utilizing machine learning algorithms to identify trends, patterns, and opportunities for optimization.
  • Scrappy. We had a product goal and put out the MVP, collecting our first users with steady growth via paid channels in four months. We don't cut corners when we know we'll need them but we don't build things without that need. We don't like inefficiency but we dislike operationalizing one-off tasks even more.
  • Risk-oriented. Everything has risk, but a mature team knows how to make these tradeoffs. That's why we built the MVP fast--because time is your most valuable asset and is practically fungible with money in the startup world.
  • Data-obsessed. We all look at data and pull it, and we believe that understanding the mechanics can yield valuable insights. Complex systems require elegant, not just simple solutions. You absolutely need to be interested in data if you want to leverage your knowledge of systems.

Nice to have

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Advanced degree preferred.

Skills

  • Proficiency in programming languages such as Python or Ruby.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Familiarity with MLOps practices and tools for continuous integration and deployment of ML models.
  • Experience with cloud services (e.g., AWS, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Analytical
  • Communication
  • What we're like:
  • $244,000 - $292,000 USD
  • Equal Employment Opportunity Statement
  • Kikoff Inc. is an equal opportunity employer.
  • Please reference the following for more information.

Compensation

  • $244,000 - $292,000 USD

Benefits

  • Develop and manage data pipelines and workflows for machine learning models.
  • Model Development and Deployment: Design, develop, and implement machine learning models for underwriting and other financial service applications.
  • Collaboration: Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
  • Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of learning and growth within the team.
  • We are seeking a Senior Machine Learning Engineer to join our team.
  • This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash advance underwriting model and other machine learning use cases.

Company info

  • Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security.

Equal opportunity

  • We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Visa & Work Authorization

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This listing is sourced directly from Kikoff's careers page and normalized into a canonical job model.