Casap Logo

Casap

Senior Machine Learning Engineer

Reposted 12 Days Ago
Hybrid
San Francisco, CA, USA
Senior level
Hybrid
San Francisco, CA, USA
Senior level
Design, implement, and deploy production-scale machine learning models to evaluate disputes, chargebacks, and fraud likelihood. Build and manage orchestration layers for multiple models, collaborate with stakeholders to integrate partner/customer data, and improve automated and supervised decision-making for a product-focused ML environment.
The summary above was generated by AI
About Casap

Casap is a Series A startup that has raised over $30M from Emergence, Lightspeed, and Primary Ventures. Based in San Francisco, the company was founded by product leaders from Robinhood and Chime. We are on a mission to change the way banks operate by automating disputes and fighting friendly fraud. People love what we’ve built, from everyday users to the biggest names in finance.

Casap is looking for a talented Machine Learning Engineer in San Francisco excited to supercharge how banks operate with a rapidly scaling product at the forefront of automation and Artificial Intelligence

What You’ll Do
  • Develop and implement machine learning models to evaluate disputes and chargebacks and likelihood of fraud

  • Create and manage an orchestration layer for multiple models, enabling automated and supervised decision-making processes

  • Collaborate with stakeholders to leverage valuable data from partners and customers, ensuring a continuously learning experience and first-class user experience

What We Look For
  • 3+ years of experience designing and deploying ML models in a high-scale production environment.

  • Strong knowledge of machine learning algorithms and data analysis techniques.

  • Enthusiastic about building ML infrastructure from scratch in a nascent environment.

  • Ability to think like a product engineer, balancing technical innovation with practical application and user needs.

  • Strong proficiency in programming languages like Python, R, or similar, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.

  • Excellent problem-solving skills and the ability to work independently and in a collaborative team environment.

Similar Jobs

5 Days Ago
Hybrid
Santa Clara, CA, USA
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and calibrate an agent evaluation platform for multi-step LLM agent trajectories. Design rubrics, deterministic validators, LLM judges, confidence scoring, and human calibration workflows. Fine-tune judge models, analyze simulation-versus-production divergence, and develop process reward models for agent optimization. Establish versioned scenarios, simulated environments, and reliable measurement standards while maintaining production-grade Python code.
Top Skills: Knowledge DistillationLarge Language ModelsPreference TuningProcess Reward ModelsPythonRlaifRlhfSft
7 Days Ago
Hybrid
Sunnyvale, CA, USA
170K-241K Annually
Senior level
170K-241K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design and build scalable, reliable ML training infrastructure for advanced AI research and model development. Optimize distributed training performance, resource utilization, data loading, and costs across heterogeneous GPU and cloud environments. Improve platform observability, debuggability, operational excellence, and user experience. Collaborate with ML engineers, research scientists, and cross-functional partners to integrate new technologies supporting intelligent driving systems.
Top Skills: AWSAzureDistributed ComputingFsdpGCPGpu ComputingPipeline ParallelismPythonPyTorchTensorFlow
12 Days Ago
Hybrid
Mountain View, CA, USA
161K-274K Annually
Senior level
161K-274K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Develop and optimize search relevance for an enterprise question-answering platform. Build ranking features and frameworks, enable parallel ranking experiments, and create metrics to evaluate ranking performance. Analyze query logs to identify search-quality improvements and apply information retrieval, machine learning, text processing, and natural language understanding techniques. Collaborate with product, UX, customer success, and engineering teams to deliver improved answer quality.
Top Skills: GoInformation RetrievalMachine LearningNatural Language ProcessingNatural Language UnderstandingText Processing

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account