Machine Learning Engineer

Posted 10 Days Ago
San Francisco, CA
In-Office
150K-225K
Mid level
Fintech • Security • Analytics • Financial Services
Elegantly designed products (KYB, Fraud, Credit). 2,000+ Bank, Lending, and Government Clients.
The Role
Develop and maintain ML models, integrate data sources, design ML systems for KYC/KYB, implement advanced ML techniques, ensure compliance and optimize performance.
Summary Generated by Built In

About Baselayer:

Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer’s B2B risk solutions & identity graph network leverage state & federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses. 


About You:

You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win—you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions.

  • You have 1-3 years of experience in machine learning development, working with Python and building ML models
  • You're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systems
  • You have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniques
  • You prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYB
  • You have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performance
  • You thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstraction
  • Problem-solver who navigates the unknown confidently
  • Proactive self-starter who thrives in dynamic settings
  • Incredibly intelligent and clever. You take pride in your models
  • Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level

Responsibilities:

  • Model Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM space
  • ML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases
  • Data Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional data
  • Advanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity space
  • ML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovation
  • Model Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulations
  • Performance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliability
  • Experimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use cases

Benefits:

  • Hybrid in SF. In office 3 days/week
  • Flexible PTO
  • Healthcare, 401K
  • Smart, genuine, ambitious team

Salary Range: $150k – $225k + Equity - 0.05% – 0.25%

Top Skills

AI
Data Pipelines
Llms
Machine Learning
Model Governance
Python
Reinforcement Learning
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The Company
HQ: New York, New York
21 Employees
Year Founded: 2021

What We Do

Baselayer empowers over 2,000 financial institutions and government agencies to trust the small and medium-sized businesses they serve.

We use proprietary machine learning to search government records, the web, and private databases to answer questions about Compliance, Risk, or Fraud about any business in the United States.

Our solution suite includes tools for identity verification (Know Your Business), enhanced due diligence, fraud prevention, risk profiling, lien filing, and portfolio monitoring. Our platform also offers unique credit stacking capabilities and an advanced repeat fraud prevention system.

Baselayer is integrated into companies with over 30 million accounts, rating and verifying real-time applications.

Baselayer.com

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