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ML Engineer

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Solomon Page

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Location:
United States , Los Angeles

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

50.00 - 60.00 USD / Hour
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Job Description:

We are seeking an experienced Machine Learning Engineer to design, build, and deploy scalable machine learning solutions within a hybrid environment in San Francisco, CA. This role focuses on developing production-ready ML systems, building APIs and data pipelines, and supporting real-time applications for financial trading and portfolio management systems. The ideal candidate will have strong expertise in Python-based ML development, cloud technologies (preferably AWS), data engineering, and financial market data integration.

Job Responsibility:

  • Design, build, and deploy machine learning models and ML-driven applications
  • Develop infrastructure and tools for training, deploying, and monitoring ML models
  • Convert machine learning prototypes into production-grade systems
  • Build APIs, calculation engines, batch processes, and real-time modules supporting trading and portfolio management platforms
  • Perform feature engineering, data processing, and data analysis
  • Develop and maintain ETL pipelines and data workflows
  • Integrate applications with external market data providers such as Bloomberg and TradeWeb
  • Collaborate with cross-functional teams including engineering, data science, and trading stakeholders
  • Participate in architecture discussions and contribute to scalable ML platform design
  • Ensure systems are reliable, scalable, and optimized for performance

Requirements:

  • Strong programming experience with Python, Java, and other ML-related languages
  • Strong hands-on experience with Python libraries such as Pandas and NumPy
  • Experience building applications using FastAPI or Flask frameworks
  • Solid understanding of machine learning algorithms and techniques
  • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn
  • Strong experience in data analysis, feature engineering, and large dataset handling
  • Strong SQL skills and database knowledge
  • Experience with GraphQL
  • Experience building real-time and batch applications
  • Experience working with AWS cloud services including EKS, API Gateway, Lambda, Redis, S3
  • Experience with PostgreSQL or similar databases
  • Experience integrating with market data providers (Bloomberg, TradeWeb, etc.)
  • Experience developing ETL pipelines
  • 10–12 years of experience in Asset Management or Financial Services
  • Strong communication skills with the ability to coordinate with multiple stakeholders

Nice to have:

  • Experience with JupyterLab
  • Experience with Apache Airflow or other workflow orchestration tools
  • Knowledge of DevOps practices
  • Strong interest in experimenting with new AI/ML technologies and platforms
  • Experience working on Equity or Fixed Income trading use cases
  • Exposure to data science platforms and advanced analytics tools
What we offer:
  • medical
  • dental
  • 401(k)
  • direct deposit
  • commuter benefits

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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