Staff Machine Learning EngineerAlumni Ventures • San Francisco, California, United States
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Staff Machine Learning Engineer
Alumni Ventures
- San Francisco, California, United States
- San Francisco, California, United States
About
This role reports to one of our Engineering Managers and base compensation for this role may land between $190,000–$240,000. In addition to base salary, Medallion offers equity and benefits as part of the total compensation package. Many factors are considered when determining pay including: market data, geographic location, skills, qualifications, experience, and level.
What you'll do
Scope and lead ML initiatives end-to-end from identifying opportunities and defining the problem through production deployment and iteration
Design, develop, and optimize ML models and AI systems for document parsing, extraction, classification, and intelligent automation
Build and maintain production ML pipelines that are robust, observable, and scalable
Integrate and fine-tune third-party AI services (OpenAI, Amazon Textract, cloud ML APIs), managing cost, latency, and quality tradeoffs
Analyze datasets to uncover patterns, validate model performance, and generate actionable insights
Help develop our AI roadmap, balancing key technical and product tradeoffs
Drive architectural decisions for ML systems and establish best practices for development, evaluation, and deployment
Teach and mentor members of the engineering team, constantly modeling how great ML software should be developed
Requirements
8+ years of experience as a software engineer, with 4+ years focused on ML or applied AI in production environments
Track record of shipping ML systems that deliver measurable business impact
Strong proficiency in Python and the modern ML/AI stack (PyTorch, Hugging Face, scikit-learn, or similar)
Experience with LLMs in production including fine-tuning, prompt engineering, RAG, and evaluation strategies
Strong ability to work cross-functionally to help define, build, and deliver on product and tech objectives
Experience mentoring and leading teams, ideally in a startup environment
Care deeply about both technical success and product success
Excellent communication skills
You might also have:
Experience with healthcare data, compliance workflows, or regulated industries
Background in document understanding, OCR/ICR, or information extraction from unstructured data
Hands‑on experience with MLOps tooling (MLflow, W&B, Airflow) or cloud ML infrastructure (SageMaker, Vertex AI, Bedrock)
Graduate work in a quantitative field (CS, statistics, ML, or related)
We prioritize candidate safety. Please be aware that official communication will only come from @medallion.co email addresses.
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Languages
- English
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