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Senior Machine Learning Engineer jobs in United States
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Propel · 2 days ago

Senior Machine Learning Engineer

Propel Labs is an IDEO-style studio for AI and tough tech, focused on mining technology. They are seeking a Senior Machine Learning Engineer to own the AI product build, translate domain requirements into working ML systems, and establish foundational ML practices.
Computer Software

Responsibilities

Own the AI Product Build
Take requirements from geoscientists → ship working ML features within weeks, not quarters
Build data pipelines from raw geological data → model-ready features
Implement uncertainty quantification that geoscientists will actually trust
Deploy models that work in production, not just notebooks
Bridge Domain and Engineering
Sit in meetings with domain experts, ask the right technical questions
Translate "we need variogram auto-fitting" into a working system
Validate model outputs with domain experts before shipping
Set ML Foundations
Establish experiment tracking, model versioning, evaluation frameworks
Make pragmatic build vs. buy decisions (fine-tuning vs. off-the-shelf)
Design for iteration speed, not perfection
90 Day Expectation
Within your first 90 days, you will ship a working ML feature that geoscientists at our partner company use in their daily workflow

Qualification

Production ML experiencePython fluencyMLOps fundamentalsPyTorchTensorFlowNumerical computingCuriosity about domainsComfortable with ambiguityPragmatic mindsetSpatial dataTime-seriesUncertainty quantification

Required

5-8 years total, with at least 3 years in production ML (not just research)
Background in applied ML for scientific or industrial domains: geospatial, climate, energy, manufacturing, robotics
Track record of ML systems that non-technical domain experts actually use and trust
Python fluency, PyTorch or TensorFlow
MLOps fundamentals: experiment tracking (MLflow, W&B), model versioning, CI/CD for ML
Comfortable with numerical computing and messy real-world data
Pragmatist who ships over perfectionist who polishes
Comfortable with ambiguity; makes progress when requirements are fuzzy
Genuinely curious about domains outside ML; wants to learn how geoscientists think

Preferred

Bonus: experience with spatial data, time-series, or uncertainty quantification

Benefits

Equity: Meaningful ownership in a pre-Series A company

Company

Propel

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If you’re building something ambitious and technical, Propel helps you move from idea → proof → product—without losing momentum or accumulating crippling technical debt.

Funding

Current Stage
Early Stage
Company data provided by crunchbase