Staff Machine Learning Engineer

Overview

On Site
180k - 220k
Full Time

Skills

Journalism
Startups
Accountability
Collaboration
Scalability
Mentorship
Data Science
Artificial Intelligence
Python
TensorFlow
PyTorch
Natural Language Processing
Named-Entity Recognition (NER)
Text Classification
Machine Learning (ML)
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Machine Learning Operations (ML Ops)
Amazon SageMaker
Innovation
Media

Job Details

Full-time | Competitive Compensation + Equity

Are you a seasoned Machine Learning Engineer with a decade of experience looking to make a meaningful impact at the intersection of technology, journalism, and civic engagement?

An ambitious and well-funded startup is seeking a Staff Machine Learning Engineer to help architect and scale their machine learning infrastructure. This role is ideal for someone who thrives in startup environments, enjoys building from the ground up, and wants to contribute to a product that promotes transparency, accountability, and access to local government data.
What You'll Do:
  • Lead the design and implementation of machine learning systems that extract insights from large-scale civic and legislative datasets.
  • Collaborate cross-functionally with product, data, and engineering teams to build NLP models, recommendation systems, and data categorization pipelines.
  • Own and evolve the MLOps strategy, ensuring reproducibility, scalability, and performance of ML systems in production.
  • Mentor junior ML engineers and contribute to a culture of technical excellence and innovation.
  • Stay current with emerging trends in ML and data science, bringing new ideas and technologies into the fold.
What We're Looking For:
  • 10+ years of experience in machine learning, data science, or applied AI roles.
  • Deep expertise in Python and ML libraries such as TensorFlow, PyTorch, Hugging Face, or similar.
  • Strong background in natural language processing (NLP), especially in entity recognition, summarization, and text classification.
  • Experience deploying and maintaining ML models in production (ideally on cloud platforms like AWS or Google Cloud Platform).
  • Proficiency in MLOps tools like MLflow, Kubeflow, or SageMaker.
  • Ability to thrive in an early-stage, high-autonomy environment with a strong sense of ownership.
  • Passion for public-interest tech, media innovation, or civic transparency is a plus.
Why You'll Love It:
  • Join a small, mission-driven team backed by prominent investors and led by media and tech veterans.
  • Build transformative tools that help journalists, policymakers, and citizens better understand how government works.
  • Fully remote and flexible working culture.
  • Strong compensation, equity, and benefits package.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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