Applied AI Scientist

Meadow AI; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Meadow AI is seeking a remote expert in applied machine learning to build solutions that help operators make decisions from data collected in digital and physical environments. The role spans from experiments to production, balancing model quality with efficiency, and covering the path from raw signals to user-facing insights.

You will work with Python, ML libraries, CV, and audio processing, operating on Linux systems and cloud tools to deploy end-to-end analytics and dashboards for

Qualifications

• Strong Python programming for ML workflows.
• Experience with common ML libraries and frameworks.
• Hands-on CV and audio-processing problem solving.
• Comfort with Linux and Bash to run models on physical hardware.
• Proficient SQL skills and data analysis capabilities.
• Clear communication and collaboration with stakeholders.

Responsibilities

• Explore and apply CV, audio, and LLM approaches to real problems.
• Turn proof-of-concept into production-ready systems for constrained environments.
• Lead end-to-end data-to-insights work, including dashboards.

Skills

Python

Machine learning libraries

Computer vision

Audio processing

Linux/Bash

SQL

Data analysis

Communication

Tools

Airflow

AWS

Git

Job description

Role overview

Explore and build applied machine learning solutions that help operators make decisions from data collected in both digital and physical environments. You’ll take projects from early experiments and demonstrations through production, balancing model quality and algorithmic efficiency while considering the full path from raw signals to user-facing insights. The position is remote within the US and Canada.

Responsibilities

• Investigate approaches using computer vision, audio processing, and large language models to address practical problems.
• Turn proof-of-concept and demo systems into production implementations suitable for resource-constrained environments.
• Lead work end to end, from understanding input signals and data through to dashboards, analysis, and actionable outputs.
• Develop solutions that account for hardware, compute, physical-world, and model limitations.
• Explain technical work clearly to teammates and internal or external stakeholders.

Requirements

• Strong Python skills and experience with common machine learning libraries.
• Prior experience solving computer vision and audio-processing problems.
• Comfort using Linux and Bash, including running code and models on physical machines.
• Proficiency with SQL and working with data; experience analyzing data and drawing conclusions.
• Clear communication skills and familiarity with AI development tools.

Nice to have

• Applied machine learning research experience.
• Familiarity with Airflow or other data-processing pipelines and with software development lifecycles.
• Experience with AWS or another cloud platform, and with remote computer systems.