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Applied ML Scientist/Engineer

The Intersect Group

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Applied Machine Learning Scientist II (AI/ML - Model Validation, GenAI & Agentic AI)

TD Bank Group

New York, New York • 30+d ago

Full-time

USD 96,130.00 - 155,950.00 per year

AI/ML Engineer / AI Applied Scientist

KONNECTINGTREE INC

Minnesota City, Minnesota • 2d ago

Easy Apply

Contract

Senior Machine Learning Engineer - Applied Scientist

Microsoft Corporation

Redmond, Washington • Today

Full-time

USD 119,800.00 - 234,700.00 per year

Senior Data Scientist - Applied ML

Justworks

New York, New York • Today

Full-time

USD 166,000.00 - 214,000.00 per year

Principal Applied Scientist, Prime AI/ML Science

Amazon.com Services LLC

Seattle, Washington • 3d ago

Full-time

USD 198,900.00 - 269,000.00 per year

Senior Applied AI/ML Scientist - Search Ranking

Faire

San Francisco, California • Today

Full-time

USD 211,000.00 - 290,500.00 per year

Data Scientist II, Applied ML

Brex

San Francisco, California • 8d ago

Full-time

USD 152,000.00 - 190,000.00 per year

Data Scientist II, Applied ML

Brex

San Francisco, California • Today

Full-time

USD 152,000.00 - 190,000.00 per year

Principal Applied AI/ML Scientist

lululemon athletica

Seattle, Washington • Today

Full-time

USD 266,720.00 - 350,070.00 per year

Principal, Data Scientist - Applied Machine Learning

Walmart Inc.

San Francisco, California • Today

Full-time

USD 143,000.00 - 286,000.00 per year

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Senior Applied Scientist - AI/ML Calibration & Optimization

KLA

Milpitas, California • Today

Full-time

USD 136,300.00 - 231,700.00 per year

Applied Machine Learning (ML) Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home - M

Next Step Systems

Remote • 2d ago

Easy Apply

Full-time

120000 - 160000

Sr Applied Data Scientist - 1:1 Personalization, Audience and Experimentation (applied ML, PyToch, A/B testing)

Target Corporation

Brooklyn Park, Minnesota • Today

Full-time

USD 98,000.00 - 176,000.00 per year

Lead AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 154,900.00 - 193,600.00 per year

Staff Applied AI/ML Scientist

Faire

San Francisco, California • Today

Full-time

USD 246,500.00 - 339,000.00 per year

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

Missouri • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

Virginia • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

Mississippi • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

South Carolina • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

Illinois • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

New Hampshire • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

Iowa • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

Texas • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

Maryland • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

Michigan • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

North Carolina • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

Kentucky • 16d ago

Full-time

Senior Applied AI-Machine Learning Engineer

Atlas Technologies Inc

Florida • 16d ago

Full-time

Job Details

Skills

Summary

Applied ML Scientist
FTE, Fully Remote(Must reside in EST or CST timezone)

Company Overview
Our client is a market-leading enterprise operating a substantial national footprint. Driven by a mission of customer-first service and operational excellence, the organization leverages modern technology and data science to power high-impact business decisions at massive scale. Joining this team means contributing to a forward-thinking environment where practical AI solutions directly influence real-world customer and operational outcomes.
Role Summary
The Intersect Group is seeking an Applied ML Scientist to serve as a key individual contributor within our client’s AI and Data team. In this role, you will design, train, and deploy advanced machine learning models that address complex operational and business challenges across multiple business units and operational channels.
You will translate ambiguous business problems into scalable statistical models, evaluate their performance against real-world metrics, and ensure seamless handoffs to engineering teams for production deployment. This position focuses heavily on developing traditional machine learning models (such as XGBoost) and cloud-based AI solutions, with additional opportunities to drive computer vision initiatives.
Key Responsibilities

Design & Model Development: Build, train, and validate supervised and unsupervised machine learning models using appropriate algorithms and rigorous cross-validation techniques.
Feature Engineering & EDA: Conduct comprehensive exploratory data analysis, data cleaning, and feature engineering on complex tabular datasets using SQL and Python.
Cloud Architecture & Deployment: Leverage Google Cloud Platform (GCP) and Vertex AI to build end-to-end ML solutions optimized for production environments.
Cross-Functional Collaboration: Work alongside ML Product Managers and ML Systems Engineers to align models with business objectives and meet latency, memory, and scalability standards.
Documentation & Governance: Maintain detailed model registries, technical runbooks, architecture diagrams, and performance benchmarks to ensure reproducible workflows.
Applied Vision & Innovation: Explore and apply computer vision frameworks (e.g., PyTorch, OpenCV, YOLO, Vision Transformers) to improve operational execution, object detection, and visual tracking where applicable.

Key Requirements

Experience & Education: 2–4+ years of hands-on experience in applied machine learning or data science roles in production environments; a PhD in Data Science, Computer Science, Statistics, or a related quantitative field is preferred.
Cloud Platform Mastery: Demonstrated expertise building and deploying machine learning solutions specifically on GCP Cloud (Vertex AI).
Core ML Expertise: Deep proficiency in Python and traditional, tree-based machine learning models, with extensive experience in XGBoost, LightGBM, and scikit-learn.
Data & Tooling Stack: Advanced proficiency with SQL, pandas, NumPy, and experiment tracking tools such as MLflow or Weights & Biases.
Domain Knowledge: Strong background working with tabular data in retail, supply chain, e-commerce, or consumer analytics contexts.
Computer Vision Skills (Bonus): Hands-on experience developing vision models using CNNs, Vision Transformers, YOLO, or Detectron2 for object detection or OCR.
Problem-Solving & Communication: Proven ability to navigate ambiguous problem spaces, articulate the technical reasoning behind model choices, and communicate complex trade-offs to non-technical stakeholders.

Ready to Take the Next Step?
If you are an experienced ML Scientist ready to make an impact on a massive scale, we want to hear from you! Please apply today by submitting your current resume and contact details to The Intersect Group.

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.

Dice Id: 10286200
Position Id: 250858
Posted 30+ days ago

Fitment

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Contact the job poster

Jared Brown

Recruiter @ The Intersect Group

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Skills

Summary

Design & Model Development: Build, train, and validate supervised and unsupervised machine learning models using appropriate algorithms and rigorous cross-validation techniques.
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Applied Vision & Innovation: Explore and apply computer vision frameworks (e.g., PyTorch, OpenCV, YOLO, Vision Transformers) to improve operational execution, object detection, and visual tracking where applicable.

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Dice Id: 10286200
Position Id: 250858
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Fitment