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Applied ML Scientist/Engineer

The Intersect Group

Remote • Today

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 • 3d ago

Full-time

USD 96,130.00 - 155,950.00 per year

Applied AI/ML Engineer / Data Scientist

Apex Systems

Juno Beach, Florida • Today

Easy Apply

Full-time

$80 - $106 per hour

Staff Applied AI/ML Scientist

Faire

San Francisco, California • Today

Full-time

USD 246,500.00 - 339,000.00 per year

Principal Applied AI/ML Scientist

lululemon athletica

Seattle, Washington • Today

Full-time

USD 266,720.00 - 350,070.00 per year

Lead AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 154,900.00 - 193,600.00 per year

Machine Learning Engineer II (Applied Research & Model Development)

PathAI

Remote or Boston, New York • Today

Full-time

USD 107,250.00 - 177,000.00 per year

Lead AI Applied ML Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Senior Applied AI ML Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Applied ML Engineer

Macroscope

San Francisco, California • Today

Full-time

USD 170,000.00 - 280,000.00 per year

Applied Machine Learning Engineer - Localization

Apple, Inc.

Cupertino, California • Today

Full-time

Applied Machine Learning Engineer

Fireworks AI

New York, New York • Today

Full-time

USD 170,000.00 - 240,000.00 per year

Software Engineer (SE / Sr SE), Applied ML & Data Mining

PlusAI

Santa Clara, California • Today

Full-time

USD 130,000.00 - 220,000.00 per year

Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems

Block, Inc

San Francisco, California • 10d ago

Full-time

USD 276,800.00 - 415,200.00 per year

Lead Applied AI & Machine Learning Engineer

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Staff Applied ML Engineer, Federal/National Security

Red Cell Partners

Remote or Washington • Today

Full-time

USD 180,000.00 - 240,000.00 per year

Machine Learning Engineer, Applied Research

Whatnot

New York, New York • Today

Full-time

USD 207,000.00 - 290,000.00 per year

Applied AI/ML Software Engineer

Apple, Inc.

San Diego, California • Today

Full-time

Senior Engineer - Applied ML/AI Algorithms R&D for Advanced Patient Monitoring

Becton Dickinson & Company

Irvine, California • Today

Full-time

USD 105,500.00 - 168,800.00 per year

Principal Engineer - Applied ML/AI Algorithms R&D for Advanced Patient Monitoring

Becton Dickinson & Company

Irvine, California • Today

Full-time

USD 129,600.00 - 207,400.00 per year

Applied Machine Learning Engineer Senior Consultant II (Software Engineering Focus)

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 120,000.00 - 193,725.00 per year

Applied Machine Learning Engineer Senior Consultant II (Software Engineering Focus)

Allstate Insurance Company

Chicago, Illinois • 2d ago

Full-time

USD 120,000.00 - 193,725.00 per year

Senior Machine Learning Engineer, Applied Science Data Frameworks

Adobe Systems

San Jose, California • Today

Full-time

USD 151,800.00 - 265,350.00 per year

Sr Manager, Applied Field Engineering - AI/ML

Snowflake Inc.

Menlo Park, California • Today

Full-time

USD 207,000.00 - 271,688.00 per year

Applied AI ML Director

JPMorgan Chase & Co.

Seattle, Washington • Today

Full-time

USD 223,000.00 - 325,000.00 per year

Applied AI/ML Lead

JPMorgan Chase & Co.

Tampa, Florida • Today

Full-time

Applied AI/ML Lead

JPMorgan Chase & Co.

Columbus, Ohio • Today

Full-time

Senior Machine Learning Engineer, Applied Intelligence

Anduril Industries

Santa Ana, California • Today

Full-time

USD 220,000.00 - 292,000.00 per year

Applied AI/ML Lead

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Applied AI/ML Lead

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Job Details

Skills

Summary

Applied ML Scientist
FTE, Fully Remote(Must reside in EST or CST timezone)
Phd Required
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 (Google Cloud Platform) 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 strongly preferred.
Cloud Platform Mastery: Demonstrated expertise building and deploying machine learning solutions specifically on Google Cloud Platform 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 3 hours ago

Fitment

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Sam McBee

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.
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 (Google Cloud Platform) 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 strongly preferred.
Cloud Platform Mastery: Demonstrated expertise building and deploying machine learning solutions specifically on Google Cloud Platform 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.

Dice Id: 10286200
Position Id: 250858
Posted 3 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Sam McBee

Recruiter @ The Intersect Group

View Profile

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