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Applied Machine Learning Engineer – Multimodal AI # 26-28180

U.S. Tech Solutions Inc.

Hybrid in New York, New York • 3d ago

Easy Apply

Contract

$80 - $85

Applied Machine Learning Engineer – Multimodal AI- #25-29883

U.S. Tech Solutions Inc.

Hybrid in New York, New York • 3d ago

Easy Apply

Contract

$65 - $70

Applied AI Scientist - Multimodal Intelligence

Apple, Inc.

Washington • Today

Full-time

Multimodal AI Applied Scientist, SIML - ISE

Apple, Inc.

Cupertino, California • Today

Full-time

AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation

Apple, Inc.

Washington • Today

Full-time

AI/ML Data Scientist

System One

McLean, Virginia • 5d ago

Easy Apply

Contract

Depends on Experience

Applied Machine Learning Research Engineer - Multimodal for Human Understanding

Apple, Inc.

Sunnyvale, California • Today

Full-time

Data Scientist AI/ML & GenAI

Radiant System, Inc

Hybrid in Clark, New Jersey • 3d ago

Easy Apply

Contract

Depends on Experience

Scientist - Machine Learning AI

Katalyst Healthcares and Lifesciences

Remote or New Jersey • 12d ago

Full-time

Scientist, Machine Learning AI

Katalyst Healthcares and Lifesciences

Remote or New Jersey • 12d ago

Full-time

AI Engineer / ML engineer /Data scientist

EdgeAll

Phoenix, Arizona • Yesterday

Easy Apply

Contract

Depends on Experience

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

AI/ML Engineer / AI Applied Scientist

KONNECTINGTREE INC

Minnesota City, Minnesota • 9d ago

Easy Apply

Contract

Senior Principal Data Scientist / AI-ML SME (Analytic Superiority)

Leidos

Fort Meade, Maryland • Today

Full-time

USD 154,050.00 - 278,475.00 per year

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 130,000.00 - 162,500.00 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

Lead AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 154,900.00 - 193,600.00 per year

Data Scientist - AI/ML Specialist

CACI International, Inc.

Fairfax, Virginia • Today

Full-time

USD 94,400.00 - 198,200.00 per year

AI/ML for Biology Scientist

Novartis

South Dakota • Today

Full-time

USD 126,000.00 - 234,000.00 per year

Senior Bioinformatics Scientist - AI/ML for Protein Engineering

Illumina, Inc.

San Diego, California • Today

Full-time

USD 129,400.00 - 194,000.00 per year

AI/ML Data Scientist - AI Vector Search & Agentic AI Platforms

Red Arch Solutions

Reston, Virginia • Today

Full-time

USD 180,000.00 - 220,000.00 per year

AI/ML Data Scientist - AI, Vector Search & Agentic AI Platforms

Red Arch Solutions

Reston, Virginia • Today

Full-time

USD 220,000.00 - 250,000.00 per year

Scientist I - ML/AI Foundational Models for Synthetic Enhancer Design

The Allen Institute for Brain Science

Seattle, Washington • 23d ago

Full-time

USD 87,450.00 - 108,250.00 per year

Scientist I - ML/AI Regulatory Genomics and Cell Type-Targeted Tools for Brain Health

The Allen Institute for Brain Science

Seattle, Washington • 23d ago

Full-time

USD 87,450.00 - 108,250.00 per year

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

Principal Applied AI/ML Scientist

lululemon athletica

Seattle, Washington • Today

Full-time

USD 266,720.00 - 350,070.00 per year

Applied AI/ML Scientist, Intern - Winter 2027

Faire

San Francisco, California • Today

Full-time

USD 75.00 per hour

Principal AI/ML Data Scientist - AI, Vector Search & Agentic AI Platforms

Red Arch Solutions

Reston, Virginia • Today

Full-time

USD 255,000.00 - 325,000.00 per year

AI/ML Engineer and Data Scientist

Booz Allen Hamilton

Riverdale Park, Maryland • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Data Scientist - AI/ML

Stanford Health Care

Palo Alto, California • Today

Full-time

Compensation information provided in the description

Job Details

Skills

MACHINE LEARNING ENGINEER
APPLIED SCIENTIST
AI ENGINEER
PYTHON
CLASSIFICATION
CONTENT CLASSIFICATION
SPAM DETECTION
LLM
GENERATIVE AI
NLP
MULTIMODAL AI
RAG
LANGCHAIN
LLAMAINDEX
RAY
FLYTE
PRODUCTION ML
MLOPS

Summary

Duration: 6 months contract

Job Description:

We are seeking a hands-on Applied Machine Learning Engineer with experience in Multimodal AI to work on the development and advancement of large-scale machine learning systems.
The role focuses on designing, developing, experimenting with, and deploying ML models that analyze and classify diverse content across text, audio, and visual data. The ideal candidate will have a strong foundation in machine learning, classification algorithms, ML research, and Python-based ML pipelines, along with experience in distributed computing frameworks such as Ray.
This is an individual contributor opportunity for an engineer who enjoys solving complex technical problems, exploring new ML approaches, and taking ownership of solutions from initial research and prototyping through evaluation and production deployment.

Responsibilities:

Design, develop, and improve machine learning models, particularly classification systems for large-scale applications.
Drive ML initiatives from research, ideation, and prototyping through experimentation, evaluation, and production deployment.
Develop and support Python-based data pipelines and workflows for ML model training, inference, and processing.
Build and evaluate multimodal machine learning solutions involving text, audio, and visual data.
Work with distributed computing and ML processing frameworks such as Ray to support scalable model development and execution.
Develop rigorous model evaluation methodologies using benchmark datasets, precision, recall, and other performance metrics.
Experiment with machine learning and deep learning techniques to improve model accuracy, reliability, and performance.
Collaborate with senior and staff engineers, data scientists, and product teams to influence technical approaches and solution design.
Explore emerging AI technologies and identify opportunities to enhance existing ML capabilities.

Experience:

Strong hands-on experience in applied machine learning and developing ML models for production environments.
Solid understanding of machine learning classification, supervised learning, algorithms, and model evaluation techniques.
Strong Python programming skills with experience in ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Practical experience developing, maintaining, or supporting data pipelines and workflows for machine learning applications.
Experience in ML research, experimentation, model benchmarking, optimization, and performance evaluation.
Exposure to or hands-on experience with multimodal machine learning systems involving text, audio, and/or visual data.
Understanding of distributed computing, parallel processing, and scalable ML execution frameworks.
Practical experience with Ray or similar distributed ML frameworks.

Skillsets:

Experience with Apache Arrow Flight or similar high-performance data-transfer technologies.
Familiarity with ML workflow orchestration tools such as Airflow, Kubeflow, Flyte, or MLflow.
Exposure to distributed ML technologies such as Dask, Horovod, or DeepSpeed.
Experience with NLP, computer vision, and multimodal learning architectures.

Education:

Bachelor's degree or relevant experience in a related field.

About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

#LI-AS140

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: usts
Position Id: 26-28180
Posted 3 days ago

Fitment

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Hybrid in New York, New York

•

3d ago

Duration: 12 months contract Position OverviewWe are seeking a hands-on Applied Machine Learning Engineer with experience in Multimodal AI to work on the development and advancement of large-scale machine learning systems.The role focuses on designing, developing, experimenting with, and deploying ML models that analyze and classify diverse content across text, audio, and visual data. The ideal candidate will have a strong foundation in machine learning, classification algorithms, ML research, a

Easy Apply

Contract

$65 - $70

AI/ML Engineer

Hybrid in New York, New York

•

17d ago

Job Title: AI / ML Engineer Job Type: Contract Location: New York, NY (Hybrid 2-day onsite) Duration: 6+ months up to 1-2 years. Description: About the position The Euler squad sits within the Enrichment & Content Intelligence product area and is focused on helping Spotify better understand audio, text, and visual content through machine learning. The team develops technologies that power experiences across Spotify including AI and spam detection, kids content classification, entity linking a

Easy Apply

Contract

80 - 90

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)

New York, New York

•

Today

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you\'ll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging

Full-time

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

New York, New York

•

Today

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you\'ll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about

Full-time

Job Details

Skills

MACHINE LEARNING ENGINEER
APPLIED SCIENTIST
AI ENGINEER
PYTHON
CLASSIFICATION
CONTENT CLASSIFICATION
SPAM DETECTION
LLM
GENERATIVE AI
NLP
MULTIMODAL AI
RAG
LANGCHAIN
LLAMAINDEX
RAY
FLYTE
PRODUCTION ML
MLOPS

Summary

Duration: 6 months contract

Job Description:

We are seeking a hands-on Applied Machine Learning Engineer with experience in Multimodal AI to work on the development and advancement of large-scale machine learning systems.
The role focuses on designing, developing, experimenting with, and deploying ML models that analyze and classify diverse content across text, audio, and visual data. The ideal candidate will have a strong foundation in machine learning, classification algorithms, ML research, and Python-based ML pipelines, along with experience in distributed computing frameworks such as Ray.
This is an individual contributor opportunity for an engineer who enjoys solving complex technical problems, exploring new ML approaches, and taking ownership of solutions from initial research and prototyping through evaluation and production deployment.

Responsibilities:

Design, develop, and improve machine learning models, particularly classification systems for large-scale applications.
Drive ML initiatives from research, ideation, and prototyping through experimentation, evaluation, and production deployment.
Develop and support Python-based data pipelines and workflows for ML model training, inference, and processing.
Build and evaluate multimodal machine learning solutions involving text, audio, and visual data.
Work with distributed computing and ML processing frameworks such as Ray to support scalable model development and execution.
Develop rigorous model evaluation methodologies using benchmark datasets, precision, recall, and other performance metrics.
Experiment with machine learning and deep learning techniques to improve model accuracy, reliability, and performance.
Collaborate with senior and staff engineers, data scientists, and product teams to influence technical approaches and solution design.
Explore emerging AI technologies and identify opportunities to enhance existing ML capabilities.

Experience:

Strong hands-on experience in applied machine learning and developing ML models for production environments.
Solid understanding of machine learning classification, supervised learning, algorithms, and model evaluation techniques.
Strong Python programming skills with experience in ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Practical experience developing, maintaining, or supporting data pipelines and workflows for machine learning applications.
Experience in ML research, experimentation, model benchmarking, optimization, and performance evaluation.
Exposure to or hands-on experience with multimodal machine learning systems involving text, audio, and/or visual data.
Understanding of distributed computing, parallel processing, and scalable ML execution frameworks.
Practical experience with Ray or similar distributed ML frameworks.

Skillsets:

Experience with Apache Arrow Flight or similar high-performance data-transfer technologies.
Familiarity with ML workflow orchestration tools such as Airflow, Kubeflow, Flyte, or MLflow.
Exposure to distributed ML technologies such as Dask, Horovod, or DeepSpeed.
Experience with NLP, computer vision, and multimodal learning architectures.

Education:

Bachelor's degree or relevant experience in a related field.

Dice Id: usts
Position Id: 26-28180
Posted 3 days 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.

Create job alert

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Hybrid in New York, New York

•

3d ago

Easy Apply

Contract

$65 - $70

AI/ML Engineer

Hybrid in New York, New York

•

17d ago

Easy Apply

Contract

80 - 90

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)

New York, New York

•

Today

Full-time

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

New York, New York

•

Today

Full-time

Applied Machine Learning Engineer – Multimodal AI # 26-28180

Skills

Summary

Dice Job Match Score™

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Applied Machine Learning Engineer – Multimodal AI # 26-28180

Job Details

Skills

Summary

Dice Job Match Score™

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