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180 results (12 new)

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Principle ML Engineer

Photon

Remote or Dallas, Texas • Today

Easy Apply

Full-time

100,000 - 110,000

Python AI/ML Engineer (ONLY W2)

Tekfortune Inc.

Irving, Texas • Today

Easy Apply

Contract

Depends on Experience

Embedded ML Engineer

Ztek Consulting

Irving, Texas • 12d ago

Easy Apply

Contract

Depends on Experience

Principal Engineer - AI/ML Engineer

Verizon

Irving, Texas • Today

Full-time

USD 120,500.00 - 231,000.00 per year

ML Engineer

AgreeYa Solutions

Plano, Texas • Today

Easy Apply

Contract

Depends on Experience

Sr. AI/ML Engineer - Remote

UnitedHealth Group

Remote or Richardson, Texas • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior Python AI/ML Engineer

Kforce Technology Staffing

Coppell, Texas • Today

Contract, Third Party

$58 - $68 hourly

Lead ML/AI Engineer

Toyota Motor North America

Plano, Texas • Today

Full-time

Lead Software Engineer - Java / Python / AWS / AI/ML

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

AI/ML Engineer Principal

QUANTUM TECHNOLOGIES LLC

Dallas, Texas • Today

Easy Apply

Full-time

85 - 90

ML Engineer

LOGICEXCELL LLC

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

ML Engineer

Promantus, Inc

Plano, Texas • 24d ago

Easy Apply

Contract

Depends on Experience

Senior ML Engineer

Grid Dynamics Holdings, Inc

Remote • Today

Full-time

Principal Machine Learning Engineer

Thrive Market

Remote or Los Angeles, California • Today

Full-time

USD 175,000.00 - 250,000.00 per year

Principal ML System Engineer

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Lead AL/ML Engineer

Wilcore Technologies Inc.

Remote • 3d ago

Easy Apply

Full-time

160,000 - 170,000

Principal Machine Learning System Engineer

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 236,700.00 - 309,025.00 per year

ML Ops Engineer

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 98,614.00 - 167,644.00 per year

Principal Machine Learning Engineer

HubSpot

Remote • 7d ago

Full-time

USD 285,800.00 - 457,300.00 per year

Principal Machine Learning Engineer

Vail Resorts

Remote • Today

Full-time

USD 140,000.00 - 185,000.00 per year

ML Engineer

ConnectedX, Inc.

Hybrid in Plano, Texas • 14d ago

Easy Apply

Contract, Third Party

40 - 60

Principal Machine Learning Engineer

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Gen AI/ML Engineer - Entry Level

NET2ASPIRE LLC

Remote • 7d ago

Easy Apply

Contract

33 - 40

ML Engineer (R37)

Remote • Today

Full-time

USD 140,000.00 - 200,000.00 per year

Principal Machine Learning Engineer

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Staff Machine Learning Engineer, Recommendations

ZipRecruiter

Remote or Santa Monica, California • Today

Full-time

USD 205,000.00 - 265,000.00 per year

ML Engineer II

Press Ganey Associates Inc

Remote • Today

Full-time

USD 110,000.00 - 130,000.00 per year

AI/ML Engineer

Pristinno Technology LLC

Remote • Yesterday

Easy Apply

Full-time

Depends on Experience

ML Ops Engineer (REMOTE :: W2 ONLY)

VAAM Technologies

Remote or Texas • Today

Easy Apply

Full-time, Contract

Lead ML Engineer - Mapping

May Mobility

Remote • Today

Full-time

USD 225,000.00 - 275,000.00 per year

Job Details

Skills

GenAI
LLM
ML
RAG

Summary

Responsibilities:

Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights.
Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences.
Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions.
Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions.
Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge.
Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics.
A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models.
Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences.
Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction.
Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance.

A lot about YOU

Educational Background: You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies.
Technical Skills: Proficient in programming languages such as Python or Java and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude.
AI Skills: Advanced AI skills, including experience with AI development tools and frameworks.
Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex problems using data-driven approaches.
Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality solutions.
Passion for Innovation: You are enthusiastic about leveraging AI/ML to drive innovation and enhance user experiences across the broader ecosystem.
Attention to Detail: You maintain high standards for code quality and are committed to delivering robust, scalable solutions.
Continuous Learning: You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services.

Qualifications

Educational Requirement: Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus.
Experience: 8+ years of experience in machine learning, data analysis, or a related field.
Technical Proficiency: Expertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude.
Data and Infrastructure: Proficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML).
Generative AI and Optimization: Hands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations.
Observability and Feedback: Familiar with observability, telemetry, and user feedback loops for product improvement.
Algorithm Knowledge: Solid understanding of machine learning algorithms, natural language processing, and data mining techniques.
Problem-Solving Skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions.
Collaboration Skills: Ability to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams.
Communication Skills: Strong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders.
Continuous Improvement: Eagerness to learn and adapt to new technologies and methodologies in the AI/ML domain.

Preferred Qualifications

Mail Experience: Prior experience working with email systems or related technologies is a plus.
Personal Attributes: Self-driven and detail-oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively.
Cloud Experience: Experience with public cloud platforms, especially Google Cloud Platform (Google Cloud Platform), is preferred.

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: 10462843
Position Id: 9115845
Posted 4 hours ago

Fitment

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Roja Anjanareddy

Recruiter @ Photon

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Job Details

Skills

GenAI
LLM
ML
RAG

Summary

Responsibilities:

Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights.
Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences.
Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions.
Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions.
Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge.
Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics.
A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models.
Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences.
Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction.
Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance.

A lot about YOU

Educational Background: You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies.
Technical Skills: Proficient in programming languages such as Python or Java and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude.
AI Skills: Advanced AI skills, including experience with AI development tools and frameworks.
Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex problems using data-driven approaches.
Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality solutions.
Passion for Innovation: You are enthusiastic about leveraging AI/ML to drive innovation and enhance user experiences across the broader ecosystem.
Attention to Detail: You maintain high standards for code quality and are committed to delivering robust, scalable solutions.
Continuous Learning: You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services.

Qualifications

Educational Requirement: Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus.
Experience: 8+ years of experience in machine learning, data analysis, or a related field.
Technical Proficiency: Expertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude.
Data and Infrastructure: Proficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML).
Generative AI and Optimization: Hands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations.
Observability and Feedback: Familiar with observability, telemetry, and user feedback loops for product improvement.
Algorithm Knowledge: Solid understanding of machine learning algorithms, natural language processing, and data mining techniques.
Problem-Solving Skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions.
Collaboration Skills: Ability to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams.
Communication Skills: Strong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders.
Continuous Improvement: Eagerness to learn and adapt to new technologies and methodologies in the AI/ML domain.

Preferred Qualifications

Mail Experience: Prior experience working with email systems or related technologies is a plus.
Personal Attributes: Self-driven and detail-oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively.
Cloud Experience: Experience with public cloud platforms, especially Google Cloud Platform (Google Cloud Platform), is preferred.

Dice Id: 10462843
Position Id: 9115845
Posted 4 hours ago

Fitment