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LLM Research Engineer IV

DGN Technologies

Mountain View, California • Yesterday

Easy Apply

Contract, Third Party

$131 - $131

LLM Research Engineer

FocusKPI

Mountain View, California • Today

Full-time

Compensation information provided in the description

LLM Post-training Engineer Intern (Research & Product) - 2027 Summer

TikTok

San Jose, California • Today

Full-time

USD 45.00 - 45.00 per hour

Multimodal LLMs Research Engineer

Apple, Inc.

Sunnyvale, California • Today

Full-time

Backend Node.js Engineer - AI/LLM Integration

Randstad Digital

Sunnyvale, California • Today

Contract

USD65 - USD70

AI Research Scientist, Reinforcement Learning (LLM) and Post-Training

AMD (Advanced Micro Devices)

Santa Clara, California • Today

Full-time

USD 178,500.00 per year

Applied LLM Research Engineer, Input Experience

Apple, Inc.

Cupertino, California • Today

Full-time

LLM Machine Learning Engineer, Models and Agent Science, AIML

Apple, Inc.

Cupertino, California • Today

Full-time

Machine Learning Engineer, LLM Post-Training

NewsBreak

Mountain View, California • Today

Full-time

USD 150,000.00 - 230,000.00 per year

Machine Learning Engineer - AI Evaluation & LLM Systems

Apple, Inc.

Cupertino, California • Today

Full-time

AIML - Senior ML Research Engineer, AFM Safety

Apple, Inc.

Cupertino, California • Today

Full-time

Senior Staff Research Engineer - Reinforcement Learning for AI Agents

XPENG

Santa Clara, California • Today

Full-time

USD 244,140.00 - 413,160.00 per year

Research Engineer Graduate (Agentic Arch) - 2027 Start (PhD)

TikTok

San Jose, California • Today

Full-time

USD 128,000.00 - 316,800.00 per year

AI Research Engineer - Agentic AI

Bosch

Sunnyvale, California • Today

Full-time

USD 165,000.00 - 180,000.00 per year

Research Engineer Intern (Agentic Systems & AI Infrastructure - TikTok-Generalized Arch) - 2027 Start (PhD)

TikTok

San Jose, California • Today

Full-time

USD 60.00 - 60.00 per hour

Research Engineer Intern (Monetization Technology - Business Integrity) - 2027 Summer

TikTok

San Jose, California • Today

Full-time

USD 45.00 - 45.00 per hour

Research Engineer Graduate (Monetization Technology - Business Integrity) - 2027 Start (PhD)

TikTok

San Jose, California • Today

Full-time

USD 162,000.00 - 316,800.00 per year

Research Engineer Graduate (Monetization Technology - Business Integrity) - 2027 Start

TikTok

San Jose, California • Today

Full-time

USD 128,000.00 - 256,000.00 per year

Research Engineer Intern (Monetization Technology - Business Integrity) - 2027 Start (PhD)

TikTok

San Jose, California • Today

Full-time

USD 60.00 - 60.00 per hour

API LLM Integration / ReactJS Engineer - Hybrid

NTT DATA, Inc.

Santa Clara, California • Today

Full-time

USD 87,952.00 - 203,954.00 per year

LLM Platform Engineer

Whatnot

Remote or San Francisco, California • Today

Full-time

USD 245,000.00 - 345,000.00 per year

ML Research Engineer

Apple, Inc.

Cupertino, California • Today

Full-time

Staff Machine Learning Engineer, Applied Research

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 189,308.00 - 389,753.00 per year

Staff Research Engineer, Autonomy VLM

Rivian

Palo Alto, California • Today

Full-time

Compensation information provided in the description

Research Engineer, AI

Biohub

Redwood City, California • Today

Full-time

USD 214,000.00 - 375,000.00 per year

Senior Software Engineer - LLM?Driven Release & Triage Tooling

Woven Planet

Palo Alto, California • Today

Full-time

USD 115,500.00 - 189,750.00 per year

AIML - ML Prototyping Engineer, Machine Learning Research

Apple, Inc.

Cupertino, California • Today

Full-time

Machine Learning Research Engineer, Input Experience, Apple Intelligence

Apple, Inc.

Cupertino, California • Today

Full-time

3D Computer Vision Research Engineer, Apple Maps

Apple, Inc.

Cupertino, California • Today

Full-time

ML Systems Research Engineer, RL / Inference / Agent Systems

AMD (Advanced Micro Devices)

Santa Clara, California • Today

Full-time

USD 178,500.00 per year

Job Details

Skills

EVALUATION PIPELINE DEVELOPMENT
LARGE LANGUAGE MODEL FINE-TUNING
NATURAL LANGUAGE PROCESSING
MACHINE LEARNING
LLM APPLICATION DEVELOPMENT
TENSORFLOW
LATENCY REDUCTION
MEMORY FOOTPRINT REDUCTION
INFERENCE TIME REDUCTION
MLOPS
DOCKER
KUBERNETES
CLOUD DEPLOYMENT
JAX
TRANSFORMER-BASED MODELS
ACCURACY MEASUREMENT
BLEU SCORE MEASUREMENT
F1 SCORE MEASUREMENT
ROBUSTNESS TESTING
LARGE LANGUAGE MODEL DESIGN
LARGE LANGUAGE MODEL TRAINING
TRANSFORMER ARCHITECTURES
MULTI-MODAL MODELS
EMERGENT AI BEHAVIORS
TEXT DATASET COLLECTION
TEXT DATASET CLEANING
TEXT DATASET PREPROCESSING
DATA AUGMENTATION
ETHICAL AI STANDARDS
MODEL ARCHITECTURE OPTIMIZATION
A/B TESTING
GENERATIVE AI ADVANCEMENTS
RESEARCH PAPER CONTRIBUTION
PATENT CONTRIBUTION
OPEN-SOURCE PROJECT CONTRIBUTION
CONFERENCE PRESENTATIONS
INTERNAL KNOWLEDGE-SHARING SESSIONS
DEEP LEARNING FRAMEWORKS
PYTORCH

EVALUATION PIPELINE DEVELOPMENT
LARGE LANGUAGE MODEL FINE-TUNING
NATURAL LANGUAGE PROCESSING
MACHINE LEARNING
LLM APPLICATION DEVELOPMENT
TENSORFLOW
LATENCY REDUCTION
MEMORY FOOTPRINT REDUCTION
INFERENCE TIME REDUCTION
MLOPS
DOCKER
KUBERNETES
CLOUD DEPLOYMENT
JAX
TRANSFORMER-BASED MODELS
ACCURACY MEASUREMENT
BLEU SCORE MEASUREMENT
F1 SCORE MEASUREMENT
ROBUSTNESS TESTING
LARGE LANGUAGE MODEL DESIGN
LARGE LANGUAGE MODEL TRAINING
TRANSFORMER ARCHITECTURES
MULTI-MODAL MODELS
EMERGENT AI BEHAVIORS
TEXT DATASET COLLECTION
TEXT DATASET CLEANING
TEXT DATASET PREPROCESSING
DATA AUGMENTATION
ETHICAL AI STANDARDS
MODEL ARCHITECTURE OPTIMIZATION
A/B TESTING
GENERATIVE AI ADVANCEMENTS
RESEARCH PAPER CONTRIBUTION
PATENT CONTRIBUTION
OPEN-SOURCE PROJECT CONTRIBUTION
CONFERENCE PRESENTATIONS
INTERNAL KNOWLEDGE-SHARING SESSIONS
DEEP LEARNING FRAMEWORKS
PYTORCH

Summary

Duties:

Key Responsibilities:

Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications.
Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance.
Explore advancements in transformer architectures, multi-modal models, and emergent AI behaviors.
Collect, clean, and preprocess large-scale text datasets from diverse sources.
Develop and implement data augmentation techniques to improve training data quality.
Ensure data is free from bias and aligned with ethical AI standards.
Optimize model architecture to improve accuracy, efficiency, and scalability.
Implement techniques to reduce latency, memory footprint, and inference time for real-time applications.
Collaborate with MLOps teams to deploy LLMs into production environments using Docker, Kubernetes, and cloud
Develop robust evaluation pipelines to measure model performance using key metrics like accuracy, perplexity, BLEU, and F1 score.
Continuously test for bias, fairness, and robustness of language models across diverse datasets.
Conduct A/B testing to evaluate model improvements in real-world applications.
Stay updated with the latest advancements in generative AI, transformers, and NLP research.
Contribute to research papers, patents, and open-source projects.
Present findings and insights at conferences and internal knowledge-sharing sessions.

Skills:

Qualifications:

Masters degree with a minimum of 3+ years experience post graduation or
Bachelors degree with a minimum of 5+ years experience post graduation
Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong programming skills.
Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
Hands-on experience with transformer-based models (e.g., GPT, BERT, RoBERTa, LLaMA).
Expertise in natural language processing (NLP) and sequence-to-sequence models.
Familiarity with Hugging Face libraries and OpenAI APIs.
Experience with MLOps tools like Docker, Kubernetes, and CI/CD pipelines.
Strong understanding of distributed computing and GPU acceleration using CUDA.
Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback).

Education:

Masters degree with a minimum of 3+ years experience post graduation or
Bachelors degree with a minimum of 5+ years experience post graduation
Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Languages:

English

Read

Write

Speak

Required

EVALUATION PIPELINE DEVELOPMENT
LARGE LANGUAGE MODEL FINE-TUNING
NATURAL LANGUAGE PROCESSING
MACHINE LEARNING
LLM Application Development

Additional

TENSORFLOW
LATENCY REDUCTION
MEMORY FOOTPRINT REDUCTION
INFERENCE TIME REDUCTION
MLOPS
DOCKER
KUBERNETES
CLOUD DEPLOYMENT
JAX
TRANSFORMER-BASED MODELS
ACCURACY MEASUREMENT
BLEU SCORE MEASUREMENT
F1 SCORE MEASUREMENT
ROBUSTNESS TESTING
LARGE LANGUAGE MODEL DESIGN
LARGE LANGUAGE MODEL TRAINING
TRANSFORMER ARCHITECTURES
MULTI-MODAL MODELS
EMERGENT AI BEHAVIORS
TEXT DATASET COLLECTION
TEXT DATASET CLEANING
TEXT DATASET PREPROCESSING
DATA AUGMENTATION
ETHICAL AI STANDARDS
MODEL ARCHITECTURE OPTIMIZATION
A/B TESTING
GENERATIVE AI ADVANCEMENTS
RESEARCH PAPER CONTRIBUTION
PATENT CONTRIBUTION
OPEN-SOURCE PROJECT CONTRIBUTION
CONFERENCE PRESENTATIONS
INTERNAL KNOWLEDGE-SHARING SESSIONS
DEEP LEARNING FRAMEWORKS
PYTORCH

Languages:

English( Speak, Read, Write )

Minimum Degree Required:

Bachelor's Degree

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: 10110849
Position Id: 1739-10990-1786128839
Posted 1 day ago

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Similar Jobs

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LLM Post-training Engineer Intern (Research & Product) - 2027 Summer

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Machine Learning Engineer, LLM Post-Training

Mountain View, California

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About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business le

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USD 150,000.00 - 230,000.00 per year

Job Details

Skills

EVALUATION PIPELINE DEVELOPMENT
LARGE LANGUAGE MODEL FINE-TUNING
NATURAL LANGUAGE PROCESSING
MACHINE LEARNING
LLM APPLICATION DEVELOPMENT
TENSORFLOW
LATENCY REDUCTION
MEMORY FOOTPRINT REDUCTION
INFERENCE TIME REDUCTION
MLOPS
DOCKER
KUBERNETES
CLOUD DEPLOYMENT
JAX
TRANSFORMER-BASED MODELS
ACCURACY MEASUREMENT
BLEU SCORE MEASUREMENT
F1 SCORE MEASUREMENT
ROBUSTNESS TESTING
LARGE LANGUAGE MODEL DESIGN
LARGE LANGUAGE MODEL TRAINING
TRANSFORMER ARCHITECTURES
MULTI-MODAL MODELS
EMERGENT AI BEHAVIORS
TEXT DATASET COLLECTION
TEXT DATASET CLEANING
TEXT DATASET PREPROCESSING
DATA AUGMENTATION
ETHICAL AI STANDARDS
MODEL ARCHITECTURE OPTIMIZATION
A/B TESTING
GENERATIVE AI ADVANCEMENTS
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PATENT CONTRIBUTION
OPEN-SOURCE PROJECT CONTRIBUTION
CONFERENCE PRESENTATIONS
INTERNAL KNOWLEDGE-SHARING SESSIONS
DEEP LEARNING FRAMEWORKS
PYTORCH

EVALUATION PIPELINE DEVELOPMENT
LARGE LANGUAGE MODEL FINE-TUNING
NATURAL LANGUAGE PROCESSING
MACHINE LEARNING
LLM APPLICATION DEVELOPMENT
TENSORFLOW
LATENCY REDUCTION
MEMORY FOOTPRINT REDUCTION
INFERENCE TIME REDUCTION
MLOPS
DOCKER
KUBERNETES
CLOUD DEPLOYMENT
JAX
TRANSFORMER-BASED MODELS
ACCURACY MEASUREMENT
BLEU SCORE MEASUREMENT
F1 SCORE MEASUREMENT
ROBUSTNESS TESTING
LARGE LANGUAGE MODEL DESIGN
LARGE LANGUAGE MODEL TRAINING
TRANSFORMER ARCHITECTURES
MULTI-MODAL MODELS
EMERGENT AI BEHAVIORS
TEXT DATASET COLLECTION
TEXT DATASET CLEANING
TEXT DATASET PREPROCESSING
DATA AUGMENTATION
ETHICAL AI STANDARDS
MODEL ARCHITECTURE OPTIMIZATION
A/B TESTING
GENERATIVE AI ADVANCEMENTS
RESEARCH PAPER CONTRIBUTION
PATENT CONTRIBUTION
OPEN-SOURCE PROJECT CONTRIBUTION
CONFERENCE PRESENTATIONS
INTERNAL KNOWLEDGE-SHARING SESSIONS
DEEP LEARNING FRAMEWORKS
PYTORCH

Summary

Duties:

Key Responsibilities:

Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications.
Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance.
Explore advancements in transformer architectures, multi-modal models, and emergent AI behaviors.
Collect, clean, and preprocess large-scale text datasets from diverse sources.
Develop and implement data augmentation techniques to improve training data quality.
Ensure data is free from bias and aligned with ethical AI standards.
Optimize model architecture to improve accuracy, efficiency, and scalability.
Implement techniques to reduce latency, memory footprint, and inference time for real-time applications.
Collaborate with MLOps teams to deploy LLMs into production environments using Docker, Kubernetes, and cloud
Develop robust evaluation pipelines to measure model performance using key metrics like accuracy, perplexity, BLEU, and F1 score.
Continuously test for bias, fairness, and robustness of language models across diverse datasets.
Conduct A/B testing to evaluate model improvements in real-world applications.
Stay updated with the latest advancements in generative AI, transformers, and NLP research.
Contribute to research papers, patents, and open-source projects.
Present findings and insights at conferences and internal knowledge-sharing sessions.

Skills:

Qualifications:

Masters degree with a minimum of 3+ years experience post graduation or
Bachelors degree with a minimum of 5+ years experience post graduation
Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong programming skills.
Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
Hands-on experience with transformer-based models (e.g., GPT, BERT, RoBERTa, LLaMA).
Expertise in natural language processing (NLP) and sequence-to-sequence models.
Familiarity with Hugging Face libraries and OpenAI APIs.
Experience with MLOps tools like Docker, Kubernetes, and CI/CD pipelines.
Strong understanding of distributed computing and GPU acceleration using CUDA.
Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback).

Education:

Masters degree with a minimum of 3+ years experience post graduation or
Bachelors degree with a minimum of 5+ years experience post graduation
Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Languages:

English

Read

Write

Speak

Required

EVALUATION PIPELINE DEVELOPMENT
LARGE LANGUAGE MODEL FINE-TUNING
NATURAL LANGUAGE PROCESSING
MACHINE LEARNING
LLM Application Development

Additional

TENSORFLOW
LATENCY REDUCTION
MEMORY FOOTPRINT REDUCTION
INFERENCE TIME REDUCTION
MLOPS
DOCKER
KUBERNETES
CLOUD DEPLOYMENT
JAX
TRANSFORMER-BASED MODELS
ACCURACY MEASUREMENT
BLEU SCORE MEASUREMENT
F1 SCORE MEASUREMENT
ROBUSTNESS TESTING
LARGE LANGUAGE MODEL DESIGN
LARGE LANGUAGE MODEL TRAINING
TRANSFORMER ARCHITECTURES
MULTI-MODAL MODELS
EMERGENT AI BEHAVIORS
TEXT DATASET COLLECTION
TEXT DATASET CLEANING
TEXT DATASET PREPROCESSING
DATA AUGMENTATION
ETHICAL AI STANDARDS
MODEL ARCHITECTURE OPTIMIZATION
A/B TESTING
GENERATIVE AI ADVANCEMENTS
RESEARCH PAPER CONTRIBUTION
PATENT CONTRIBUTION
OPEN-SOURCE PROJECT CONTRIBUTION
CONFERENCE PRESENTATIONS
INTERNAL KNOWLEDGE-SHARING SESSIONS
DEEP LEARNING FRAMEWORKS
PYTORCH

Languages:

English( Speak, Read, Write )

Minimum Degree Required:

Bachelor's Degree

Dice Id: 10110849
Position Id: 1739-10990-1786128839
Posted 1 day ago

Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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Compensation information provided in the description

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