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Fulltime :: Senior Data Scientist / ML Engineer :: San Jose, CA (Onsite)

TESTINGXPERTS, INC. DBA DAMCOSOFT

San Jose, California • Today

Easy Apply

Full-time

Machine Learning Engineer, Level 4

Snapchat

Palo Alto, California • Today

Full-time

USD 173,000.00 - 259,000.00 per year

Machine Learning Engineer, Level 5

Snapchat

Palo Alto, California • Today

Full-time

USD 209,000.00 - 313,000.00 per year

Senior Machine Learning Engineer

West Coast Consulting LLC

Sunnyvale, California • Yesterday

Contract

USD 70.00 - 72.00 per hour

Machine Learning Engineer

Gatik AI

Santa Clara, California • Today

Full-time

USD 170,000.00 - 240,000.00 per year

Machine Learning Engineer

Adobe Systems

San Jose, California • Today

Full-time

USD 125,600.00 - 234,150.00 per year

Staff Machine Learning Engineer

Unity Microelectronics Inc.

Mountain View, California • Today

Full-time

USD 218,400.00 - 283,900.00 per year

Senior Machine Learning Engineer

Atlassian Inc.

Remote or Mountain View, California • Today

Full-time

USD 206,100.00 - 269,075.00 per year

ML Engineer

Rivago infotech inc

Mountain View, California • 2d ago

Easy Apply

Contract, Third Party

55 - 60

Machine Learning Engineer

Apple, Inc.

Sunnyvale, California • Today

Full-time

Staff Machine Learning Engineer

ServiceNow, Inc.

Santa Clara, California • Today

Full-time

USD 176,100.00 - 308,200.00 per year

Senior machine learning engineer

Atlassian Inc.

Remote or Mountain View, California • Today

Full-time

USD 206,100.00 - 269,075.00 per year

Machine Learning Engineer-Internship

Unity Microelectronics Inc.

Mountain View, California • Today

Full-time

USD 92,000.00 - 119,600.00 per year

Sr. Machine Learning Engineer

Unity Microelectronics Inc.

Mountain View, California • Today

Full-time

USD 178,700.00 - 232,300.00 per year

Machine Learning Engineer

Apple, Inc.

Cupertino, California • Today

Full-time

Staff Machine Learning Engineer

XPENG

Santa Clara, California • Today

Full-time

USD 179,400.00 - 303,600.00 per year

Camera Machine Learning Engineer

Apple, Inc.

Cupertino, California • Today

Full-time

Staff ML Engineer

Axiado

San Jose, California • Today

Full-time

Principal Machine Learning Engineer

PaloAlto Networks

Santa Clara, California • Today

Full-time

USD 163,200.00 - 264,000.00 per year

Machine Learning Engineer, Advanced Analytics

Apple, Inc.

Sunnyvale, California • Today

Full-time

Machine Learning Engineer - Proactive

Apple, Inc.

Cupertino, California • Today

Full-time

Principal ML Engineer

Electronic Arts

Redwood City, California • Today

Full-time

USD 204,600.00 - 287,500.00 per year

Director, Machine Learning Engineer, Content

Snapchat

Palo Alto, California • Today

Full-time

USD 334,000.00 - 500,000.00 per year

(USA) Senior, Machine Learning Engineer

Walmart Inc.

Sunnyvale, California • Today

Full-time

USD 143,000.00 - 286,000.00 per year

(USA) Principal, Machine Learning Engineer

Walmart Inc.

Sunnyvale, California • Today

Full-time

USD 169,000.00 - 338,000.00 per year

(USA) Staff, Machine Learning Engineer

Walmart Inc.

Sunnyvale, California • Today

Full-time

USD 169,000.00 - 338,000.00 per year

Senior Machine Learning Engineer

Apple, Inc.

Cupertino, California • Today

Full-time

Senior Machine Learning Engineer - AI Foundation

XPENG

Santa Clara, California • Today

Full-time

USD 174,720.00 - 295,680.00 per year

Lead Machine Learning Engineer-MLOps Vice President

JPMorgan Chase & Co.

Palo Alto, California • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Principal Machine Learning Engineer

ServiceNow, Inc.

Santa Clara, California • Today

Full-time

USD 240,100.00 - 420,200.00 per year

Job Details

Skills

Spark
hadoop
LLM
Data Scientist / ML Engineer

Summary

Summary Works directly with Client and its data to build, train and deploy next-generation LLM-based recommender systems. Works closely with the client's science team, the AWS account team and the AWS Applied Scientist leading the science. The role covers the full path from raw customer data to a deployed model.

Responsibilities:

Data to training sets: turn unstructured and structured traveler and catalog data into narrative text documents and synthetic data, at a scale of tens of millions of documents.
Feature and context engineering: decide what information goes into each document and how to express it, such as market-relative price, tier and trip context.
Large-scale distributed training on Amazon SageMaker AI, including HyperPod.
Fine-tuning: LoRA/QLoRA adapters, supervised training, and reinforcement learning for ranking and reasoning.
Deep learning modeling: model architecture, ranking heads, co-training and multi-task setups.
Inference and deployment: low-latency, cost-efficient serving, including quantization, distillation and profiling.
Evaluation and error analysis: build evaluation sets, run ablations and catch data leakage. Write up findings clearly for the customer and the AWS science team.
Data privacy: handle customer data safely, including removing per

Required skills

Spark (PySpark) and the Hadoop ecosystem (Hive, HDFS) on corpora of tens of millions of documents.

Amazon SageMaker AI: processing, training, distributed training (HyperPod), deployment.

LLM fine-tuning (LoRA/QLoRA) and reinforcement learning (e.g. GRPO/PPO-style methods).

Strong deep learning fundamentals in PyTorch: architectures, training dynamics, co-training.

Large-scale batch LLM inference and production inference (vLLM, Amazon Bedrock batch).

Data privacy and security on AWS: personal-data removal, IAM, KMS, Lake Formation.

Clear written communication with customer and science stakeholders.

Preferred skills

AWS Trainium / Inferentia (Neuron SDK).

Recommender systems: ranking metrics (NDCG, MRR), sequential and generative recommenders.

Embedding quantization or semantic IDs.

Experience in a customer-facing or embedded role

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: 10383634
Position Id: 2026-35291
Posted 6 days ago

Fitment

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San Jose, California

•

Today

Responsibilities Global E-Commerce (TikTok Shop) is one of TikTok's fastest-growing businesses and a core driver of the company's revenue growth. Our Global E-Commerce Content Recommendation team owns the end-to-end recommendation stack for e-commerce video and image-text content on TikTok worldwide - retrieval, ranking, and multi-queue blending; supply ecosystem and cold start; and the browsing-to-purchase experience for hundreds of millions of users. We believe recommendation is being rewritt

Full-time

USD 60.00 - 60.00 per hour

Data Scientist - Intelligent Experiences, MLO

Cupertino, California

•

Today

Do you believe machine learning and AI can change the world? We do. We're the ML Data team within Apple's Intelligent System Experience (ISE) group, and we build the high-quality, high-scale datasets that train the ML features across many Apple products - iPhone, iPad, Mac, Apple Watch, AirPods and the newly released HomeView. Our work sits behind some of the most visible and personal experiences Apple ships: the wallpaper on your Lock Screen, personalized stickers in iMessage, on-device Genmoji

Full-time

Machine Learning Engineer Graduate (E-Commerce Content Recommendation - Generative & Large Recommendation Model) - 2027 Start (PhD)

San Jose, California

•

Today

Responsibilities Team Introduction Global E-Commerce (TikTok Shop) is one of TikTok's fastest-growing businesses and a core driver of the company's revenue growth. Our Global E-Commerce Content Recommendation team owns the end-to-end recommendation stack for e-commerce video and image-text content on TikTok worldwide - retrieval, ranking, and multi-queue blending; supply ecosystem and cold start; and the browsing-to-purchase experience for hundreds of millions of users. We believe recommendatio

Full-time

USD 162,000.00 - 387,600.00 per year

AI Infra Engineer Intern (Recommendation & LLM) - 2027 Summer

San Jose, California

•

Today

Responsibilities About the Team We are looking for a passionate Software Engineer to join our Model Infrastructure team, building the next generation of infrastructure for TikTok's For You recommendation system and Large Language Models (LLMs). Our team develops the core training and serving infrastructure that powers one of the world's largest recommendation systems, enabling billions of personalized recommendations every day. We are also advancing the next generation of AI infrastructure for

Full-time

USD 45.00 - 45.00 per hour

Job Details

Skills

Spark
hadoop
LLM
Data Scientist / ML Engineer

Summary

Responsibilities:

Data to training sets: turn unstructured and structured traveler and catalog data into narrative text documents and synthetic data, at a scale of tens of millions of documents.
Feature and context engineering: decide what information goes into each document and how to express it, such as market-relative price, tier and trip context.
Large-scale distributed training on Amazon SageMaker AI, including HyperPod.
Fine-tuning: LoRA/QLoRA adapters, supervised training, and reinforcement learning for ranking and reasoning.
Deep learning modeling: model architecture, ranking heads, co-training and multi-task setups.
Inference and deployment: low-latency, cost-efficient serving, including quantization, distillation and profiling.
Evaluation and error analysis: build evaluation sets, run ablations and catch data leakage. Write up findings clearly for the customer and the AWS science team.
Data privacy: handle customer data safely, including removing per

Required skills

Spark (PySpark) and the Hadoop ecosystem (Hive, HDFS) on corpora of tens of millions of documents.

Amazon SageMaker AI: processing, training, distributed training (HyperPod), deployment.

LLM fine-tuning (LoRA/QLoRA) and reinforcement learning (e.g. GRPO/PPO-style methods).

Strong deep learning fundamentals in PyTorch: architectures, training dynamics, co-training.

Large-scale batch LLM inference and production inference (vLLM, Amazon Bedrock batch).

Data privacy and security on AWS: personal-data removal, IAM, KMS, Lake Formation.

Clear written communication with customer and science stakeholders.

Preferred skills

AWS Trainium / Inferentia (Neuron SDK).

Recommender systems: ranking metrics (NDCG, MRR), sequential and generative recommenders.

Embedding quantization or semantic IDs.

Experience in a customer-facing or embedded role

Dice Id: 10383634
Position Id: 2026-35291
Posted 6 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

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

San Jose, California

•

Today

Full-time

USD 60.00 - 60.00 per hour

Data Scientist - Intelligent Experiences, MLO

Cupertino, California

•

Today

Full-time

Machine Learning Engineer Graduate (E-Commerce Content Recommendation - Generative & Large Recommendation Model) - 2027 Start (PhD)

San Jose, California

•

Today

Full-time

USD 162,000.00 - 387,600.00 per year

AI Infra Engineer Intern (Recommendation & LLM) - 2027 Summer

San Jose, California

•

Today

Full-time

USD 45.00 - 45.00 per hour

Fulltime :: Senior Data Scientist / ML Engineer :: San Jose, CA (Onsite)

Skills

Summary

Dice Job Match Score™

Similar Jobs

Fulltime :: Senior Data Scientist / ML Engineer :: San Jose, CA (Onsite)

Job Details

Skills

Summary

Dice Job Match Score™

Similar Jobs