machine learning Jobs in san jose, ca

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Sr. Product Development Engineer - AI/ML Frameworks, Python

AMD (Advanced Micro Devices)

San Jose, California, USA

Full-time

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellenc

Machine Learning Engineer, E-commerce Governance Algorithms

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A122628 Apply to this job Share this listing: Responsibilities The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We aim to bring discovery, inspirat

Principal Member of Technical Staff - AI/ML Infrastructure Engineer

Oracle Corporation

Santa Clara, California, USA

Full-time

Job Description As an AI/ML Infrastructure Engineer on the GPU Strategic Customers Engineering team, you will play a critical role in designing, implementing, and maintaining the infrastructure that supports our AI and machine learning initiatives. You will work closely with data scientists, software engineers, and IT professionals to ensure that our AI/ML models are deployed efficiently, securely, and at scale. Your expertise will be crucial in optimizing our infrastructure for performance, re

Machine Learning Engineer Graduate (E-commerce Governance Algorithms) - 2025 Start (Phd)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A42279 Apply to this job Share this listing: Responsibilities Governance and Experience team of e-commerce are responsible for ensuring the safety and trustworth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passion

Software Engineer, Machine Learning Integration, Optimus

Tesla Motors

Palo Alto, California, USA

Part-time

Tesla is building robust, real-world AI through humanoid robots. As a Software Engineer within our robotics teams, you will contribute to one of the most advanced Robotics/AI Platforms in the world. You'll be responsible for integrating machine learning models with real-time systems, working across the software stack to ensure seamless communication between neural networks and hardware components. This role is ideal for engineers with strong systems-level & networking expertise, and a solid gras

Software Engineer, ML Inference Compiler & Deployment, AI Frameworks

Tesla Motors

Palo Alto, California, USA

Full-time

As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world, powering Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compi

Senior ML Research Engineer - LLM Quantization & Model Optimization

Microsoft Corporation

Mountain View, California, USA

Full-time

Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft's cloud growth? Are you seeking a unique career opportunity that combines technical capabilities, cross team collaboration, with business insight and strategy? Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. Each day we bu

Internship, Machine Learning Engineer, Energy Engineering (Fall 2025)

Tesla Motors

Palo Alto, California, USA

Full-time

Consider before submitting an application: This position is expected to start August/September 2025 and continue through the entire Fall term (i.e. through approximately December 2025) or into Winter/Spring 2026 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per wee

Sr. Software Development Engineer -AI/ML

Adobe Systems

San Jose, California, USA

Full-time

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences wher

Engineer II, Machine Learning Software

Samsung Electronics America

Mountain View, California, USA

Full-time

Position Summary Design and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions. Role and Responsibilities MULTIPLE POSITIONS AVAILABLE Company: SAMSUNG ELECTRONICS AMERICA, INC. Position Title: Engineer II, Machine Learning Software Location: Mountain View, California Job ID: SAM9441213 Position Responsibilities: Design and develop the next-generation machine learning platform to su

Machine Learning Engineer Intern (Search-TikTok.US) - 2025 Summer (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A157589A Apply to this job Share this listing: Responsibilities Team Introduction Our Search Engineering Team is responsible for building and owning TikTok's search engine which can provide our users with the best search experience. In TikTok Search Team, you'll have the opportunity to build full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NL

Software Engineer, ML Inference Compiler & Deployment, GPU, CPU

Tesla Motors

Palo Alto, California, USA

Full-time

As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world for Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compiler to

Software Engineer, ML Inference Compiler & Deployment, AI Accelerator

Tesla Motors

Palo Alto, California, USA

Full-time

As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world for Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compiler to

Manager Machine Learning, Merchandising & Content Understanding

Netflix, Inc.

Los Gatos, California, USA

Full-time

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. The goal of our Content Management & Distribution Data Science and Engineering team is to enable operational and creative excellence in the distribution and promotion of our

Director, Machine Learning

Adobe Systems

San Jose, California, USA

Full-time

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences wher

Engineering Manager, ML Recommendations - USDS

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A94580 Apply to this job Share this listing: Responsibilities About the Team The TikTok Recommendation team sits in the center of TikTok, designs, implements and improves the recommendation algorithm that powers the TikTok For You Page (FYP). The team is at the intersection of cutting-edge machine learning research and large-scale end-to-end production systems. We take pride in finding the right balance between solid applied researc

Machine Learning Engineer Intern (Search -TikTok.US) - 2025 Summer (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A64647A Apply to this job Share this listing: Responsibilities Team Introduction Our Search Engineering Team is responsible for building and owning TikTok's search engine which can provide our users with the best search experience. In TikTok Search Team, you'll have the opportunity to build full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP

Machine Learning Engineer Intern (E-commerce Governance Algorithms) - 2025 Summer/Fall (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A230993 Apply to this job Share this listing: Responsibilities Governance and Experience team of e-commerce are responsible for ensuring the safety and trust-worth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passio

Machine Learning Engineer Intern (E-commerce Governance Algorithms) - 2025 Summer/Fall (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A95108 Apply to this job Share this listing: Responsibilities Governance and Experience team of e-commerce are responsible for ensuring the safety and trustworth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passiona

AI / Machine Learning Research Engineer (early career)

Lockheed Martin Corporation

Palo Alto, California, USA

Full-time

Job Description The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy individual with a strong working knowledge in software engineering, artificial intelligence and machine learning to support the Applied AI team and product portfolio, focusing on a broad range of projects across the LAIC. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed