machine learning Jobs in palo alto, ca

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Machine Learning Engineer, Model Optimization & Deployment, Optimus

Tesla Motors

Palo Alto, California, USA

Full-time

Tesla is building robust, real-world AI through humanoid robots. As a Software Engineer for the Optimus team, you will build the tools and infrastructure to make and measure improvements to neural network architecture, visualize data, assist with exporting and deploying neural networks to Tesla's neural network chip with real-time latency constraints on Optimus, and evaluate experimental results. You will help us automate the entire workflows of training, validation, and production of Optimus. M

Machine Learning/ML Engineer (CyberSecurity) - Only W2

Della Infotech

Sunnyvale, California, USA

Contract

Title of the role: ML/AI Developer / Engineer Duration: 12month+Location: Sunnyvale, CA Hybrid Position Machine Learning AI Developer - IT Infrastructure, InfoSec, and Operations We are seeking a talented and innovative Machine Learning AI Developer to join our IT Infrastructure, InfoSec, and Operations team. Requirements: - Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or a related field. - Overall 10 Years experience with 3+ years of experience developing and im

Senior AI/ML Engineer - Remote work

Invovia Inc

Santa Clara, California, USA

Contract, Third Party

AI/ML Engineer Remote work 12 Months Contract Job Description: Hands-on experience in analysing the various data and building data modelling and pipeline leveraging BigQuery data streaming or Databricks in near real-time. Experience in Apache Spark, Airflow Develop real-time and batch ML models using embeddings, collaborative filtering, and deep learning. Integrate user behaviour signals, session data, and content metadata to optimize relevance. Experience working with LLM technologies, includi

Software Engineer Graduate (Data Arch - AI/ML Infrastructure) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A190727 Apply to this job Share this listing: Responsibilities Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation products to provide the most stable and best experience for our TikTok users. University graduates are important parts to our team with your fresh ideas and creative thoughts. We are looking for talented individuals to join our team in 2026. As a gra

Machine Learning Engineer - CV/NLP/Multimodal LLM (TikTok Trust and Safety) - 2026 Start(PHD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A115025 Apply to this job Share this listing: Responsibilities The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in

Machine Learning Infrastructure Engineer

Mice Groups

Redwood City, California, USA

Full-time

ob Title: Machine Learning Infrastructure Engineer Computer Vision & AI Location: Redwood City, CA (Hybrid Onsite 3 days/week) Job Type: Contract-to-Hire or Full-Time Pay Rate (Contract): $80 $90/hr (up to $100/hr for C2C) Salary (Full-Time): $165K $210K About the Role We are seeking a highly skilled Machine Learning Infrastructure Engineer to join a cutting-edge AI team focused on real-time video analytics and computer vision. This role is ideal for someone passionate about building scalable ML

Machine Learning Engineer Intern - TikTok Search E-Commerce team - 2026 Summer (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A115619 Apply to this job Share this listing: Responsibilities Team Introduction The Search E-Commerce team spearheads the development of TikTok's advanced search algorithm, crucial for its booming global e-commerce platform. Utilizing state-of-the-art large-scale machine learning, along with cutting-edge NLP, CV, and multi-modal technologies, we are committed to creating a top-tier search engine. Our goal is to deliver the best e-co

ML / AI Developer (Only Local candidates)

Digital Minds Technologies Inc.

Sunnyvale, California, USA

Contract

Title : ML / AI Developer Location: Sunnyvale CA (On-site) Job Description: Responsibilities: - Design, develop, and implement advanced machine learning models and algorithms to address complex challenges in areas such as threat detection, anomaly detection, and risk assessment. - Develop AI-driven solutions that integrate seamlessly with existing IT infrastructure and security systems. - Collaborate with cross-functional teams to identify and prioritize AI use cases that align with organization

Machine Learning Engineer Intern - TikTok Search Local Services team - 2026 Summer (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A104804A Apply to this job Share this listing: Responsibilities Team Introduction The Data-Search-TikTok-Local Services team enhances local services by improving user discovery of hospitality, dining, and leisure experiences while driving ecosystem growth. They leverage large-scale machine learning to refine search and recommendation systems, focusing on personalized relevance, CTR/CVR prediction, and optimized conversion efficiency

Software Engineer, Machine Learning Infrastructure

Nuro Inc.

Mountain View, California, USA

Full-time

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver , to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms

Machine Learning Research Scientist (1 Year Fixed Term)

Stanford University

Stanford, California, USA

Full-time

The Enigma Project (enigmaproject.ai) is a research organization based in the Department of Ophthalmology at Stanford University School of Medicine dedicated to understanding the computational principles of natural intelligence using the tools of artificial intelligence. Leveraging recent advances in neurotechnology and machine learning, this project aims to create a foundation model of the brain, capturing the relationship between perception, cognition, behavior, and the activity dynamics of th

Senior Manager Software Engineering - AI/ML Solutions

JPMorgan Chase & Co.

Palo Alto, California, USA

Full-time

Job Description Join us in reshaping the future! as a Lead AI/ML Engineer (Tech Lead Manager) you will be responsible for ML feature development, ML model training, ML model deployment, Gen AI LLM approaches such as RAG and Agent. You will join the AI/ML Platform & Solutions Engineering team within our Consumer & Community Banking (CCB) division. In this role, you will assist our technical partners and data science teams by focusing on traditional AI/ML and Generative AI platform enablement to

Senior Machine Learning Engineer, TikTok Core Feed Recommendation - Dedup

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A244339 Apply to this job Share this listing: Responsibilities About the Team Dedup team drives research and develops cutting-edge AI technologies that power core product experiences. Our work focuses on building large-scale, high-performance systems that support key strategies such as video deduplication, originality recognition, copyright detection, content safety, and content moderation. We are committed to delivering a seamless

Machine Learning Engineer, TikTok Core Feed Recommendation - Dedup

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A15293 Apply to this job Share this listing: Responsibilities About the Team Dedup team drives research and develops cutting-edge AI technologies that power core product experiences. Our work focuses on building large-scale, high-performance systems that support key strategies such as video deduplication, originality recognition, copyright detection, content safety, and content moderation. We are committed to delivering a seamless a

Sr. Machine Learning Engineer, Charging Data Modeling

Tesla Motors

Palo Alto, California, USA

Full-time

We are the charging-data-modeling team that uses data analytics and machine learning to bridge the engineering, service, deployment and operation of Tesla's charging infrastructure and to enhance the charging experience worldwide. With over 70,000 Superchargers and several thousand destination charging sites around the world, Tesla's charging solution aims to accelerate the world's transition to sustainable energy by enabling electric mobility without compromises. We use large-scale data analy

Internship, Machine Learning Engineer, Noise Vibration Harshness Engineering (Winter/Spring 2026)

Tesla Motors

Fremont, California, USA

Full-time

Consider before submitting an application: This position is expected to start around January 2026 and continue through the Winter/Spring term (ending approximately May 2026) or continuing into Summer 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. entry level candidates seeking employment after graduation and not returnin

Principal Machine Learning Engineer (DLP)

PaloAlto Networks

Santa Clara, California, USA

Full-time

Company Description Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of

Engineer Graduate: (Machine Learning Engineer, Data-Search-TikTok Recommendation - San Jose) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A160337 Apply to this job Share this listing: Responsibilities The Search Growth team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerc

(General Hire) Machine Learning Engineer, Data-Search - San Jose - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A138177A Apply to this job Share this listing: Responsibilities About the team In the Data Search Department, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are a

Senior Staff Machine Learning Engineer

ServiceNow, Inc.

Santa Clara, California, USA

Full-time

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But thi