machine learning Jobs in alviso, ca

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Machine Learning Engineer

Eclaro

Los Altos, California, USA

Contract

4+ years of professional ML engineering experience at an AI/ML-focused organization.Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision.Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP.Strong proficiency in Python and software development best practices such as uni

ML Ops Engineer

MARVEL INFOTECH Inc

Sunnyvale, California, USA

Full-time, Contract

Title: ML Ops Engineer Location: Austin, TX OR Sunnyvale, CA Type: FTE/ FTC Job Summary For this role, we are looking for ML Ops Engineer with Kubernetes and Python. Experience Required: 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS Technical skills: Python, Kubernetes, Mongo DB, Microservices, AWS SOLR ML operations, CI/CD pipelines, LLM Good understanding of Apache SOLR Proficient with Linux administration. Knowledge of ML models and LLM. Abil

AI/ML Engineer

Cybertec, Inc.

Sunnyvale, California, USA

Contract

Job Title: ML/AI Developer Location: Sunnyvale, CA (Hybrid) Duration: Contract 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 wi

Machine Learning Engineer Graduate (BRIC) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A36317 Apply to this job Share this listing: Responsibilities The Business Risk Integrated Control (BRIC) team is searching for talented interns to help us solve one of the internet's toughest challenges: protecting a global community from sophisticated, adversarial threats. We are the engineering team responsible for the security and authenticity of TikTok, CapCut, and more. We stop spam, shut down fraud, prevent account takeovers,

Software Engineer Graduate (Ads ML Infrastructure) - 2026 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A129705 Apply to this job Share this listing: Responsibilities About the team The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building

(General Hire) Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads)- 2026 Start(BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A133206A Apply to this job Share this listing: Responsibilities Global Monetization Product and Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solut

(General Hire) Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A08786 Apply to this job Share this listing: Responsibilities Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business in

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

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A34818 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 Engineer Graduate Local Services - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A206610 Apply to this job Share this listing: Responsibilities The Local Services team's goal is to deliver user-facing products based on the location that connects people with places, localized content, and service in the real world around the globe. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth

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

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

Machine Learning Engineer Graduate (Data-Search-TikTok Recommendation) - 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 Graduate (Data-Search) - 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

ML Ops senior engineer

Yashco Systems, Inc.

Sunnyvale, California, USA

Contract

Must have: Expertise in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong Experience in deployment/devops technologies: CI/CD pipelines, Kubernetes/Docker, and infrastructure-as-code tools (Terraform, Ansible, etc.). and cloud-native architectures (Google Cloud Platform and Aruze), monitoring and observability for ML workloads Advanced understanding of ML pipeline orchestration tools like Kubeflow, MLflow, Airflow, or TFX.Nice to have: Experience with dis

Machine Learning Engineer (Data-Search-TikTok.US) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A88637 Apply to this job Share this listing: Responsibilities About the team On the TikTok Search Team, 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 also ex

Android AI ML Engineer - On-Device in Mountainview, CA (Onsite)

Prospance Inc.

Mountain View, California, USA

Contract

Android AI ML Engineer - On-Device | Multinational Manufacturing Client Build intelligent, privacy-first mobile systems that detect and respond to real-world conditions. Deploy resource-efficient ML models directly on Android devices with secure backend integration. Key Responsibilities: Deploy ML models on Android devices using TensorFlow Lite, ML Kit, MediaPipe, PyTorch MobileOptimize mobile performance for model size, memory usage, and latencyIntegrate apps with backend systems for model mana

Android AI ML Engineer - Infrastructure

Digital Minds Technologies Inc.

Mountain View, California, USA

Contract

Job Title: Android AI ML Engineer - Infrastructure Location: Mountain View, CA Note: U.S. Citizens, s, and those authorized to work in the U.S. for any employer will be considered, we unable to sponsor at this time Duties: Position Summary: We are looking for an experienced Android AI/ML Engineer - Infrastructure to develop advanced on-device machine learning systems that enable secure, adaptive, and scalable intelligence across mobile devices. The role emphasizes building intelligent, adaptive,

Machine Learning Engineer, AI Safety - LLM MLOps

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

Nvidia is looking for a talented Machine Learning Engineer to work on Product Security, Content Safety, ML Fairness and Robustness efforts for LLMs across all of our research and production engineering teams. In this role you'll have the opportunity to take on innovative problems in machine learning, particularly focused on safety for multi-modal LLMs. This role is directed at assessing, quantifying, and improving the safety and inclusivity of our LLM models in a scalable fashion. Our team also