Job Opportunities
Find jobs near you, whether onsite, hybrid, or remote.- Similar Jobs to: Machine Learning Engineer (GCP)
Machine Learning Engineer (GCP)
GlobalLogicSan Jose
Primary platform: Google Cloud Platform (inference, deployment automation, experimentation, sampling)Infrastructure: Hybrid — on-premise streaming + GCP serving stacksDistributed systems: Working know
Staff Machine Learning Engineer
PayPalSan JoseJob Summary This role leads the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. The successful candidate will work closely with da
Senior Machine Learning Engineer
RokuSan JoseTeamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in
Senior Machine Learning Engineer
TETRAMEM INCSan JoseAt TetraMem, we are redefining the future of AI with our groundbreaking innovations in In-Memory Computing. Leveraging world-record multi-level RRAM technology, we deliver highly efficient solutions f
Perception Engineer: Machine Learning
TensorSan JoseTensor is an agentic AI company dedicated to building agentic products that empower individual consumers. Our flagship product, the Tensor Robocar, is the world’s first personal Robocar and the first
Sr. Machine Learning Engineer 4
Adobe Systems IncSan JoseWe are looking for a Senior Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, build
Sr. Fellow Machine Learning Engineer
Advanced Micro Devices , Inc.San JoseWHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems
Machine Learning Researcher
Rivet Industries, Inc.San JoseAbout Rivet Rivet is an American company building integrated task systems — fusing hardened hardware with software, sensors, AI, and networking — for industrial workforces and defense personnel. We cr
AI Principal Machine Learning Engineer (10189)
Extreme NetworksSan JoseOver 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver u
Sr. Machine Learning Engineer - Advertising Technology
PowerToFlySan JoseExpedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our
Machine Learning Engineer, Multimodal - Intelligent Integrity
Ellis Technologies, Inc.San JoseLocation: San JoseEmployment Type: RegularJob Code: A193136AResponsibilitiesFocus on ad content understanding and security, conduct algorithm R&D for large model implementation, and apply LLM/MLLM and
Machine Learning Intern (Singapore)
TetraMem IncSan JoseAbout the Role We are seeking a Software Intern to support the development of tools, frameworks, and applications that enable neural network models to run efficiently on TetraMem’s novel analog comput
Sr. Machine Learning Engineer - Advertising Technology
TraveltechessentialistSan JoseExpedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our
Machine Learning Scientist III
Expedia , Inc.San JoseWhy Join Us? To shape the future of travel, people must come first. Guided by our values and leadership agreements, we foster an open culture where everyone belongs, differences are celebrated, and wh
Senior Machine Learning Scientist
Expedia , Inc.San JoseYou will need to login before you can apply for a job.Employer Expedia Group Location San Jose, California, United States Salary USD 187,000.00 - 261,500.00 ;USD 299,000.00 ;USD 173,000.00 - 242,500.0
Machine Learning Scientist III
PowerToFlySan JoseResponsibilitiesDesign & Implement ML Solutions: Take ownership of the end-to‑end ML lifecycle for your projects, from ideation and research to deployment and monitoring.Test, Learn, and Iterate: Desi
Machine Learning Scientist III - Personalization
Expedia , Inc.San JoseExpedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our
Machine Learning Graduate Start (PhD)
PangleglobalSan JoseLocation San Jose Team Technology Employment Type Regular Job Code A31067B Team Introduction We are the Governance & Experience Algorithm Team — a trailblazing AI force at the forefront of building a
Senior Machine Learning Scientist, Conversion Modeling
RokuSan JoseTeamwork makes the stream work. Roku is changing how the world watches TV About the team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem – Ad
Senior Machine Learning Scientist, Conversion Modeling
JobrSan JoseAbout the team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across diff
Machine Learning Engineer, TikTok Content Recommendation (Ecosystem & Cold-Start)
Ellis Technologies, Inc.San JoseMachine Learning Engineer, TikTok Content Recommendation (Ecosystem & Cold-Start) Location: San JoseEmployment Type: RegularJob Code: A62567Responsibilities About the Team: Our team is responsible for
Senior Machine Learning Scientist, Creative Generation & Personalization
RokuSan JoseTeamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in
Principal Data Scientist, Consumer Identity Machine Learning
Capital One National AssociationSan JoseCenter 2 (19050), United States of America, McLean, Virginia Principal Data Scientist, Consumer Identity Machine Learning Data is at the center of everything we do. As a startup, we disrupted the cred
Machine Learning Engineer (Local Services Search) - 2026 Start (BS/MS)
Ellis Technologies, Inc.San JoseMachine Learning Engineer (Local Services Search) - 2026 Start (BS/MS) Location: San JoseEmployment Type: RegularJob Code: A157562ResponsibilitiesSupport the local video service business to enhance us
Machine Learning Engineer Intern (TikTok-Content Ecology) - 2026 Start (PhD)
Ellis Technologies, Inc.San JoseMachine Learning Scientist Intern (TikTok-Content Ecology—LLM application) - 2026 Start (PhD) Location: San JoseEmployment Type: InternJob Code: A200519ResponsibilitiesShort Video Content Understandin
Machine Learning Engineer (GCP)
- San Jose, Arizona, United States
- San Jose, Arizona, United States
About
Infrastructure: Hybrid — on-premise streaming + GCP serving stacks
Distributed systems: Working knowledge required for debugging and end-to-end testing (not deep expertise)
Machine Learning frameworks: TensorFlow, PyTorch, JAX or similar
Requirements
Evaluate and benchmark new ML inference frameworks to guide production decisions
Deploy models to GCP and integrate them into production applications and Java-based streaming pipelines
Own deployment automation end-to-end — from model handoff through live serving
Monitor how models behave in production for real end-users.
Design and execute benchmarking, performance testing, and quality testing on ML models
Perform model sampling to support quality evaluation and researcher feedback loops
Debug issues across the full stack — from inference layer down to streaming pipelines.
Partner with ML researchers to provide benchmarking feedback and guide inference decisions — requires enough core ML knowledge to have a meaningful technical handshake
Adapt rapidly to non-standard and evolving tech stacks across hybrid (on-prem + GCP) infrastructure.
Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
Disclaimer: GlobalLogic estimates the starting pay range for this role to be performed remotely to be $125,000 to $135,000 and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
Job responsibilities
Strong foundation in ML inference, deployment, and quality testing
Demonstrated ability to ramp up quickly on new and unfamiliar tech stacks — this is the single most important trait
End-to-end problem-solving mindset — can own a problem from model handoff to user-facing behavior
Core ML knowledge sufficient to benchmark models and collaborate with researchers
Experience deploying models in cloud environments, ideally GCP.
Exposure to Java or JVM-based systems (model integration happens in Java; deep expertise not required)
Familiarity with streaming data architectures
Experience in hybrid cloud/on-prem environments.
What we offer
Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.
Professional Development: We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.
Excellent Benefits: We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays.
#J-18808-Ljbffr
Languages
- English
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.