Top 259 Machine learning operations architect Jobs in Mountain View, Ca

Embodied AI Researcher (R&D Lab)
LG Electronics —Santa Clara, CA
- $150,000 - $210,000 a year
- Full-time
- Hybrid work
- Computer Science
- 3 years
- Master's degree
- Paid parental leave
- Paid holidays
Quick Apply
Distinguished Machine Learning Engineer
GEICO —Palo Alto, CA
- $210,000 - $350,000 a year
- Full-time
- Azure
- Computer Science
- System design
ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration
Annapurna Labs (U.S.) Inc. —Cupertino, CA
- $136,000 - $212,800 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- AD&D insurance
- Health insurance
1d
Principal Machine Learning Engineer
General Motors —Sunnyvale, CA
- $296,300 - $453,200 a year
- Email
- Remote
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
Software Engineer, Machine Learning RecSys
Meta —Sunnyvale, CA
- $154,003 - $217,000 a year
- Computer science
- Computer Science
- Mid-level
3d
Senior ML Platform Engineer
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- 5 years
Solutions Architect, Scaled Operations AI Accelerator Team
Meta —Menlo Park, CA
- $152,000 - $214,000 a year
- Full-time
- Computer Science
- 8 years
- Analysis skills
Applied Scientist, Machine Learning Accelerator - Annapurna Labs
Annapurna Labs (U.S.) Inc. —Cupertino, CA
- $142,800 - $222,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
9d
SOC Engineering, Architect
Synopsys —Sunnyvale, CA
- $209,000 - $313,000 a year
- Senior level
1d
Senior Machine Learning Platform Engineer
Guidewire Software —San Mateo, CA
- $148,000 - $247,000 a year
- Email
- Hybrid work
- Azure
- Computer Science
- Java
- Health insurance
- Dental insurance
Distinguished Machine Learning Engineer, Customer Intelligence and Recommendation
GEICO —Palo Alto, CA
- $150,000 - $300,000 a year
- Full-time
- Computer Science
- 5 years
- System design
Reinforcement Learning Engineer
Hammerhead AI —Redwood City, CA
- Full-time
- Computer science
- Computer Science
- System design
- Health insurance
- Dental insurance
Senior Technical Product Manager – DGX Enterprise Infrastructure and Cloud-Native Operations
NVIDIA —Santa Clara, CA
- $208,000 - $379,500 a year
- Full-time
- Computer science
- Computer Science
- Bachelor's degree
AI Architect
Apple —Cupertino, CA
- $207,400 - $311,700 a year
- Computer Science
- 5 years
- Senior level
- Employee stock purchase plan
- Health insurance
9d
AI Solutions Architect
Blackhawk Network —Pleasanton, CA
- $170,360 - $230,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
Senior Delivery Consultant - Data , Professional Services, AWSI HCLS
Amazon Web Services, Inc. —Mountain View, CA
- $153,600 - $207,800 a year
- Full-time
- 5 years
- System design
- HIPAA
- AD&D insurance
- Health insurance
4d
Staff Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI
Eightfold.AI —Santa Clara, CA
- $232,000 - $310,000 a year
- Hybrid work
- Computer science
- Computer Science
- Data analysis skills
- Health insurance
- Dental insurance
R&D AI & Intelligent Tool Development Engineer, Joint Development Modules (7735)
TSMC —San Jose, CA
- $150,000 - $250,000 a year
- Hybrid work
- Office
- Doctor of Philosophy
- Software development
Fellow, AI Systems Architect for Operations
Arm —San Jose, CA
- $308,600 - $417,500 a year
- Email
- Computer Science
- 11+ years
- Master's degree
9d
Software Engineer, GPU Performance
Google —Sunnyvale, CA
- $147,000 - $211,000 a year
- Full-time
- Computer science
- Computer Science
- System design

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Embodied AI Researcher (R&D Lab)

LG Electronics -
Santa Clara, CA

Quick Apply

Job Details

Full-time
$150,000 - $210,000 a year

Benefits

Paid parental leave
Paid holidays
Disability insurance
Health insurance
Dental insurance
Paid time off
Parental leave
Vision insurance
401(k) matching

Qualifications

Research project technical leadership
Cross-functional communication

Full Job Description

Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.

About the Team - LG's Emerging Technology Lab

LG's Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG's CTO organization. Located in the Silicon Valley and New Jersey, we drive excellence across CTO organizations and business units by pioneering in select emerging technology areas. As the Center of Excellence (CoE), we define and shape key technology domains, setting strategic directions that foster impactful internal and external partnerships to deliver measurable business value.

About the Position - Embodied AI Researcher

We are seeking an exceptional Embodied AI Researcher to help realize LG's vision of the Zero-labor Home. This hybrid role offers a unique opportunity to develop generalist robot intelligence and deploy it at scale in next-generation LG home robot platforms. You will work at the frontier of embodied intelligence while seeing your research transition into real-world products used by millions.

What You Will Do:

Conduct fundamental and applied research to advance the state of the art in Embodied AI, with the support to publish at top-tier conferences and contribute to the broader scientific community.
Develop next-generation Robot Foundation Models to advance robot capabilities such as 3D spatial reasoning, dexterous manipulation, zero-shot task generalization, long-horizon planning, and safe human-robot interaction.
Train multimodal models that integrate vision, language, tactile sensing, and proprioception to achieve robust real-world performance.
Architect scalable data pipelines that combine high-fidelity simulation, generative AI, and real-world data collection to fuel large-scale model training.
Collaborate with global research teams and hardware partners to integrate embodied AI technologies into LG's consumer ecosystem.
Contribute to defining technical strategy and long-term research roadmaps that shape LG's embodied AI initiatives.

Why This Opportunity Is Unique:

Operate at the intersection of frontier AI research and large-scale consumer deployment, where breakthroughs transition rapidly from papers to products.
Enjoy strong support for research ownership and collaboration, including the opportunity to work and publish with leading universities and AI labs.
Engage with startups and industry collaborators to co-design hardware–software systems and validate them in real-world applications.

Expected Qualifications:

PhD in Computer Science, Robotics, Machine Learning, or a related technical field with a strong publication record (or Master's degree with 3+ years of equivalent research or industry experience demonstrating comparable impact).
Deep research and engineering expertise in one or more of the following areas:
- Robot Foundation Models (e.g., VLA, LBM, Diffusion/Flow Matching for manipulation and locomotion),
- World Model training for robot action prediction,
- Spatial Intelligence (self-supervised visual foundation models, 3D scene reconstruction, embodied scene understanding),
- Multimodal representation learning across vision, language, and tactile
- Learning from human demonstrations and self play.
Excellent written and verbal communication skills, with the ability to clearly articulate complex technical ideas across research and engineering teams.
Proven ability to work independently and independently drive technically ambitious research projects in dynamic and fast-moving environments.

Nice-to-have:

Hands-on experience with robot HW systems, including manipulators or mobile robots, and sensors such as RGB/Depth cameras and FT/Tactile sensors.
Experience with physics-based simulation platforms (e.g., PyBullet, MuJoCo, Isaac Sim) for large-scale data generation, experimentation, and evaluation.

Compensation: the base salary range is between $150k-$210k, depending on experience and location. Additional compensation incentives are also included.

#L1-JH1

#L1-Hybrid

Benefits Offered Full-Time Employees:

No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.

Benefits Offered Temporary/Contractors:

Eligible for the relevant benefit programs offered through our partner agencies.

Privacy Notice to California Applicants

Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or [email protected]. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.

All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.

Quick Apply

Refine Your Search

machine learning operations architect jobs in mountain view, ca

Embodied AI Researcher (R&D Lab)

Distinguished Machine Learning Engineer

ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration

Principal Machine Learning Engineer

Software Engineer, Machine Learning RecSys

Senior ML Platform Engineer

Solutions Architect, Scaled Operations AI Accelerator Team

Applied Scientist, Machine Learning Accelerator - Annapurna Labs

SOC Engineering, Architect

Senior Machine Learning Platform Engineer

Distinguished Machine Learning Engineer, Customer Intelligence and Recommendation

Reinforcement Learning Engineer

Senior Technical Product Manager – DGX Enterprise Infrastructure and Cloud-Native Operations

AI Architect

AI Solutions Architect

Senior Delivery Consultant - Data , Professional Services, AWSI HCLS

Staff Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI

R&D AI & Intelligent Tool Development Engineer, Joint Development Modules (7735)

Fellow, AI Systems Architect for Operations

Software Engineer, GPU Performance

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