Top 1196 Senior ai/ml engineer Jobs in Pleasanton Ca

Senior AI Platform Engineer
Twin Health —Mountain View, CA
- $180,000 - $200,000 a year
- Remote
- Computer Science
- 5 years
- System design
- Paid parental leave
- Health savings account
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Senior ML Performance Engineer
Atlassian —Mountain View, CA
- $149,400 - $235,000 a year
- Remote
- 7 years
- System design
- Mentoring
1d
Senior AI Engineer
Twin Health —Menlo Park, CA
- $200,000 - $220,000 a year
- Remote
- Computer Science
- 5 years
- System design
- Paid parental leave
- Health savings account
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Senior AI Infrastructure Engineer - Model Training
Kodiak —Mountain View, CA
- $190,000 - $260,000 a year
- Computer Science
- Bachelor of Science
- System design
- Health savings account
- Paid holidays
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Senior Fullstack Engineer, AI Orchestration
Commure —Mountain View, CA
- $170,000 - $230,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Senior AI Data Science Engineer
Intuitive Surgical —Sunnyvale, CA
- $152,000 - $257,200 a year
- Day shift
- Computer Science
- HIPAA
- 3 years
Senior ML/AI Engineer - Observability
General Motors —Sunnyvale, CA
- $178,420 - $230,500 a year
- Email
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
ML Engineer – Healthcare Foundation Model Developer
Stanford University —Stanford, CA
- Full-time
- Hybrid work
- Management
- Engineering
- System design
Senior AI Infrastructure Engineer
Gatik AI —Mountain View, CA
- $180,000 - $240,000 a year
- System design
- Office
- Analysis skills
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Senior Machine Learning Engineer - ML Training Infrastructure
General Motors —Sunnyvale, CA
- $170,000 - $240,000 a year
- Email
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
Senior AI Workflow Engineer
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Azure
- Computer Science
- Research
Senior Advanced AI Research Engineer
Logic —Mountain View, CA
- $122,700 - $338,300 a year
- Full-time
- Computer science
- 6 years
- Computer Science
- Paid holidays
- Disability insurance
Senior/Staff AI Perception Engineer
Anyware Robotics —Fremont, CA
- $180,000 - $280,000 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- Health insurance
- 401(k)
AI/ML Engineer - Agentic
Hewlett Packard Enterprise —San Jose, CA
- $136,500 - $276,500 a year
- Full-time
- Computer science
- Computer Science
- System design
Senior Research Engineer - AI-Native Online Datastore Systems
TikTok —San Jose, CA
- $218,400 - $480,000 a year
- On call
- Computer Science
- System design
- Office
- Paid parental leave
- Paid holidays
Senior ML Engineer, Metropolis
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Computer science
- Computer Science
- 8 years
3d
Senior Platform AI Engineer
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Bachelor of Science
AI/ML Engineer II
TENEX.AI —San Jose, CA
- Full-time
- Azure
- Computer Science
- System design
Senior Advanced AI Research Engineer
Information Technology Senior Management Forum —Mountain View, CA
- $122,700 - $338,300 a year
- Full-time
- Computer science
- 6 years
- Computer Science
- Paid holidays
- Disability insurance
9d
Senior / AI Agent Engineer, Brand Concierge
Adobe —San Jose, CA
- $151,800 - $265,350 a year
- Full-time
- Azure
- Computer Science
- 3 years

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senior ai/ml engineer jobs near pleasanton ca

Senior AI Platform Engineer

Twin Health -
Mountain View, CA

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Job Details

$180,000 - $200,000 a year

Benefits

Paid parental leave
Health savings account
Dental insurance
Flexible spending account
Parental leave
Vision insurance

Qualifications

AI models
Software engineering
Big data projects
Go
Computer Science
System troubleshooting
Tooling
5 years
Improving system uptime or availability
Data structures
IT system monitoring
Spark
System performance optimization
Software implementation
System design
NoSQL
AI platforms (beyond public GPTs)
Scalable systems
Java
Microservices
System design for system development
Spark implementation
Machine intelligence
Bachelor's degree in engineering
Docker
Technology management
Model deployment
Implementation (software development lifecycle)
Mentoring
Systems engineering

Full Job Description

Twin Health

At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.

We start by building a dynamic model of each person's metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.

Working here

Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights' Digital Health 150, and named one of Newsweek's Top Most Loved Workplace® .

With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.

Join us as we reinvent the standard of care in metabolic health.

Opportunity:

Are you ready to be at the forefront of integrating machine learning with healthcare technology? We are seeking a dynamic and innovative ML Ops Engineer. The ideal candidate is self-driven, versatile in handling multiple projects, and a collaborative team player. You will be instrumental in developing our cutting-edge machine learning platform and enhancing our existing healthcare solutions. We value individuals who are adept at working with complex systems and possess exceptional communication and leadership skills.

Responsibilities:

Architect, design, and build robust and efficient AI/ML systems for a production environment, focusing on backend distributed systems, microservices, and ensuring system accuracy.
Lead cross-functional initiatives end-to-end (scoping, timelines, dependencies), driving alignment across Data, Infra and ML Engineering.
Collaborate closely with AI/ML engineers to optimize workflows for model training, real-time inference, monitoring, and troubleshooting
Be a subject matter expert on ML infrastructure, providing guidance to both internal teams and external stakeholders.
Ensuring operational excellence and reliability of ML systems. Define and enforce SLAs around system performance, including latency, throughput, and resource utilization.
Develop tools for effective model management, continuous monitoring, and enhancing the efficiency and effectiveness of the entire ML lifecycle.
Actively engage in mentorship and knowledge sharing to promote a culture of continuous learning and improvement within the team.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 5+ years of industry experience
Familiarity with architectural frameworks of large, distributed, and high-scale ML applications. Experience in the implementation of applications using LLM's and GenAI is a huge plus.
Solid understanding of MLOps, data structures, and software design principles.
Proficiency in programming with Python and experience in other languages like Java or Go.
Strong knowledge in deploying scalable machine learning models, including experience with Docker, Kubernetes, and microservices architecture.
Experience with database technologies (e.g., SQL, NoSQL) and big data processing frameworks (e.g., Spark) is a plus

Benefits

The compensation for this position is $180,000 - $200,000.

Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin

A competitive compensation package in line with leading technology companies
A remote and accomplished global team
Opportunity for equity participation
Unlimited vacation with manager approval
16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
401k retirement savings plan

We have been made aware of fraudulent interview requests being sent using the Twin Health's name. All communications will come from official Twin Health channels and a twinhealth.com email address. We will never ask you to complete a text interview or request financial details during the interview process.

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Refine Your Search

senior ai/ml engineer jobs in pleasanton ca

Senior AI Platform Engineer

Senior ML Performance Engineer

Senior AI Engineer

Senior AI Infrastructure Engineer - Model Training

Senior Fullstack Engineer, AI Orchestration

Senior AI Data Science Engineer

Senior ML/AI Engineer - Observability

ML Engineer – Healthcare Foundation Model Developer

Senior AI Infrastructure Engineer

Senior Machine Learning Engineer - ML Training Infrastructure

Senior AI Workflow Engineer

Senior Advanced AI Research Engineer

Senior/Staff AI Perception Engineer

AI/ML Engineer - Agentic

Senior Research Engineer - AI-Native Online Datastore Systems

Senior ML Engineer, Metropolis

Senior Platform AI Engineer

AI/ML Engineer II

Senior Advanced AI Research Engineer

Senior / AI Agent Engineer, Brand Concierge

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