Top 739 Ai ml engineer Jobs in Milpitas Ca

Analytics Engineer - AI Trainer
DataAnnotation —Menlo Park, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Analytics Engineer - AI Trainer
DataAnnotation —Santa Clara, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
AIML - ML Engineer, Responsible AI and Safety
Apple —Cupertino, CA
- Computer Science
- Bachelor of Science
- Mid-level
AI/ML Engineer - Agentic
Hewlett Packard Enterprise —San Jose, CA
- $136,500 - $276,500 a year
- Full-time
- Computer science
- Computer Science
- System design
AI and ML Power Methodology Engineer
NVIDIA —Santa Clara, CA
- $136,000 - $264,500 a year
- Full-time
- 5 years
- English
- Databases
14d
AI/ML Software Engineer
Apple —Sunnyvale, CA
- $150,400 - $277,600 a year
- Computer Science
- 5 years
- Analysis skills
- Employee stock purchase plan
- Health insurance
5d
Staff ML Engineer, Generative AI
Uber —Sunnyvale, CA
- $232,000 - $258,000 a year
- Full-time
- Computer Science
- Office
- Bachelor's degree
- 401(k)
Sr. Robotics AI Engineer
Apple —Cupertino, CA
- $184,700 - $324,800 a year
- Computer science
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
11d
AI Engineer - Algorithm Evaluation & Agentic Systems
Apple —Sunnyvale, CA
- $150,400 - $277,600 a year
- System design
- 3 years
- Analysis skills
- Employee stock purchase plan
- Health insurance
4d
AI/ML Silicon Verification Solutions Engineer – Tools
Advanced Micro Devices, Inc —San Jose, CA
- Hybrid work
- Azure
- Computer Science
- Bachelor of Science
Applied AI Engineer
Adobe —San Jose, CA
- $114,100 - $214,950 a year
- Full-time
- Azure
- Mid-level
- 3 years
12d
Evaluation and ML Systems Engineer, AI Safety and Security Engineering
NVIDIA —Santa Clara, CA
- $152,000 - $241,500 a year
- Full-time
- Bachelor's degree
- Experience equivalent to degree accepted
- Senior level
Senior Software Engineer, AI/ML, AI Builder
Google —Mountain View, CA
- $174,000 - $252,000 a year
- Full-time
- Computer science
- Computer Science
- System design
System Performance Engineer - AI/ML, Platform Architecture
Apple —Santa Clara, CA
- $150,400 - $225,300 a year
- Computer science
- Computer Science
- Data analysis skills
- Employee stock purchase plan
- Health insurance
3d
Applied AI Engineer
Apple —Cupertino, CA
- $150,400 - $277,600 a year
- Computer science
- Azure
- Computer Science
- Employee stock purchase plan
- Health insurance
AI/ML Engineer - Model Inference
General Motors —Sunnyvale, CA
- $117,700 - $221,400 a year
- Email
- Computer science
- Computer Science
- Bachelor of Science
- Health savings account
- Paid holidays
Principal Compiler Software Development Engineer - AI/ML
Advanced Micro Devices, Inc —San Jose, CA
- Hybrid work
- Computer Science
- Master's degree
- Analysis skills
8d
Staff Software Development Engineer: GPU, Computer Vision, AI/ML Ops
Advanced Micro Devices, Inc —Santa Clara, CA
- Computer Science
- System design
- Master's degree
SW ML Optimization Engineer
Apple —Cupertino, CA
- $129,300 - $225,300 a year
- Computer Science
- Research
- Mid-level
- Employee stock purchase plan
- Health insurance
13d
Sr. Engineer, AI/ML Apps Engineering (AI2525)
SiMa Technologies —San Jose, CA
- $120,800 - $193,300 a year
- Full-time
- 6 years
- System design
- Office

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ai ml engineer jobs near milpitas ca

Analytics Engineer - AI Trainer

DataAnnotation -
Menlo Park, CA

Quick Apply

Job Details

Part-time | Full-time | Contract
$50 - $100 an hour

Benefits

Flexible schedule

Qualifications

Software coding
English
Providing code feedback

Full Job Description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Analytics Engineer - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick Apply

Refine Your Search

ai ml engineer jobs in milpitas ca

Analytics Engineer - AI Trainer

Analytics Engineer - AI Trainer

AIML - ML Engineer, Responsible AI and Safety

AI/ML Engineer - Agentic

AI and ML Power Methodology Engineer

AI/ML Software Engineer

Staff ML Engineer, Generative AI

Sr. Robotics AI Engineer

AI Engineer - Algorithm Evaluation & Agentic Systems

AI/ML Silicon Verification Solutions Engineer – Tools

Applied AI Engineer

Evaluation and ML Systems Engineer, AI Safety and Security Engineering

Senior Software Engineer, AI/ML, AI Builder

System Performance Engineer - AI/ML, Platform Architecture

Applied AI Engineer

AI/ML Engineer - Model Inference

Principal Compiler Software Development Engineer - AI/ML

Staff Software Development Engineer: GPU, Computer Vision, AI/ML Ops

SW ML Optimization Engineer

Sr. Engineer, AI/ML Apps Engineering (AI2525)

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