Top 77 Aws cloud practitioner Jobs in San Francisco, Ca

Machine Learning Engineer I, Growth Relevance
Handshake —San Francisco, CA
- $151,000 - $189,000 a year
- Full-time
- Azure
- Computer Science
- 3 years
- Paid parental leave
- Health insurance
Senior Software Engineer - Together Cloud Platform
Together AI —San Francisco, CA
- $160,000 - $230,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Health insurance
Network Engineer
Gensler —Oakland, CA
- $115,000 - $130,000 a year
- Full-time
- Computer Science
- 5 years
- Data analysis skills
- Profit sharing
- Paid holidays
5d
Senior Software Engineer - Together Cloud Infrastructure
Together AI —San Francisco, CA
- $220,000 - $290,000 a year
- Full-time
- Azure
- 5 years
- Research
- Health insurance
Software Engineering PMTS - Data Platform
Salesforce —San Francisco, CA
- $197,300 - $344,700 a year
- Full-time
- Office
- Mentoring
- Fair chance
- Paid parental leave
- Disability insurance
Forward Deployed Engineer, Microsoft AI & Data
Deloitte —San Francisco, CA
- $134,500 - $265,100 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Forward Deployed Engineer- Palantir
Deloitte —San Francisco, CA
- $134,500 - $265,100 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Worldwide Specialist Solutions Architect - Database, Data & AI
Amazon Web Services, Inc. —San Francisco, CA
- $153,600 - $239,000 a year
- Full-time
- Spanish
- System design
- 3 years
- AD&D insurance
- Health insurance
Infrastructure Engineer, TL
Arena Intelligence, Inc. —San Francisco Bay Area, CA
- Full-time
- Hybrid work
- AWS
- Senior level
- 4 years
- Health insurance
- Dental insurance
Forward Deployed Engineer
Arcade —San Francisco, CA
- Full-time
- Hybrid work
- Azure
- System design
- 3 years
Architect, Data Platform — AgentExchange
Salesforce —San Francisco, CA
- $218,400 - $401,400 a year
- Full-time
- Office
- Mentoring
- Fair chance
- Paid parental leave
- Disability insurance
AI Engineering Consultant - Utilities
Accenture —San Francisco, CA
- $59,100 - $205,800 a year
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
- Paid holidays
- Disability insurance
Senior AI Engineer
h2o.ai —San Francisco, CA
- Full-time
- Hybrid work
- Azure
- 8 years
- AWS
Quick Apply
Sr. Staff Cloud Resilience Engineer - Security
UKG (Ultimate Kronos Group) —San Francisco, CA
- $129,500 - $186,100 a year
- Hybrid work
- Azure
- AWS
- Travel
Software Engineering Architect - FinOps & Capacity Platform
Salesforce —San Francisco, CA
- $263,200 - $401,400 a year
- Full-time
- Azure
- 11+ years
- Research
- Paid parental leave
- Disability insurance
Lead Product Software Engineer
Disney Entertainment and ESPN Product & Technology —San Francisco, CA
- $163,100 - $228,600 a year
- Computer Science
- Office
- Java
Solution Architect- Presales (US West)
AppViewX —San Francisco, CA
- Remote
- Computer science
- 7 years
- Azure
Sr Customer Solutions Manager, Strategic Accounts
Amazon Web Services, Inc. —San Francisco, CA
- $176,600 - $239,000 a year
- Full-time
- 5 years
- AWS
- Travel
- AD&D insurance
- Health insurance
AI & Data Decision Science Consultant - Utilities
Accenture —San Francisco, CA
- $59,100 - $205,800 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Paid holidays
- Disability insurance
Google Agentic AI Delivery Specialist
Information Technology Senior Management Forum —San Francisco, CA
- $59,100 - $196,000 a year
- Full-time
- Azure
- Computer Science
- AWS
- Paid holidays
- Disability insurance

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aws cloud practitioner jobs near san francisco, ca

Machine Learning Engineer I, Growth Relevance

Handshake -
San Francisco, CA

Apply Now

Job Details

Full-time
$151,000 - $189,000 a year

Benefits

Internet reimbursement
Paid parental leave
Health insurance
Dental insurance
Paid time off
Parental leave
Vision insurance
401(k) matching
Referral program
Food provided

Qualifications

AI models
TensorFlow
Increasing user engagement
Azure
Computer Science
PyTorch
Software deployment
Public Cloud
AI platforms (beyond public GPTs)
Computational framework
3 years
Master's degree
Production systems
Collaboration with product development teams
AWS
Bachelor's degree
Model deployment
Developing large-scale AI models
Improving predictive model accuracy
Natural language processing
Model training
System deployment
Neural networks
Data science
Machine learning libraries
Bachelor's degree in computer science
Model evaluation
Machine learning frameworks
MLOps
Entry level

Full Job Description

Location

San Francisco, CA

Employment Type

Full time

Department

Engineering

Compensation

$151K – $189K

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

About Handshake

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

Why join Handshake now:

Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions
Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders
Build a massive, fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

About the Role

Handshake is hiring a Machine Learning Engineer I for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies.

You'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality.

What You'll Do

Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers.
Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.
Learner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment.

Desired Capabilities

Bachelor’s degree in Computer Science, Data Science, or a related field
3 years of experience in machine learning, data science, or a related area
Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow
Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation

Extra Credit

Master’s degree or currently pursuing an advanced degree in a relevant field
Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI
Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines)
Experience with cloud platforms (GCP, AWS, or Azure)
Clear communicator, able to translate technical work for diverse audiences
Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams

Perks

Handshake delivers benefits that help you feel supported—and thrive at work and in life.

The below benefits are for full-time US employees.

Ownership: Equity in a fast-growing company

Financial Wellness: 401(k) match, competitive compensation, financial coaching

Family Support: Paid parental leave, fertility benefits, parental coaching

Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend

Growth: $2,000 learning stipend, ongoing development

Remote & Office: Internet, commuting, and free lunch/gym in our SF office

Time Off: Flexible PTO, 15 holidays + 2 flex days

Connection: Team outings & referral bonuses

Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

Compensation Range: $151K - $189K

Apply Now

Refine Your Search

aws cloud practitioner jobs in san francisco, ca

Machine Learning Engineer I, Growth Relevance

Senior Software Engineer - Together Cloud Platform

Network Engineer

Senior Software Engineer - Together Cloud Infrastructure

Software Engineering PMTS - Data Platform

Forward Deployed Engineer, Microsoft AI & Data

Forward Deployed Engineer- Palantir

Worldwide Specialist Solutions Architect - Database, Data & AI

Infrastructure Engineer, TL

Forward Deployed Engineer

Architect, Data Platform — AgentExchange

AI Engineering Consultant - Utilities

Senior AI Engineer

Sr. Staff Cloud Resilience Engineer - Security

Software Engineering Architect - FinOps & Capacity Platform

Lead Product Software Engineer

Solution Architect- Presales (US West)

Sr Customer Solutions Manager, Strategic Accounts

AI & Data Decision Science Consultant - Utilities

Google Agentic AI Delivery Specialist

I want to receive the latest job alert for aws cloud practitioner in san francisco, ca

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