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Live In Remote Datastage Developer Jobs in Mountain View, CA

Senior Quality Engineer

San Francisco, CA · Remote

$90K - $122K/yr

If you're smart, caring, and ambitious, you'll be in great company. About the role This is a newly created, fully remote Senior Quality Engineer role based on the US West Coast. You'll work the same ...

Senior Quality Engineer

San Francisco, CA · On-site +1

$104K - $141K/yr

If you're smart, caring, and ambitious, you'll be in great company. About the role This is a newly created, fully remote Senior Quality Engineer role based on the US West Coast. You'll work the same ...

Your focus is community presence, live demos, education, and real-world interaction . * Location ... Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm ...

The engineer will collaborate with technical and operations personnel to drive continuous ... live in is on the exclusion list. A role is remote-eligible only when it is listed as "Remote" in ...

Experience Developer

San Jose, CA · Remote

$35.66 - $44.58/hr

This role is remote-friendly but requires availability during Pacific hours. Here's How You'll Make ... Monitor live campaigns via Splunk and maintain dashboards and alerts for rapid issue detection and ...

Online Live Chat

San Jose, CA · Remote

$18 - $25/hr

We provide the guidance and training needed to help you become confident in the role. Requirements ... Benefits & Perks Remote work from the comfort of your home Part-time scheduling options Flexible ...

New

... live and transition, including scope, schedule, budget, risks, assumptions, issues, dependencies ... Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering ...

Senior Software Engineer

Mountain View, CA · On-site +1

$170K - $230K/yr

About the role With a de-risked product live in dozens of Global 2000 companies across the US, w ... Travel with the CEO to customer sites to learn from user feedback This role is hybrid or remote (US ...

MES Scada Engineer _Remote Location: Seattle (REMOTE 100% / Could be traveling to different ... Must have experience in picking up and installing fixes on live customer systems. Proven track ...

Android Developer - Remote

San Jose, CA · On-site +1

$60.50 - $79.50/hr

Remote (Need to work in PST TIme Zone) Duration: 12+ months Role Overview: We are looking for an experienced Android Developer around 9 years of experience to join our team and contribute to building ...

Showing results 21-40

Live In Remote Datastage Developer information

See Mountain View, CA salary details

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$67

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How much do live in remote datastage developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for live in remote datastage developer in Mountain View, CA is $68.00, according to ZipRecruiter salary data. Most workers in this role earn between $57.84 and $73.17 per hour, depending on experience, location, and employer.

What cities near Mountain View, CA are hiring for Live In Remote Datastage Developer jobs?

Cities near Mountain View, CA with the most Live In Remote Datastage Developer job openings:

Infographic showing various Live In Remote Datastage Developer job openings in Mountain View, CA as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $141,436 per year, or $68 per hour.

Staff Machine Learning Engineer, Community Support Engineering

Airbnb

San Francisco, CA • On-site, Remote

$260K/yr

Full-time

Re-posted 21 days ago


Airbnb rating

6.1

Company rating: 6.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

15th of 21 rated holiday rentals


Job description

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. 

The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. 

The richness of Airbnb\'s data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.

The Difference You Will Make:

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. 

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. 

Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.

A Typical Day: 

  • Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
  • Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
  • Learn and share the latest AI/ML technologies with the team.

Your Expertise:

  • PhD/Master’s degree, preferably in CS, or equivalent experience
  • 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems
  • Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
  • Experience with LLM driven chatbot and Agentic AI products would be a big plus
  • Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We\'ll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  

Pay Range$212,000—$260,000 USD

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