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AI Infrastructure Engineer, Early Stage Project

Software Engineering

Mountain View, CA (HQ)

About the Team:

We are a team of engineers, scientists, and designers dedicated to making housing and development more sustainable and equitable. We are developing novel AI solutions to address complex challenges in these industries to drive greater equity, innovation and efficiency. Currently incubating at X, Alphabet’s innovation lab, we are now building the team that will scale our project for global impact. This is a rare opportunity to shape this early stage project in an extremely meaningful way.

About the role:

If you love developing AI pipelines for challenging and unconventional applications, aren’t afraid to dive headfirst into new domains, and are motivated to have a major impact on an early stage project, then this could be a perfect fit for you.

We are looking for experienced Artificial Intelligence (AI) engineers that have hands-on end to end experience spanning from data pipelining to modeling training to deployment. Experience with AI infrastructure, including serving model inference at scale, is a must. We are looking for creative problem solvers who aren’t afraid to roll up their sleeves and build.

How you'll make 10X impact:

• Build and scale robust AI/ML/optimization approaches including infrastructure for training, validation, and inference

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Deploy, monitor and iterate!

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

What you should have:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field.

• At least 3 years of industry experience in a software engineering role

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.)

• Understanding of cloud platforms like GCP and infrastructure-as-code tools like Terraform.

It’d be great if you also had these:

• Prior experience in the real estate or with CAD-type data formats

• Startup experience where you've honed your ability to build, test, and learn rapidly.

The US base salary range for this full-time position is $174,000 - $276,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please contact us at:x-accommodation-request@x.team.