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Trainee Mechanical Engineering Machine Learning Jobs in California

Solcoa Industries

Mechanical Engineering Intern

Alameda, CA · On-site

$21.25 - $28.50/hr

The Role - Mechanical Engineering Intern Join our hardware team and help turn designs into working ... Hands-on build experience from labs, clubs, internships, or personal projects (machine shop tools ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

... engineering, and products to build tools that help the electricity ecosystem plan smarter, move ... About the role: We're looking for an early career Machine Learning Engineer to join our team. In ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... machine learning models, with a strong understanding of data and model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

... engineering, and products to build tools that help the electricity ecosystem plan smarter, move ... About the role: We're looking for an early career Machine Learning Engineer to join our team. In ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Apple

Machine Learning Engineer

Santa Clara, CA · On-site

As such, we are seeking candidates with applied machine learning experience and strong software engineering skills. Description Leverage and enhance the latest advancements in machine learning and ...

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Senior Software Engineering, Machine Learning Operations, Tapestry

Mountain View, CA • On-site

X, the moonshot factory
1 - 5K employees
Learn more about X, the moonshot factoryexternal

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

S e n i o r S o f t w a r e E n g i n e e r i n g , M a c h i n e L e a r n i n g O p e r a t i o n s , T a p e s t r y
Software Engineering Mountain View, CA (HQ)
About Tapestry
Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.
Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.
Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here .
About the role:
We're looking for an early career engineer to join our Machine Learning team. In this role you will help build and deploy state of the art machine learning models to solve complex challenges that face today's electric grid. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
How you will make 10x impact:
  • Design, build, and maintain CI/CD pipelines for Machine Learning workflows using tools like Cloud Build or GitHub Actions.
  • Manage the deployment of ML models into production environments (e.g., Vertex AI, GKE), focusing on scalability and high availability..
  • Develop and manage automated ML workflows for training and batch prediction using tools Vertex AI Pipelines.
  • Work closely with AI Researchers and Data Scientists to containerize training code (Docker) and optimize code for cloud execution, bridging the gap between experimentation and production.

What you should have:
  • Master's Degree/Bachelor's Degree in Computer Science, Engineering or related field
  • 3+ years of professional experience in Software Engineering, DevOps, or Data Engineering, with at least 1-2 years focused specifically on MLOps or ML infrastructure.
  • Strong proficiency in Python
  • Deep understanding of Docker and basic familiarity with container orchestration.
  • Experience working with public cloud platforms (GCP, AWS, or Azure).
  • Experience with version control (Git), CI/CD, and artifact management.

It'd be great if you also had these:
  • GCP Specialization: Hands-on experience specifically with the GCP AI/ML stack, including Vertex AI (Pipelines, Feature Store, Model Registry), BigQuery.
  • Orchestration: Experience designing complex DAGs using Kubeflow.
  • Infrastructure as Code: Strong experience writing and maintaining production-grade Terraform modules.
  • ML Frameworks: Familiarity with standard ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Our values
  • Take charge: We take initiative and own outcomes that move the mission forward.
  • Transform with purpose: We build solutions that solve real problems and create meaningful impact.
  • Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
  • Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
  • Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.

What we offer
A culture that supports growth, ownership, and meaningful impact, along with:
  • Competitive salary and equity
  • Medical, dental, and vision coverage
  • Generous PTO and flexible hybrid work model
  • 401(k) with employer contribution
  • Professional development
  • The ability to work on important real-world problems within an Alphabet-backed environment

The US base salary range for this full-time position is $166,000 - $244,000 + 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.
An Equal Opportunity Workplace
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 .

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