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Cloud Machine Learning Engineer Jobs in California

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus ...

We protect how people, data, and AI agents connect across email, cloud, and collaboration tools ... Machine Learning Engineer Location : Sunnyvale, CA, USA, Hyderabad, A.P., India , Athens, Greece ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus ...

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ...

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems ... using cloud infrastructure • Prior experience with visual document understanding and layout ...

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ...

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ...

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ...

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ... with cloud-based training environments (AWS, GCP, Azure). • Excellent communication and ...

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ...

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI ... with cloud-based training environments (AWS, GCP, Azure). • Excellent communication and ...

Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ... Experience with PostgreSQL, APIs, and modern cloud architectures * Strong understanding of ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will ...

Showing results 21-40

Cloud Machine Learning Engineer information

What cities in California are hiring for Cloud Machine Learning Engineer jobs?

Cities in California with the most Cloud Machine Learning Engineer job openings:

Machine Learning Engineer

On-site

Machina Labs
1 - 10 employees

$160K - $190K/yr

Other

Posted 9 days ago


Job description

Job Description:

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what’s possible in smart manufacturing. In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You’ll work closely with our engineering team to transform raw data into actionable intelligence, enabling our robots to produce parts with greater precision, speed, and adaptability.

This is a hands‑on role for someone who thrives at the intersection of research and production, someone who is just as comfortable wrangling messy datasets as they are architecting scalable ML pipelines. If you’re passionate about applying machine learning to real‑world manufacturing challenges, we’d love to hear from you.

Key Responsibilities:
  • Design, build, train, evaluate, and deploy machine learning models to support and improve our robotic manufacturing processes.
  • Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets for model training and evaluation.
  • Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus on Azure.
  • Leverage Databricks and Apache Spark for large‑scale data processing and model development.
  • Collaborate with cross‑functional teams, including robotics, software, and manufacturing engineers to integrate ML solutions into production workflows.
  • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges.
  • Write clean, well‑documented, and production‑quality Python code.
  • Communicate findings, results, and recommendations to both technical and non‑technical stakeholders.
Required Background & Experience:
  • Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands‑on experience in machine learning and AI; or a Ph.D. in a relevant field with 3+ years of experience.
  • Strong experience designing, building, training, and testing machine learning models end‑to‑end.
  • Proven ability to work with raw, unstructured, or incomplete data, including data collection, cleaning, labeling, and dataset construction.
  • Proficiency in Python for ML development, data processing, and scripting.
  • Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.
  • Experience with Databricks and Apache Spark for data engineering and model development.
Preferred Qualifications:
  • Machine learning experience in CAD and computational geometry applications.
  • Experience working in the industrial or manufacturing space.
  • Experience with robotics, including robotic perception, control, or planning.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.

$160,000 - $190,000 a year

The base salary range for this role is dependent on experience, qualifications, and overall alignment with the scope of the position.

In addition to base compensation, Machina Labs offers a competitive benefits package and stock option participation.

Machina Labs is an affirmative action and equal employment opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444‑9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

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