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Contract Google Machine Learning Engineer Jobs in Berkeley, CA

Capital One

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 ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

... contract lifecycle management (CLM). What you'll do As a Machine Learning Engineer on the AI ... Platform team, you will design and build the foundational infrastructure that powers Docusign ...

Docusign

Machine Learning Engineer

San Francisco, CA · On-site

$164K - $266K/yr

... contract lifecycle management (CLM). What you'll do As a Machine Learning Engineer on the AI ... Platform team, you will design and build the foundational infrastructure that powers Docusign ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...

Skild AI

Machine Learning Engineer

San Mateo, CA

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...

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All JobsContract Google Machine Learning Engineer JobsContract Google Machine Learning Engineer Jobs in Berkeley, CA

Contract Google Machine Learning Engineer information

See Berkeley, CA salary details

$36

$59

$121

How much do contract google machine learning engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for contract google machine learning engineer in Berkeley, CA is $59.92, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $62.12 per hour, depending on experience, location, and employer.
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Contract Google Machine Learning Engineer jobs near you
Infographic showing various Contract Google Machine Learning Engineer job openings in Berkeley, CA as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $124,624 per year, or $59.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Genentech, Inc.

South San Francisco, CA • On-site

$168K - $312K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 74 rated pharmaceutical

Job description

Why Genentech
We're passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world's most complex health challenges and transforming society.
The Opportunity
Our Data, Analytics, and AI team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Analytics, and AI empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Analytics, and AI fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG's evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Analytics, and AI, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
The Machine Learning Engineer sits on the Data Science & Machine Learning Team to help the CMG (Commercial, Medical and Government) organization achieve its vision by unlocking value from data quicker and more effectively.
The Machine Learning Engineer will bring a robust understanding of machine learning operations (MLOps) to manage and contribute to our machine learning initiatives.
  • The Machine Learning Engineer will design, enhance, scale, and maintain machine learning solutions from conception to deployment in a production environment.
  • You will collaborate with data scientists, software engineers, and business stakeholders to translate business requirements into scalable ML systems.
  • You will also architect and uphold ML pipelines using job scheduling frameworks to streamline data preparation, training, deployment, and machine learning model lifecycles.
  • In addition to ensuring best practices in code quality, version control, and CI/CD for machine learning pipelines, you will also design and implement robust monitoring systems for deployed models to track performance, data drift, and anomalies.
  • The ML Engineer will also pioneer and administer model retraining, A/B testing, and progressive deployment strategies for continuous model enhancement.
  • You will contribute to the company's machine learning architecture to support scalable and repeatable model training and deployment.
  • Facilitate the creation of automated processes for model validation and testing.

Who You Are
  • You hold a Bachelor's Degree in Computer Science or related technical discipline and 3+ years of experience working in a machine learning engineer role, with a minimum of 2 years in an MLOps-focused position.
  • Your expertise in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Scala, Java), MLOps technologies (e.g., Kubeflow, MLflow, AWS Sagemaker), and job scheduling frameworks (e.g., Apache Airflow,AWS Step Functions) is strong.
  • You have a solid understanding and experience with cloud services and containerization technologies/platforms, particularly AWS and Kubernetes.
  • Proficient with software engineering best practices, including agile development, code reviews, SCM, build processes, testing, and operations.
  • Experience with distributed computing and big data technologies (e.g., Hadoop, Spark).

Preferred
  • Experience building and optimizing structured and unstructured big data pipelines, architectures, and datasets.
  • Excellent communication skills to effectively collaborate with cross-functional teams.

This role offers a hybrid schedule working 3 days per week on campus in South San Francisco, CA.
No relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of CA is $168,100.00 - $312,300.00 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

Social media

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