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Senior Machine Learning Engineer Jobs in Newark, CA

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$140K - $185K/yr

As a Senior Machine Learning Engineer on this team you will be responsible for helping to design and implement a variety of projects around the GenAI space The Role: • Work closely with our lead ...

As a Senior Machine Learning Engineer on this team you will be responsible for helping to design and implement a variety of projects around the GenAI space The Role: · Work closely with our lead ...

Sr Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in San Jose, CA Job Duties: Design and deploy scalable traditional and generative AI solutions and productize ML models that enhance PayPal's ability ...

Sr. Machine Learning Engineer 4

San Jose, CA · On-site

$122K - $168K/yr

We are looking for a Senior Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation ...

Sr Machine Learning Engineer

San Jose, CA

$143K - $189K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in San Jose, CA Job Duties: Design and deploy scalable traditional and generative AI solutions and productize ML models that enhance PayPal's ability ...

Senior Machine Learning Engineer

Mountain View, CA · On-site

$123K - $169K/yr

As a Senior Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative ...

Senior Machine Learning Engineer

Mountain View, CA · On-site

$123K - $169K/yr

As a Senior Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative ...

Sr. Machine Learning Engineer 4

San Jose, CA

$122K - $168K/yr

We are looking for a Senior Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation ...

Senior Machine Learning Engineer AgentPlatform - Adobe Experience Platform THE OPPORTUNITY Build the Agent Platform That Powers Enterprise AI Adobe Experience Platform powers personalized experiences ...

Senior Software Engineer, Machine Learning We're looking for a product-minded machine learning engineer who's excited to push the boundaries of what's possible with AI. At Arcade, you'll experiment ...

We're looking for seasoned engineers with machine learning backgrounds to support this mission. Examples of problems include improving ad relevance, inferring demographics, optimizing yield, and more.

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

As part of our team, you will be leveraging and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents ...

Showing results 41-60

Senior Machine Learning Engineer information

See Newark, CA salary details

$66.9K

$142.3K

$206.4K

How much do senior machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior machine learning engineer in Newark, CA is $142,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $161,400.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Senior Machine Learning Engineer jobs in Newark, CA look for? The top searched job categories for Senior Machine Learning Engineer jobs in Newark, CA are:
What cities near Newark, CA are hiring for Senior Machine Learning Engineer jobs? Cities near Newark, CA with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Newark, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $142,340 per year, or $68.4 per hour.

Senior Machine Learning Engineer, Agentic Systems - Moveworks

ServiceNow

Mountain View, CA • On-site

Full-time

Re-posted 5 days ago


ServiceNow rating

8.3

Company rating: 8.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

100th of 242 rated software companies


Job description

Job Summary:
ServiceNow is a global market leader in innovative AI-enhanced technology. The Senior Machine Learning Engineer will be responsible for building and optimizing scalable machine learning infrastructure to support training, evaluation, and deployment of large language models, impacting the way customers experience AI.
Responsibilities:
• Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
• Build abstractions to automate various steps in different ML workflows
• Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
• Leverage your experience to drive best practices in ML and data engineering
Qualifications:
Required:
• 5+ years of industry experience in Machine Learning, Infrastructure or related fields
• Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
• Experience with building and scaling end-to-end machine learning systems
• Experience building scalable micro services and ETL pipelines
• Expertise in Python and experience with performant language such as C++ or GoLang
• Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
• A love of research publications in the machine learning and software engineering communities
• Effective communicator with experience collaborating cross-functionally with other teams
Company:
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions. Founded in 2004, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What ServiceNow employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


ServiceNow logo

About ServiceNow

Sourced by ZipRecruiter

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2004