ZipRecruiter

Log In

1

Senior Machine Learning Software Engineer Jobs in Pasadena, CA

Capgroup

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

In this role, you will collaborate directly with senior investment professionals and fellow ... Agile software development, test-driven development, unit testing, code reviews, design ...

CIM Group

Sr. Machine Learning Ops Engineer

Los Angeles, CA · On-site

$140K - $179K/yr

They are seeking a Senior Machine Learning Ops Engineer to lead the design and maintenance of scalable infrastructure for ML model deployment and lifecycle management, with a focus on productionizing ...

previous page

Showing results 41-60

All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in Pasadena, CA

Senior Machine Learning Software Engineer information

See Pasadena, CA salary details

$82.4K

$156.3K

$209.4K

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

As of Aug 6, 2026, the average yearly pay for senior machine learning software engineer in Pasadena, CA is $156,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,600.00 and $176,200.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What are popular job titles related to Senior Machine Learning Software Engineer jobs in Pasadena, CA? For Senior Machine Learning Software Engineer jobs in Pasadena, CA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Pasadena, CA look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Pasadena, CA are:
What cities near Pasadena, CA are hiring for Senior Machine Learning Software Engineer jobs? Cities near Pasadena, CA with the most Senior Machine Learning Software Engineer job openings:
Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Pasadena, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $156,303 per year, or $75.1 per hour.

Senior Software Engineer (Architecture)

Targeted Talent

Los Angeles, CA

$132K - $174K/yr

Full-time

Medical, PTO

Re-posted 11 days ago

Job description

About the Company:
Our client is a company building the world's highest- performance pure digital AI inference chip.
They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency.

Responsibilities:

  • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures.
  • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators.
  • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption.
  • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry.
  • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products.
  • Work closely with other software and hardware engineers to develop the next generation of deep learning software.
  • Collaborate with architects and hardware engineers to co-design future accelerators.

Preferred Skills & Experience:

  • 10+ years of experience developing software for a variety of highly parallel architectures.
  • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs.
  • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity.
  • Understanding of Deep Learning fundamentals.
  • Strong development skills in C/C++, Python.
  • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority.
  • Computer Science, Engineering, or related degree; preferably MS or PhD.
  • Driven and self-directed.

Perks:

  • 20 vacation days
  • Strong health and extended health benefits
  • Unlimited sick days
  • Stock options

Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.

Targeted Talent logo

About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

View All Targeted Talent Jobs