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Machine Learning Engineer Software Engineer Jobs in Pasadena, CA

Prosum Inc.

Machine Learning Engineer

CA · On-site

$75 - $89/hr

Machine Learning Engineer Pay Rate: $75-$89/hour Position Summary We are seeking a skilled Machine ... Strong understanding of software development, system architecture, and deployment processes

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

Capgroup

Machine Learning Engineer II

Los Angeles, CA

$105K - $143K/yr

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

Capgroup

Senior Machine Learning Engineer

Los Angeles, CA

$112K - $154K/yr

... Machine Learning Engineer at Capital Group" We are seeking a strong software engineer with ... We value craftsmanship in software engineering, thoughtful problem solving, and a strong sense of ...

Capital Group

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

... Machine Learning Engineer at Capital Group" We are seeking a strong software engineer with ... We value craftsmanship in software engineering, thoughtful problem solving, and a strong sense of ...

Motorola

Machine Learning Engineer

Los Angeles, CA

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director ... Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking ...

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

Machine Learning Engineer Software Engineer information

See Pasadena, CA salary details

$69.3K

$160.9K

$224.2K

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

As of Jun 18, 2026, the average yearly pay for machine learning engineer software engineer in Pasadena, CA is $160,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,900.00 and $188,700.00 per year, depending on experience, location, and employer.

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

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
What are popular job titles related to Machine Learning Engineer Software Engineer jobs in Pasadena, CA? For Machine Learning Engineer Software Engineer jobs in Pasadena, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Software Engineer jobs in Pasadena, CA look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in Pasadena, CA are:
What cities near Pasadena, CA are hiring for Machine Learning Engineer Software Engineer jobs? Cities near Pasadena, CA with the most Machine Learning Engineer Software Engineer job openings:
Machine Learning Engineer Software Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Prosum Inc.

CA • On-site

$75 - $89/hr

Contractor

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

Job description

Job Description
Machine Learning Engineer
Pay Rate: $75-$89/hour
Position Summary
We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design, development, deployment, and maintenance. This role focuses on building scalable, production-ready AI/ML solutions and ensuring seamless integration within existing systems.
The ideal candidate will collaborate with cross-functional teams to deploy, monitor, and optimize machine learning models that drive operational efficiency, innovation, and data-driven decision-making. This position requires strong experience in MLOps, DevOps practices, and cloud-based AI infrastructure.
Key Responsibilities
  • Design, build, deploy, and maintain machine learning models in production environments
  • Develop and manage end-to-end MLOps pipelines, including model versioning, monitoring, and automation
  • Implement scalable ML infrastructure using cloud platforms (AWS, Azure, or GCP)
  • Build and optimize CI/CD pipelines for automated testing and deployment of ML models
  • Collaborate with data scientists, data engineers, and DevOps teams to operationalize AI solutions
  • Monitor model performance, system health, and data drift; implement logging and alerting solutions
  • Ensure reliability, scalability, and performance of ML systems in real-time inference environments
  • Maintain version control for models and code to support reproducibility and collaboration
  • Apply best practices for testing, debugging, and performance optimization
  • Ensure compliance with data security, privacy, and regulatory standards
  • Create and maintain technical documentation for ML systems and processes
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or a related field
  • 3+ years of experience in machine learning engineering or MLOps
  • Hands-on experience managing the end-to-end machine learning lifecycle
  • Strong programming skills in Python, R, and/or SQL
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Experience with containerization (Docker) and orchestration tools (Kubernetes)
  • Experience with infrastructure as code tools such as Terraform
  • Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions)
  • Strong understanding of software development, system architecture, and deployment processes
  • Experience with monitoring, logging, and performance tuning of ML systems
  • Knowledge of version control systems (e.g., Git)
Preferred Qualifications
  • Master's degree in Computer Science, Engineering, or a related field
  • Experience working with healthcare data or regulated environments
  • Familiarity with Electronic Health Record (EHR) systems
  • Experience with predictive modeling, natural language processing (NLP), and large language models (LLMs)
  • Knowledge of retrieval-augmented generation (RAG) frameworks and their applications
  • Understanding of agile methodologies and DevOps lifecycle practices
Core Competencies
  • Production-grade ML model deployment and lifecycle management
  • Scalable infrastructure design for AI/ML workloads
  • Cross-functional collaboration and technical leadership
  • Strong analytical and problem-solving skills
  • Effective technical communication and documentation

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