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Senior Machine Learning Software Engineer Jobs in Pasadena, CA

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$145K - $165K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

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 ...

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 ...

Warnerbros

Senior Machine Learning Engineer

Burbank, CA

$111K - $153K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Deep Python expertise and strong software engineering practices; production experience building and ...

Warnerbros

Senior Machine Learning Engineer

Burbank, CA

$111K - $153K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Deep Python expertise and strong software engineering practices; production experience building and ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

... software, computer vision, and machine learning can meaningfully augment or automate complex engineering judgment. As a Senior Machine Learning Engineer, you will play a key role in designing ...

HADRIAN

Machine Learning Engineer

Torrance, CA

$250K/yr

... software, computer vision, and machine learning can meaningfully augment or automate complex engineering judgment. As a Senior Machine Learning Engineer, you will play a key role in designing ...

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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 Jul 30, 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 July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $156,303 per year, or $75.1 per hour.

Senior Machine Learning Engineer, Match Team

Enigma Technologies, Inc.

Los Angeles, CA • On-site

$112K - $154K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Enigma Technologies, Inc. is building a reliable source of data on businesses to enhance financial services. They are looking for a Senior Machine Learning Engineer to join their Match Team, focusing on improving customer-facing data products through advanced machine learning and engineering systems.
Responsibilities:
• Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems
• Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS
• Evaluate and evolve our search technology stack, driving technical design decisions across indexing strategies, retrieval architecture, and system performance tradeoffs
• Lead end-to-end work from research design through experimentation, productionization, and customer-facing delivery
• Design evaluation frameworks for measuring relevance, precision/recall, ranking quality, and user engagement signals
• Improve query understanding via techniques like embedding models, vector search, hybrid retrieval, and query rewriting
• Detect and investigate anomalies in search performance, ranking behavior, and data freshness, tracing issues to root cause
• Partner closely with Product, Engineering, and client stakeholders to improve search experience and discoverability
• Mentor teammates and help raise the bar for experimentation rigor, system design, and operational excellence
Qualifications:
Required:
• Brings 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems
• Has strong programming proficiency in Python and experience operating within cloud environments (AWS preferred)
• Demonstrated applied, production-level expertise in two or more of the following technical domains: information retrieval, ranking systems, NLP/embedding models, or distributed systems.
• Has experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms
• Brings strong judgment in ambiguous environments where relevance signals and ground truth are noisy or implicit
• Effectively communicates technical concepts and tradeoffs to technical and non-technical audiences
• Thrives in highly collaborative environments with strong ownership and fast iteration cycles
• Has an advanced degree in a quantitative discipline or equivalent deep industry experience
Preferred:
• Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS)
• Have built customer-facing search or recommendation systems or APIs
• Have worked on query understanding, embeddings, LLM-powered retrieval, or hybrid search systems
• Have mentored senior engineers or data scientists and raised the technical bar across disciplines
Company:
Enigma is the most reliable, trusted source of data on businesses in the United States. Founded in 2011, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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