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Senior Machine Learning Engineer Jobs in Fairfield, CA

Sr. Machine Learning Engineer

San Francisco, CA ยท On-site

$200K - $260K/yr

The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI team, reporting directly to the Head of AI. Signals tell you what happened. Our job is to explain why - and that is the ...

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 ...

As a Senior Machine Learning Engineer at Ambience , you will build and improve the AI systems that power our clinical products. You'll own complex projects end-to-end, from diagnosing production ...

Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth. Who you are * Have 5+ years of industry experience applying machine learning to solve real-world ...

Senior Machine Learning Engineer

San Francisco, CA ยท On-site

$144K - $190K/yr

AI Researcher (World Models & VLA) What you'll do A visionary Machine Learning Engineer to join our founding team who will help bridge the gap between high-level AI research and real-world physical ...

Senior Machine Learning Engineer

San Francisco, CA ยท On-site

$144K - $190K/yr

AI Researcher (World Models & VLA) What you'll do A visionary Machine Learning Engineer to join our founding team who will help bridge the gap between high-level AI research and real-world physical ...

We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide ...

Showing results 21-40

Senior Machine Learning Engineer information

See Fairfield, CA salary details

$60.6K

$128.8K

$186.7K

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

As of Sep 3, 2026, the average yearly pay for senior machine learning engineer in Fairfield, CA is $128,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $146,000.00 per year, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Machine Learning Engineer jobs in Fairfield, CA?

The most popular types of Machine Learning Engineer jobs in Fairfield, CA are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Fairfield, CA?

For Senior Machine Learning Engineer jobs in Fairfield, CA, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Fairfield, CA look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Fairfield, CA are:

What cities near Fairfield, CA are hiring for Senior Machine Learning Engineer jobs?

Cities near Fairfield, CA with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Fairfield, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $128,796 per year, or $61.9 per hour.

Senior Machine Learning Engineer, Fraud Detection

Ellation, Inc.

San Francisco, CA โ€ข On-site

$205 - $240/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

Senior Machine Learning Engineer, Fraud Detection About Crunchyroll

Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, itโ€™s powered by the anime content we all love.

Join our team, and help us shape the future of anime!

About the role

In the role of Senior Machine Learning Engineer, you will report to the Director of Data Science and Machine Learning in the Center for Data and Insights, working from Los Angeles or San Francisco area in California.

In this Machine Learning Engineer role focused on Algorithm Development and End-to-End Production at our VOD streaming company, you will lead the creation and deployment of scalable ML models to detect account sharing fraud, drawing from user behavior data like geolocation, concurrent sessions, and device profiles. This position is essential for collaborating with data scientists, product analysts, and data engineers, translating research prototypes into production systems that enhance detection accuracy while minimizing user disruption, aligning with proven strategies from streaming giants to boost subscriber growth.
We work a hybrid schedule, in-office three days a week; Tuesday, Wednesday, and Thursday.

Core Areas of Responsibility
  • Design and implement machine learning algorithms, including anomaly detection models, to identify unauthorized account sharing in real-time.
  • Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms.
  • Optimize models for performance, scalability, and efficiency to handle high-volume streaming data.
  • Integrate ML solutions with existing systems via APIs and establish monitoring for model drift and retraining.
  • Collaborate on A/B testing and iteration to refine algorithms based on feedback and evolving evasion tactics.
About You
  • Experience: You bring 8+ years of handsโ€‘on experience in ML engineering, with a track record in fraud or anomaly detection systems, ideally in online, consumer facing products and services.
  • Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or XGBoost, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks MLFlow, etc. Experience with cloud computing infra and tooling such as AWS/GCP.
  • Crossโ€‘Functional Collaborations: Experienced in working with data scientists, engineers, and product teams to deploy models that support business goals like revenue optimization.
  • Communication Skills: Strong ability to document technical processes and explain algorithm decisions to diverse stakeholders for seamless integration.
  • Education Background: Possess a master's degree in computer science, machine learning, or a related quantitative field, with certifications in cloud ML being a plus.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to nonโ€‘technical stakeholders.

Educational Background: Graduate degree (MS or PhD) in Computer Science, Statistics, or a related field.

About the Team

Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics. As we expand our scope, our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

  • Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
  • Flexible time off policies allowing you to take the time you need to be your whole self.
  • Generous medical, dental, vision, STD, LTD, and life insurance
  • Health Saving Account HSA program
  • Health care and dependent care FSA
  • 401(k) plan, with employer match
  • Support program for new parents
  • Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid

The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyrollโ€™s Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, timeโ€‘off programs, and progressive health benefits and perks.

$185,000 - $225,000 USD

The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyrollโ€™s Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, timeโ€‘off programs, and progressive health benefits and perks.

$205,000 - $240,000 USD

About our Values

We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value

Courage. We believe that when we overcome fear, we enable our best selves.

Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.

  • Kaizen. We have a growth mindset committed to constant forward progress.

Service. We serve our community with humility, enabling joy and belonging for others.

Our commitment to diversity and inclusion

Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.

We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.

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As set forth in Crunchyroll, LLCโ€™s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

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