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Senior Machine Learning Engineer Jobs in Fresno, CA

Deloitte

Cyber - Google Cloud Security - Manager

Fresno, CA · On-site

$110K - $148K/yr

... machine learning security, container security, data protection, monitoring, and secure delivery ... Serving as the primary day-to-day client contact, driving outcomes across engineering, security ...

Chipton Ross

CNC Machinist

Del Rey, CA · On-site

$19.75 - $27/hr

Control CNC Programs at the machine following all procedures/protocols * Setup, with full to ... Maintain quality standards focusing on learning how to reduce the number of defects due to ...

Chipton Ross

Quality Engineer

Del Rey, CA · On-site

$69K - $89K/yr

POSITION RESPONSIBILITIES Senior Associate, Quality Engineer works under moderate supervision and ... Understands and communicates typical aerospace processes (machining, welding, non-destructive ...

ACCO Engineered Systems

Project Engineer

Fresno, CA · On-site

Progression from Project Engineer I to Project Engineer II, III, or a Senior role is based on ... to learning and change. * Insight: The ability to gather and make sense of information that ...

ACCO Engineered Systems

Project Engineer

Fresno, CA · On-site

Progression from Project Engineer I to Project Engineer II, III, or a Senior role is based on ... to learning and change. * Insight: The ability to gather and make sense of information that ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Fresno, CA

Senior Machine Learning Engineer information

See Fresno, CA salary details

$59.1K

$125.7K

$182.2K

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

As of Sep 8, 2026, the average yearly pay for senior machine learning engineer in Fresno, CA is $125,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $142,500.00 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 Fresno, CA?

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

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

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

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

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

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

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

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Fresno, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $125,660 per year, or $60.4 per hour.

Algorithm Developer (Quant Research & Trading) - 2027 Grads

Hudson River Trading

London, CA • On-site

$300K/yr

Full-time

Re-posted 25 days ago

Job description

Hudson River Trading (HRT) is seeking exceptional quantitative thinkers to join our Algorithm Development teams in New York, London, and Singapore. Algorithm Developers at HRT are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability.

Ideal candidates are strong researchers eager to learn new skills, who can work both independently and collaboratively to solve problems efficiently.

Qualifications

  • You are a full-time undergraduate or masters student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2027
  • Experience programming in Python and/or C++
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
  • A passion for applying quantitative models and technology toward solving real-world problems
  • Brilliant analytical and problem-solving skills
  • Ability to work creatively and independently on long-term technical problems

Base salary for US is $300,000. Other locations have similarly locally competitive base salaries. A sign-on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.

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