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Senior Machine Learning Engineer Jobs in Fresno, CA

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 ...

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 ...

... career management, learning and development, succession planning, and employee engagement ... IT, HR, ACES and Engineering to build and secure support and resources for projects and ...

... career management, learning and development, succession planning, and employee engagement ... IT, HR, ACES and Engineering to build and secure support and resources for projects and ...

Associate degree in engineering or related field from an accredited US school other than ... We encourage bold thinking and continuous learning, and we value ownership, resilience and ...

Associate degree in engineering or related field from an accredited US school other than ... We encourage bold thinking and continuous learning, and we value ownership, resilience and ...

... career management, learning and development, succession planning, and employee engagement ... IT, HR, ACES and Engineering to build and secure support and resources for projects and ...

Showing results 21-40

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 Aug 18, 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:

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.

Senior Software Engineer, Core Experiences - Fresno, CA, USA

Speechify

Fresno, CA • On-site, Remote

$121K - $160K/yr

Full-time

Re-posted 8 days ago


Job description

Mission

Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You'll Do

  • Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
  • Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
  • Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

  • Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
  • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
  • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
  • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
  • Preferred Tech Stack:
    • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
    • Prior experience with GCP is a plus

What We Offer

  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.