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Machine Learning Jobs in Fresno, CA (NOW HIRING)

Deloitte

Microsoft D365 F&O SCM Manager

Fresno, CA

We modernize their supply chains using artificial intelligence, machine learning and connected products resulting in a competitive asset for the entire organization. Qualifications * 10+ years of ...

Bee Sweet Citrus

Production Management Intern

Fowler, CA · On-site

$17.90/hr

  • Medical

Oversee state-of-the-art machinery and equipment to ensure efficiency with the assistance of the production manager * Communicate with leadership to present new ideas and streamline processes ...

Bee Sweet Citrus

Production Management Intern

Fowler, CA · On-site

$17.90/hr

  • Medical

Oversee state-of-the-art machinery and equipment to ensure efficiency with the assistance of the production manager * Communicate with leadership to present new ideas and streamline processes ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in Fresno, CA

Machine Learning information

See Fresno, CA salary details

$25.3K

$42.3K

$87.4K

How much do machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning in Fresno, CA is $42,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Fresno, CA?

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

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

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

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

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

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

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

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Fresno, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,282 per year, or $20.3 per hour.

Operations Specialist II, Aerospace & Defense (US)

Airspace

Fresno, CA

$23 - $26/hr

Full-time

Posted 11 days ago

Job description

Company Introduction:

Airspace is a tech-enabled freight forwarder that's redefining how the world's most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands.

As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant, to parts for critical machinery including grounded aircraft and highly sensitive components such as semiconductors.

Airspace has been rated one of America's best Startup Employers and listed as one of CNBC's Disruptor 50 companies. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m.

The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute on our mission of reshaping the world of time-critical logistics.

Own the Judgment Calls That Keep Orders Moving

Every shipment eventually hits a moment that isn't in the SOP — a failed carrier connection, an oversized load with no obvious coverage, a customer who needs a straight answer under pressure. As an Operations Specialist II, you're the person who resolves that moment without waiting for someone else to tell you how.

You've mastered the OS I fundamentals and are now trusted to act on incomplete information, source coverage other people can't, and de-escalate situations independently. This is where reactive execution starts becoming proactive ownership.

What You'll Do

Must be able to perform all responsibilities included in the Operations Specialist I job description, in addition to the following:

Resolve What Doesn't Fit the Standard Playbook
  • Independently start carrier traces for failed-to-load or unable-to-locate shipments
  • Source driver coverage for any segment of an order, including oversized shipments
  • Use bid/quote request tools to source specialized vehicles and provide cost estimates to customers
  • Apply training and tenured knowledge to anticipate complications and proactively solve for them
Exercise Independent Judgment
  • De-escalate most situations without assistance
  • Know when to escalate an order versus independently resolving it using available resources
  • Understand the downstream impact of decisions made within an order
Communicate Proactively and Strengthen the Platform
  • Communicate proactively — not just reactively — with customers, drivers, and agents at every step of the shipment process
  • Maintain any certifications required for your assigned sector and stay current on related compliance requirements
  • Identify and suggest system features or workflow improvements that would help Operations
Maintain a Balanced Level of Performance

As an OS II, you'll be expected to meet minimum metric requirements and customer service standards appropriate for this level. Specific metrics vary by sector and will be communicated by your direct reporting supervisor. Expectations increase with each advancement.

Requirements
  • Demonstrated success as an Operations Specialist I, or equivalent time-critical logistics / customer operations experience
  • Proven ability to make sound decisions with incomplete information and under time pressure
  • Track record of de-escalating difficult customer or operational situations without needing to hand it off
  • Comfort sourcing non-standard solutions (specialized vehicles, oversized loads) rather than defaulting to escalation
  • Any certifications required for your assigned sector (e.g., Dangerous Goods handling, where applicable), or willingness to obtain them
  • Continued availability to work the shift pattern required by your team
  • Available for 2 weeks of training in person on-site in our Carlsbad, CA headquarters
Advancement to Operations Specialist III

To advance to OS III, you'll need to demonstrate all of the following:

  • Minimum of 6-12 months in the OS II role
  • Consistently meeting or exceeding OS II performance standards, tracked through ongoing 1:1 check-ins and confirmed across two consecutive Semi-Annual Reviews (SARs)
  • Demonstrated advanced problem-solving proficiency — independently resolving escalations rather than routing them upward
  • Working understanding of margin and cost tradeoffs as they relate to order decisions
  • Manager recommendation, confirming readiness to operate as an escalation point for the team

Compensation

  • Hourly pay range: $23-26/hr
  • High-quality health, vision, and dental care plan options
  • 401K company contribution program
  • Professional learning and training reimbursements
Core Values:
  • We are One Team. We believe we all accomplish more when we are working together.
  • We make an Impact. We are determined to have a positive influence on our environment, our customers, our industry, and our world.
  • We are Passionate. We care deeply about our mission and are not afraid to raise the bar.
  • We are Transparent. We pride ourselves on having open, honest, and sincere communication with our team and customers.
  • We are Innovative. We never settle and are always striving to improve our product, service, and ourselves.

Airspace is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Airspace participates in the E-Verify program for all locations.

A friendly reminder: Airspace will only contact candidates from an @airspace.com email, a no-reply notification from no-reply@us.greenhouse-mail.io, or a verified LinkedIn profile. We never request fees or sensitive personal/financial information during recruiting. If something seems suspicious or feels off, please reach out to us at recruiting@airspace.com before responding.
For this role the acquisition of recruitment agencies is not appreciated, thank you for your understanding.