$51.15 per hour
Distribution and Transmission projects. The General Construction Field Engineering group supports the coordination and execution of this work. The... ...initial assignments, the Field Engineer may be required to learn an…
Engineering & IT · Fresno, CA
Machine Learning Engineer jobs in Fresno, CA
Machine learning engineers take models from notebook to production — building training pipelines, serving infrastructure, and monitoring so ML systems keep working after launch.
29
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$41–$105/hr
Typical pay range
$140k
Median, full-time
3
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local production locations. • Manages time, resources, and learning effectively. Qualifications Predominant Knowledge,... ...integrity and compliance. Education Bachelor level degree in Engineering or other field supplem…
$41 - $45 per hour
efficiency, clinical confidence, adaptive collaboration, and accelerated intelligence. Learn about the Danaher Business System which makes everything possible. The Field Service Engineer is responsible for ensuring optim…
Requisition ID # 172484 Job Category: Engineering / Science Job Level: Individual Contributor Business Unit: Strategy & Growth Work Type: Hybrid Job Location: Fresno Department Overview The hardworking coworkers of Elect…
QK is seeking a Senior Civil Engineer to lead and deliver diverse engineering projects while mentoring teams and supporting client relationships. This role is ideal for a licensed engineer who enjoys both technical work…
$80k - $120k
traveling throughout the United States, we want to hear from you. Position Summary Clark Bros, Inc. is seeking a Traveling Project Engineer to support heavy civil and renewable energy construction projects throughout the…
$80k - $112k
and contribution to Teichert Construction. Works closely with engineering services, field operations, and/or estimating on work performance... ...unsolicited resumes sent to a Teichert mailing address, fax machine or ema…
a multi-service infrastructure consulting firm providing civil engineering and surveying services across California, the Pacific Northwest... ...BKF offers competitive and award-winning benefits and perks. To learn more…
$72k - $90k
utility scale solar, battery storage and high voltage substation projects nationwide. Job Description Summary The EPC Project Engineer will support the jobsite team, coordinate and manage project deliverables to achieve…
Position Overview As a Sales Engineer, you will be responsible for identifying, developing, and securing new opportunities for building automation and energy management systems. This role blends technical expertise with…
$38 - $50 per hour
Department: Radiology Location: Fresno, CA Sierra Pacific Orthopedics, the leading full-service orthopedic group in the San Joaquin Valley, is seeking a CA Licensed Full-Time X-Ray Technologist to add to our Radiology De…
JLB Traffic Engineering, Inc. (JLB) is looking for Project Engineers interested in full-time positions with experience in traffic and civil engineering with a transportation background. JLB offers a positive and supporti…
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What machine learning engineers earn in Fresno
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $41–$57 | $86k–$119k |
| Mid level | $57–$78 | $119k–$162k |
| Senior | $75–$105 | $157k–$218k |
Adjusted for the Fresno market from national ranges.
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What employers ask for
The skills these listings keep naming
Python and software engineeringPyTorch or TensorFlowML fundamentals and evaluationModel serving and APIsMLOps (tracking, registries, CI)Docker and KubernetesData pipelines and feature storesLLM fine-tuning and RAG (a plus)Monitoring and drift detection
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Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Walk me through taking a model from prototype to production.
Cover data pipelines, training reproducibility, serving, and monitoring. Emphasize that the model is a small part of the system — that framing is the job.
How do you monitor a model in production?
Discuss input drift, prediction distributions, delayed labels, and business metrics — plus what triggers retraining. Mention that silent degradation is the default failure mode.
How would you reduce inference latency or cost for a large model?
Options include distillation, quantization, batching, caching, and smaller models. Frame it as measuring first, then choosing the cheapest acceptable quality tradeoff.
Tell me about a time a model failed in production. What happened?
A real story about skew, drift, or a data bug — with detection and prevention — is far more convincing than claiming smooth deployments.
How do you evaluate a model beyond accuracy?
Talk about the metric matching the business cost of errors, slicing by segment, and offline-online gaps. Naming a case where accuracy misled is a strong touch.
When would you fine-tune an LLM versus use retrieval or prompting?
Start cheap: prompting, then RAG for knowledge, fine-tuning for behavior and format. Cost and maintenance burden should drive the answer.
How do you make training reproducible?
Version code, data, and config; track experiments; pin environments. This is engineering discipline applied to ML, which is exactly the role.
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Resume tips that move the needle
For machine learning engineers specifically — generic advice costs you here
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Center bullets on production systems: models served, request volume, latency, and the business metric they moved.
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Show software engineering credentials explicitly — testing, CI, code review — since MLE hiring filters hardest on engineering rigor.
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Name the MLOps tooling you have run (MLflow, SageMaker, Kubeflow, vector databases) as these are common screens.
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Include LLM work with specifics — fine-tuning, RAG, evaluation — if you have it; vague 'GenAI experience' claims read poorly.
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Distinguish your role on shared projects: built the serving layer, owned the pipeline, or trained the model.
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Where this role goes
Typical progression
01
ML Engineer
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Senior ML Engineer
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Staff ML Engineer
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ML Platform Lead
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