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…
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.
15
Open roles today
$41–$105/hr
Typical pay range
$140k
Median, full-time
4
Fresh in this list
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01
Open machine learning engineer roles
12 shown of 15 · sorted by freshness
$120k - $200k
Mechanical Project Manager Location: Fresno, CASalary: $120K-$200K base (salary depends on experience)The OpportunityA premier, full-service mechanical contractor in the Fresno/Central Valley is seeking an experienced Me…
$110.3k - $165.5k
firms while building our clean energy future.Your OpportunityOur US work group has an opportunity for a Senior Transmission Line Engineer; this individual will sit in any of Stantec’s US offices. Project requirements wil…
adaptability, transparency, and people who are invested in building both their careers and our business. Position Summary The Plant Engineer is responsible for providing support to the Management Staff to ensure that the…
$100k - $120k
contributions, prioritizes your safety, and supports your purpose – whatever it may be. Position Summary The Senior Project Engineer will be responsible for the technical coordination, administration, and project control…
$80k - $120k
your contributions, prioritizes your safety, and supports your purpose – whatever it may be. Position Summary: The Project Engineer will be responsible for assisting the project superintendent or project manager in the d…
$95k - $140k
Job Title: Field Engineer – Heavy Civil Construction Location: Fresno, California Salary Range: $95,000 – $140,000 (Based on Experience) Employment Type: Full-Time Important Note – Please Read Before Applying ✔ Applicant…
$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…
$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…
$70k - $95k
) retirement plan with matching and profit sharing. As a Civil Engineer, expect to plan, organize, and execute a variety of projects across... ...the way through completion. There are several opportunities to learn and g…
$90k - $125k
Job Title: MRF (Material Recovery Facility Manager)/ Recycling Manager Employment Type: Full-Time Company Overview: Our client, a leader in waste and recycling services, is seeking an experienced MRF Manager to oversee t…
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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
04
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
04
ML Platform Lead
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