$27 - $32 per hour
MedTech is seeking Mechanical Field Service Engineers to support a nationwide medical device... ...hydraulic assemblies on dialysis machines. Complete required rinse, flush, testing... ...outcomes and population health w…
Engineering & IT · Tucson, AZ
Machine Learning Engineer jobs in Tucson, AZ
Machine learning engineers take models from notebook to production — building training pipelines, serving infrastructure, and monitoring so ML systems keep working after launch.
61
Open roles today
$41–$104/hr
Typical pay range
$139k
Median, full-time
5
Fresh in this list
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01
Open machine learning engineer roles
12 shown of 61 · sorted by freshness
A leading open-source software firm is seeking a Junior Software Developer to join their Observability team. This remote role requires strong skills in Python and Go, along with a passion for open-source technologies, Li…
$86.8k - $165.2k
Salary: $86,800 - 165,200 per year Requirements: We require a Bachelors degree in Science, Technology, Engineering, or Mathematics, with STEM preferred, plus at least 5 years of prior engineering experience. We need expe…
Location Tucson, AZ Market Gas MarketWho is Team Fishel? Since 1936, we’ve been the Best Choice in utility engineering and construction. Safety is our top priority and is key in everything we do. We’re industry professio…
Machine Test & Validation Engineer Diversified Services Network, Inc. (DSN) is seeking a full-time Machine Test & Validation Engineer to join our team in Tucson, AZ. We offer full benefits, PTO, 401k, and more! If you're…
$60 - $87.5 per hour
Job Title : Senior Mechanical Engineer Work Location: Tucson, AZ 85756 Duration: 12 months contract with potential extension Work Schedule: 9/80A Shift: 1 st Shift Pay : $60.00 - $87.50 per hour on W2! Citizenship Requir…
the boldest and most ambitious space missions. SENIOR SYSTEMS ENGINEER I Rocket Lab’s Optical Systems division solves mission-critical... ...State and/or the U.S. Department of Commerce, as applicable. Learn more about I…
Job Description Job Description THIS ROLE IS ON-SITE IN TUCSON, ARIZONA AND WILL REQUIRE RELOCATION Job Title: Systems Engineer Job Description This Systems Engineer role focuses on the design, integration, and developme…
Requisition ID: 98989 Job Category: Engineering; Metals; Mining Location: Tucson, AZ, United States Join a company that is passionately committed to the pursuit of a better world through positive change. With more than 7…
$101k - $124k
employee-owned company, is seeking an experienced Analytics Engineer to advance complex intelligence operations and contribute significantly... ...data-driven solutions. Apply artificial intelligence, machine learning, a…
$65k - $80k
Tree Care Services Business Developer Location: Tucson, AZ Regional Territory Job Type: Full-Time | $65,000 - $80,000 Base + Commission | Company Vehicle A leading national services organization is seeking a driven and c…
whose missions depend on your work. Cross-Functional Excellence : Collaborate with brilliant computer scientists, electrical engineers, and mathematicians in a true R&D environment where technical excellence is the stand…
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What machine learning engineers earn in Tucson
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $41–$57 | $85k–$118k |
| Mid level | $57–$77 | $118k–$160k |
| Senior | $75–$104 | $155k–$216k |
Adjusted for the Tucson 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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