Home › Companies › Chabeztech › Machine Learning Engineer
Machine Learning Engineer
Chabeztech · Portland, OR, United States · Active · SmartRecruiters
Job facts
| Field | Value |
|---|---|
| Company | Chabeztech |
| Title | Machine Learning Engineer |
| Normalized title | - |
| Department / team | Information Technology |
| Location | Portland, OR, United States |
| Work model | - |
| Employment type | Contract |
| Salary | - |
| Status | active |
| ATS provider | SmartRecruiters |
| Posted / first seen | 2026-03-26 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-23 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Chabeztech. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through SmartRecruiters. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Portland. | Open |
| Department jobs | Active postings in Information Technology. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Chabeztech |
| Source | ed8cbd39-e175-4739-b64d-b8ca8b44ea51 |
| ATS provider | SmartRecruiters |
Description
Job Title: Machine Learning Engineer
Location: Portland, OR - Onsite (Local only / F2F interview)
Duration: 24 Months Contract
Experience Level: 5+ years of experience
Required Qualifications
• Bachelor’s or master’s degree in computer science, Machine Learning, Electrical Engineering, or related field
• 5+ years of experience in machine learning, data science, or AI engineering
• Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow)
• Experience with time-series data analysis and anomaly detection
• Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models)
• Experience building or working with knowledge graphs (Neo4j, RDF, graph databases)
• Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis)
• Experience deploying ML models in production systems
• Strong problem-solving skills and ability to work with complex, real-world datasets
Preferred Qualifications
• Experience with fault tree analysis (FTA), reliability engineering, or failure analysis
• Background in industrial systems, semiconductors, manufacturing, or IoT environments
• Experience with graph-based ML / Graph Neural Networks (GNNs)
• Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams)
• Experience with vector databases, RAG systems, or LLM-based reasoning
• Knowledge of MLOps practices (CI/CD, monitoring, model governance)
• Experience working in air-gapped or high-security environments
All your information will be kept confidential according to EEO guidelines.
Full job record
| Job ID | 8e3b0039388d18110e0908b7a29ceca8e4dd3dfc |
| Org ID | 970de453-b765-42cd-b20e-7007743fc1c0 |
| Source ID | ed8cbd39-e175-4739-b64d-b8ca8b44ea51 |
| Board ID | ed8cbd39-e175-4739-b64d-b8ca8b44ea51 |
| Provider | smartrecruiters |
| Provider Job Key | 744000117022407 |
| Title | Machine Learning Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Portland, OR, United States |
| Department | Information Technology |
| Team | — |
| Employment Type | contract |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | OR |
| City | Portland |
| Salary Raw | Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor’s or master’s degree in computer science, Machine Learning, Electrical Engineering, or related field • 5+ years of experience in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) • Experience deploying ML models in production systems • Strong problem-solving skills and ability to work with complex, real-world datasets Preferred Qualifications • Experience with fault tree analysis (FTA), reliability engineering, or failure analysis • Background in industrial systems, semiconductors, manufacturing, or IoT environments • Experience with graph-based ML / Graph Neural Networks (GNNs) • Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams) • Experience with vector databases, RAG systems, or LLM-based reasoning • Knowledge of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or high-security environments All your information will be kept confidential according to EEO guidelines. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.smartrecruiters.com/ChabezTech/744000117022407-machine-learning-engineer |
| Apply URL | https://jobs.smartrecruiters.com/ChabezTech/744000117022407-machine-learning-engineer?oga=true |
| First Seen At | 2026-05-31 17:45:14Z |
| Last Seen At | 2026-06-23 11:15:31Z |
| Last Checked At | 2026-06-23 11:15:31Z |
| Last Changed At | 2026-05-31 17:45:14Z |
| Inactive At | — |
| Source Posted At | 2026-03-26 16:36:05Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=chabeztech/date=2026-06-23/2026-06-23T11-15-30-055Z-ecf67e4d0c14e07a1d8cf1486a220be431c4e637442c198e840f915e3488b7a6.json |
Event Fields
{
"content_hash": "c927b4c992e331b4b50571daad1f71137e72edea2950c7575188a8d8e4b7181d",
"source_hash": "37d676a88a0f5ae4ed54e20b87250360c3298a8ac4feeba2416d9e5979d48757",
"last_changed_at": "2026-05-31T17:45:14.863Z",
"active_status": "active"
}Parsed Structured
{
"dedupe": null,
"language": "en",
"location": {
"raw": "Portland, OR, United States",
"city": "Portland",
"region": "OR",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-23T11:15:31.509Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Portland, OR, United States",
"city": "Portland",
"region": "OR",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": null,
"workplace_type": null,
"salary_currency": null
}Extensions
{}Native Structured
{
"id": "744000117022407",
"ref": "https://api.smartrecruiters.com/v1/companies/chabeztech/postings/744000117022407",
"name": "Machine Learning Engineer",
"uuid": "2d977c01-2fb9-41b9-8b71-58848fe87db5",
"detail": {
"id": "744000117022407",
"name": "Machine Learning Engineer",
"uuid": "2d977c01-2fb9-41b9-8b71-58848fe87db5",
"jobAd": {
"sections": {
"jobDescription": {
"text": "<p><strong>Job Title: Machine Learning Engineer<br>\nLocation: Portland, OR - Onsite (Local only / F2F interview)<br>\nDuration: 24 Months Contract</strong></p><p>Experience Level: 5+ years of experience</p><p>Required Qualifications<br>\n•    Bachelor’s or master’s degree in computer science, Machine Learning, Electrical Engineering, or related field <br>\n•    5+ years of experience in machine learning, data science, or AI engineering <br>\n•    Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) <br>\n•    Experience with time-series data analysis and anomaly detection <br>\n•    Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) <br>\n•    Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) <br>\n•    Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) <br>\n•    Experience deploying ML models in production systems <br>\n•    Strong problem-solving skills and ability to work with complex, real-world datasets</p><p>Preferred Qualifications<br>\n•    Experience with fault tree analysis (FTA), reliability engineering, or failure analysis <br>\n•    Background in industrial systems, semiconductors, manufacturing, or IoT environments <br>\n•    Experience with graph-based ML / Graph Neural Networks (GNNs) <br>\n•    Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams) <br>\n•    Experience with vector databases, RAG systems, or LLM-based reasoning <br>\n•    Knowledge of MLOps practices (CI/CD, monitoring, model governance) <br>\n•    Experience working in air-gapped or high-security environments <br>\n </p>",
"title": "Job Description"
},
"qualifications": {
"text": "",
"title": "Qualifications"
},
"companyDescription": {
"text": "",
"title": "Company Description"
},
"additionalInformation": {
"text": "<p>All your information will be kept confidential according to EEO guidelines.</p>",
"title": "Additional Information"
}
}
},
"jobId": "6de44988-5451-4e6a-90bb-f1903887c2f2",
"active": true,
"company": {
"name": "Chabez Tech",
"identifier": "ChabezTech"
},
"creator": {
"name": "",
"avatarUrl": ""
},
"jobAdId": "eab0dd2f-11f0-45b1-a4e9-fd9ef3c16c49",
"applyUrl": "https://jobs.smartrecruiters.com/ChabezTech/744000117022407-machine-learning-engineer?oga=true",
"function": {
"id": "information_technology",
"label": "Information Technology"
},
"industry": {
"id": "it_and_services",
"label": "Information Technology And Services"
},
"language": {
"code": "en",
"label": "English",
"labelNative": "English (US)"
},
"location": {
"city": "Portland",
"hybrid": false,
"region": "OR",
"remote": false,
"address": "Oregon 99E",
"country": "us",
"latitude": "45.5338875",
"longitude": "-122.6616703",
"fullLocation": "Portland, OR, United States"
},
"refNumber": "REF1015V",
"postingUrl": "https://jobs.smartrecruiters.com/ChabezTech/744000117022407-machine-learning-engineer",
"visibility": "PUBLIC",
"customField": [
{
"fieldId": "COUNTRY",
"valueId": "us",
"fieldLabel": "Country/Region",
"valueLabel": "United States"
},
{
"fieldId": "5a3840556d8bc5078b3c7328",
"valueId": "default",
"fieldLabel": "Brands",
"valueLabel": "Chabez Tech"
}
],
"referralUrl": "https://jobs.smartrecruiters.com/external-referrals/company/ChabezTech/publication/2d977c01-2fb9-41b9-8b71-58848fe87db5?dcr_ci=ChabezTech",
"defaultJobAd": true,
"releasedDate": "2026-03-26T16:36:05.011Z",
"experienceLevel": {
"id": "associate",
"label": "Associate"
},
"typeOfEmployment": {
"id": "contract",
"label": "Contract"
}
},
"company": {
"name": "Chabez Tech",
"identifier": "ChabezTech"
},
"jobAdId": "eab0dd2f-11f0-45b1-a4e9-fd9ef3c16c49",
"function": {
"id": "information_technology",
"label": "Information Technology"
},
"industry": {
"id": "it_and_services",
"label": "Information Technology And Services"
},
"language": {
"code": "en",
"label": "English",
"labelNative": "English (US)"
},
"location": {
"city": "Portland",
"hybrid": false,
"region": "OR",
"remote": false,
"address": "Oregon 99E",
"country": "us",
"latitude": "45.5338875",
"longitude": "-122.6616703",
"fullLocation": "Portland, OR, United States"
},
"refNumber": "REF1015V",
"department": {},
"visibility": "PUBLIC",
"customField": [
{
"fieldId": "COUNTRY",
"valueId": "us",
"fieldLabel": "Country/Region",
"valueLabel": "United States"
},
{
"fieldId": "5a3840556d8bc5078b3c7328",
"valueId": "default",
"fieldLabel": "Brands",
"valueLabel": "Chabez Tech"
}
],
"defaultJobAd": true,
"releasedDate": "2026-03-26T16:36:05.011Z",
"detail_errors": [],
"experienceLevel": {
"id": "associate",
"label": "Associate"
},
"typeOfEmployment": {
"id": "contract",
"label": "Contract"
}
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/8e3b0039388d18110e0908b7a29ceca8e4dd3dfc?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/970de453-b765-42cd-b20e-7007743fc1c0JSONGET https://api.bluedoor.sh/job-postings/v1/sources/ed8cbd39-e175-4739-b64d-b8ca8b44ea51JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/8e3b0039388d18110e0908b7a29ceca8e4dd3dfc/eventsJSON