Home › Companies › Lessen › Machine Learning Engineer II
Machine Learning Engineer II
Lessen · Chicago, IL · Hybrid · Deleted · Lever
Job facts
| Field | Value |
|---|---|
| Company | Lessen |
| Title | Machine Learning Engineer II |
| Normalized title | - |
| Department / team | Technology / Engineering |
| Location | Chicago, IL, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time Employee |
| Salary | - |
| Status | deleted |
| ATS provider | Lever |
| Posted / first seen | 2026-05-30 / 2026-05-30 |
| Changed / last seen | 2026-06-03 / 2026-06-01 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Lessen. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Chicago. | Open |
| Department jobs | Active postings in Technology. | Open |
| Work model jobs | Active Hybrid postings. | 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 | Lessen |
| Source | 8edfebba-2e55-45ea-aa64-1de2fd9b6033 |
| ATS provider | Lever |
Description
Lessen is the tech-enabled, end-to-end property service provider that is transforming how commercial and residential real estate services are delivered and managed at scale. Lessen’s technology platform provides data-driven insights that unlock key growth opportunities for the entire real estate ecosystem—including investors, owners, managers, and service providers. The company leverages a network of over 30,000 vetted, qualified vendors (Lessen Affiliates) serving clients with over 1 million properties and completing more than 3.5 million work orders annually across an expanding range of services. Lessen, LLC is a venture-backed, privately held company with offices in Scottsdale and Chicago.
Why Lessen:
· Competitive compensation
· Health, Dental, Vision, Life, Disability options
· 401K retirement savings plan
· Paid vacation, federal and floating holidays
· Maternity/Paternity Pay
· Career advancement opportunities
· All the tools you'll need to be successful
Lessen is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. We’re looking for teammates that are enthusiastic, empathetic, curious, motivated, reliable, and will help us amplify the positive & inclusive culture we’ve been building. Lessen is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
What You'll Do:
Design, deploy, fine-tune, and evaluate large language models (LLMs); develop effective prompting strategies to optimize performance for various business use cases.
Improve data quality by cleaning the company’s data and sourcing information from new data sources.
Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools.
Translate business problems into scalable AI/ML solutions, particularly using LLMs, in areas
such as copilot systems, intelligent voice assistants, and work order processing optimization.
Collaborate cross-functionally with teams to develop, refine, and scale data-driven procedures and workflows.
Foster a positive team environment.
Ensure confidentiality and integrity of internal and external data.
Perform ad-hoc projects and other duties as assigned.
You Should Have:
Minimum Qualifications
PhD or Master’s degree in Math, Physics, Statistics, Computer Science, or other related fields
1-3 years of experience as a data scientist, working closely within a business
Strong mathematical and statistical skills
Programming Languages: SQL, Python
Understanding of ETL tools and database architecture
Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP
Prompt engineering experience
Experience using a machine learning framework e.g. scikit-learn, pytorch or similar
Experience with a statistical software (e.g. R, SAS)
Experience with natural language processing
Advanced knowledge of Data Warehousing and BI best practices
Experience with big data tools such as Spark, Hadoop, etc.
Experience with Tableau or Superset
These are the professional skills we would expect from an individual fully established in this role.
Verbal Communication – Proficient
Written Communication – Proficient
Teamwork – Advanced
Relationships – Advanced
Organizational Awareness – Advanced
Learning Agility – Advanced
Analysis – Advanced
Problem Solving – Advanced
Process Orientation – Advanced
Prioritization – Advanced
Customer Service – Proficient
Process Orientation – Advanced
Negotiation - Advanced
Full job record
| Job ID | 659d502005a368b6c023d7874564ad587a59143c |
| Org ID | e1e48913-b5e7-4ca7-b028-1eef047b5e0b |
| Source ID | 8edfebba-2e55-45ea-aa64-1de2fd9b6033 |
| Board ID | 8edfebba-2e55-45ea-aa64-1de2fd9b6033 |
| Provider | lever |
| Provider Job Key | 7e37348a-54fc-4e5b-942d-216a0673f7dc |
| Title | Machine Learning Engineer II |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Chicago, IL |
| Department | Technology |
| Team | Engineering |
| Employment Type | Full Time Employee |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | IL |
| City | Chicago |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.lever.co/lessen/7e37348a-54fc-4e5b-942d-216a0673f7dc |
| Apply URL | https://jobs.lever.co/lessen/7e37348a-54fc-4e5b-942d-216a0673f7dc/apply |
| First Seen At | 2026-05-30 07:36:52Z |
| Last Seen At | 2026-06-01 11:00:16Z |
| Last Checked At | 2026-06-03 12:31:34Z |
| Last Changed At | 2026-06-03 12:31:34Z |
| Inactive At | 2026-06-03 12:31:34Z |
| Source Posted At | 2026-05-30 00:25:57Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=lever/board=lessen/date=2026-06-01/2026-06-01T11-00-15-516Z-e569091349f2b63de68bab2653b154f6674a9ead2368e9589a358c3a728a8c5d.json |
Event Fields
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"source_hash": "f7a74588aad237b9241cc8558711de246a1b2168b07f74cd06ce50dd7c52a329",
"last_changed_at": "2026-06-03T12:31:34.474Z",
"active_status": "deleted"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Chicago, IL",
"city": "Chicago",
"region": "IL",
"country": "United States",
"is_remote": false,
"confidence": 0.9
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"salary_max": null,
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"inferred_at": "2026-06-01T11:00:16.047Z",
"launch_scope": {
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"included": true,
"language": "en",
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"city": "Chicago",
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"confidence": 0.9
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{}Native Structured
{
"lists": [
{
"text": "What You'll Do:",
"content": "<div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Design, deploy, fine-tune, and evaluate large language models (LLMs); develop effective prompting strategies to optimize performance for various business use cases.</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"2\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Improve data quality by cleaning the company’s data and sourcing information from new data sources.</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"3\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools.</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"4\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Translate business problems into scalable AI/ML solutions, particularly using LLMs, in areas</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"5\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">such as copilot systems, intelligent voice assistants, and work order processing optimization.</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"6\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Collaborate cross-functionally with teams to develop, refine, and scale data-driven procedures and workflows.</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"7\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Foster a positive team environment.</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"8\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Ensure confidentiality and integrity of internal and external data.</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"9\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Perform ad-hoc projects and other duties as assigned.</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n</div>"
},
{
"text": "You Should Have:",
"content": "<div> </div>\n<div>\n<div>\n<div><span data-contrast=\"none\">Minimum Qualifications</span><span data-ccp-props=\"{"335559685":270,"335559731":270,"469777462":[360,540],"469777927":[0,0],"469777928":[1,1]}\"> </span></div>\n</div>\n<div> </div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">PhD or Master’s degree in Math, Physics, Statistics, Computer Science, or other related fields</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"2\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">1-3 years of experience as a data scientist, working closely within a business</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"3\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Strong mathematical and statistical skills</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"4\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Programming Languages: SQL, Python</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"5\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Understanding of ETL tools and database architecture</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n</div>\n<div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"6\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"7\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Prompt engineering experience</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"8\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Experience using a machine learning framework e.g. scikit-learn, pytorch or similar</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"9\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Experience with a statistical software (e.g. R, SAS)</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"10\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Experience with natural language processing</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"11\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Advanced knowledge of Data Warehousing and BI best practices</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"12\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Experience with big data tools such as Spark, Hadoop, etc.</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"13\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Experience with Tableau or Superset </span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n<div>\n<div>\n<p><span data-contrast=\"auto\">These are the professional skills we would expect from an individual fully established in this role. </span><span data-ccp-props=\"{"335559685":270,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</div>\n<div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Verbal Communication – Proficient </span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"2\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Written Communication – Proficient </span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"3\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Teamwork – Advanced</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"4\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Relationships – Advanced</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"5\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Organizational Awareness – Advanced</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"6\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Learning Agility – Advanced </span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"7\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Analysis – Advanced </span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"8\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Problem Solving – Advanced </span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"9\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Process Orientation – Advanced</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"10\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Prioritization – Advanced</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"11\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Customer Service – Proficient</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"12\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Process Orientation – Advanced</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n<div>\n<ul role=\"list\" style=\"list-style-type: disc;\">\n<li aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":990,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"13\" data-aria-level=\"1\" role=\"listitem\">\n<p><span data-contrast=\"auto\">Negotiation - Advanced</span><span data-ccp-props=\"{"201341983":0,"335559739":200,"335559740":276,"469777462":[360],"469777927":[0],"469777928":[1]}\"> </span></p>\n</li>\n\n</ul></div>\n</div>\n</div>\n</ul></div>\n</div>"
}
],
"country": "US",
"createdAt": 1780100757190,
"updatedAt": null,
"categories": {
"team": "Engineering",
"location": "Chicago, IL",
"commitment": "Full Time Employee",
"department": "Technology",
"allLocations": [
"Chicago, IL"
]
},
"salaryRange": null,
"workplaceType": "hybrid"
}Get this page with API
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