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HomeCompaniesAledadeStaff AI Researcher

Staff AI Researcher

Aledade · Remote, United States · Remote · Deleted · $215,000–$230,000 / year · Lever

Job facts

FieldValue
CompanyAledade
TitleStaff AI Researcher
Normalized title-
Department / teamTechnology / Engineering
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary$215,000–$230,000 / year
Statusdeleted
ATS providerLever
Posted / first seen2026-05-26 / 2026-05-29
Changed / last seen2026-06-04 / 2026-06-02

Related slices

PageWhat it containsOpen
Company jobsActive postings from Aledade.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Technology.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAledade
Sourcefe4f66b3-c924-4ad2-a8e1-3187cb01e2e4
ATS providerLever

Description

Job Duties/Description: The Staff AI Researcher is responsible for developing advanced artificial intelligence solutions that improve health outcomes for millions of patients by empowering primary care physicians with technology that keeps patients healthy and prevents unnecessary hospitalizations. The Staff AI Researcher collaborates with engineering and analytics teams to bring AI technologies into existing products and workflows. Additionally, the role involves training, fine-tuning, and using AI models harnessing knowledge from extensive data sets of medical records, diagnoses, claims, and prescriptions collected from millions of patients across the country. Primary duties include building working prototypes using off-the-shelf and novel AI techniques to deliver higher levels of optimization for the company; working with large, complex data sets and solving difficult, non-routine analytical problems to harvest data; redesigning existing pipelines and systems to meet growing data and query needs; implementing techniques for fine-tuning and adapting pre- trained generative models to specific healthcare domains or tasks; developing evaluation metrics and benchmarks to assess the quality and performance of AI/ML models; designing and implementing feature engineering pipelines, including data processing, feature extraction, and transformation to optimize model performance; setting and upholding standards for engineering processes, including style and code checking, test harnesses, and release packaging; and delivering working proof-of-concept solutions that balance speed, scalability, and time-to-market considerations. This is a remote work position. Multiple positions are available. Who We Are: Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of health plans, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission. In addition to time off to support work-life balance and enjoyment, we offer the following comprehensive benefits package designed for the overall well-being of our team members: Flexible work schedules and the ability to work remotely are available for many roles Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners Robust time-off plan (21 days of PTO in your first year) Two paid volunteer days and 11 paid holidays 12 weeks paid parental leave for all new parents Six weeks paid sabbatical after six years of service Educational Assistant Program and Clinical Employee Reimbursement Program 401(k) with up to 4% match Stock options And much more! At Aledade, we don’t just accept differences, we celebrate them! We strive to attract, develop and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation. Privacy Policy: By applying for this job, you agree to Aledade's Applicant Privacy Policy available at  https://www.aledade.com/privacy-policy-applicants Minimum Requirements Must have a Master’s degree or foreign degree equivalent in Computer Science or a related quantitative field and six (6) years of machine learning and statistical analysis experience. The position also requires demonstrated knowledge and experience with the following: three (3) years of deep learning and large language model experience; three (3) years of Python experience; three (3) years of proficiency in selecting the right tools given a data optimization problem; addressing challenges from incomplete, unrepresentative, and mislabeled data; and large-scale distributed systems at scale and statistical software (e.g., Spark). This is a remote work position.

Full job record

Job ID30fcf74e9a95c398d7ca53fe40291e08acd82899
Org IDe0fddd44-3539-4af5-9670-79f85aabebd1
Source IDfe4f66b3-c924-4ad2-a8e1-3187cb01e2e4
Board IDfe4f66b3-c924-4ad2-a8e1-3187cb01e2e4
Providerlever
Provider Job Key6fd40837-f0c2-4e8a-b22c-ae94e9145732
TitleStaff AI Researcher
Normalized Title
Statusdeleted
Activeno
Location TextRemote, United States
DepartmentTechnology
TeamEngineering
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary RawUSD 215000-230000 per-year-salary
Salary Min215,000
Salary Max230,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/aledade/6fd40837-f0c2-4e8a-b22c-ae94e9145732
Apply URLhttps://jobs.lever.co/aledade/6fd40837-f0c2-4e8a-b22c-ae94e9145732/apply
First Seen At2026-05-29 07:01:55Z
Last Seen At2026-06-02 10:47:21Z
Last Checked At2026-06-04 11:37:54Z
Last Changed At2026-06-04 11:37:54Z
Inactive At2026-06-04 11:37:54Z
Source Posted At2026-05-26 19:34:30Z
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=lever/board=aledade/date=2026-06-02/2026-06-02T10-47-20-713Z-455dda905c13405bd9d912d8fbba33ab02a4e113d3367528fd7eb2d3d9bd74d6.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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  "country": "US",
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