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Onos Health
Onos Health
11 – 50 Darbinieki
Mākslīgais intelektsVeselības apdrošināšanaVeselības aprūpe
Onos Health izstrādā mākslīgajā intelektā balstītu klīnisko intelektuālās analīzes risinājumu uzvedības veselības aprūpes pakalpojumu maksātājiem. Tās platforma strukturēti neorganizētus klīniskos dokumentus, tostarp sesiju piezīmes, ārstēšanas plānus un novērtējumus, pārvērš atziņās, kas atbalsta klīnisko kvalitāti, pakalpojumu izmantošanas pārvaldību, programmu integritāti un pakalpojumu sniedzēju tīkla pārvaldību. Uzņēmuma risinājumi aptver uzvedības veselības aprūpi dažādos aprūpes līmeņos, piemēram, lietišķo uzvedības analīzi (ABA), vielu lietošanas traucējumu ārstēšanu, vieglus līdz vidēji smagus garīgās veselības traucējumus un smagas psihiskās slimības. Tie paredzēti stacionārai, rezidenciālai, PHP/IOP un ambulatorai aprūpei. Onos Health apvieno maksātājiem pielāgotu ieviešanu, uzņēmuma līmeņa drošību un atbildīgas mākslīgā intelekta izmantošanas praksi. Tās komanda darbojas veselības aprūpes, veselības apdrošināšanas un mākslīgā intelekta saskares punktā.
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Vakances uzņēmumā

Staff AI Software Engineer at Onos Health

Lead AI engineering for Onos Health’s healthcare data platform by building LLM systems, clinical assessment models, scalable pipelines, and explainable recommendations.

USAmerikas Savienotās ValstisCAKalifornija
200 000 $ – 275 000 $ / gads
HibrīdiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
AWSDjangoDockerPostgresPython

Apraksts

  • Create LLM and natural language understanding systems that process and extract insights from clinical notes and medical documents
  • Classify patients against level-of-care guidelines and produce accurate recommendations
  • Define engineering practices for LLM and AI systems, evaluation and benchmarking frameworks, and model governance
  • Develop scalable data pipelines that uphold rigorous privacy and security requirements
  • Partner with backend engineers to integrate AI and machine learning capabilities into the Onos platform
  • Build and operate AI and data pipelines that analyze medical records and improve clinical assessments and healthcare quality reviews
  • Evaluate LLM performance in extracting evidence from medical records and assigning level-of-care recommendations
  • Develop and refine systems that ingest medical standards-of-care documents and assess provider adherence to guidelines
  • Create explainable AI solutions that clarify model decisions for healthcare professionals
  • Own a substantial area of the Onos platform while contributing across backend and data engineering as an early team member

Prasības

  • At least five years of experience building and deploying production applications in backend or data engineering roles
  • Experience developing LLM-based systems that ingest and evaluate unstructured, industry-specific records and connect to user-facing features
  • Strong understanding of LLM limitations and techniques for producing reliable, consistent, and accurate outputs
  • Customer-focused mindset with motivation to build a high-quality behavioral health clinical assessment model
  • Collaborative approach with an emphasis on delivering measurable outcomes
  • Hands-on experience using medical records to determine whether patient histories satisfy evaluation or assessment criteria, such as claims authorization
  • Background as a generalist backend engineer who can work across multiple responsibilities
  • Experience building data pipelines with Python and related data science or machine learning libraries
  • Substantial experience handling healthcare data and applying HIPAA best practices
  • Knowledge of current LLM and machine learning infrastructure and MLOps practices
  • Experience with AWS services including ECS, Bedrock, and Cognito
  • Experience using Docker
  • Experience with GitHub Actions
  • Experience with Python, Django, Celery, django-ninja, and django-tenants
  • Experience with PostgreSQL on AWS RDS and S3
  • Familiarity with GitHub, Jira, CodeRabbitAI, Tusk, and Claude
  • ],

Priekšrocības

  • Flexible hybrid schedule with two to three days per week in the San Francisco Financial District office and a remote-first culture
  • Unlimited vacation
  • Paid parental leave
  • Medical, dental, and vision insurance
  • Pre-tax commuter benefits
  • 401(k) plan
  • Meaningful equity for an early employee
  • Direct mentorship from experienced founders
  • Opportunity to help shape the team and company culture from an early stage
  • Regular team events and offsites
  • Company-provided equipment and home office setup

Saistītās vakances

Kreato Global | BPO and Language Solutions

Remote English-Spanish OPI/VRI Interpreter

Kreato Global | BPO and Language Solutions
201 – 500 Darbinieki
LoģistikaVeselības aprūpeViesmīlība
ARArgentīnaBOBolīvijaBRBrazīlijaCLČīleCOKolumbijaCRKostarikaCUKubaDODominikānaECEkvadoraGTGvatemalaHNHondurasaHTHaitiMXMeksikaNINikaragvaPAPanamaPEPeruPRPuertorikoPYParagvajaSVSalvadoraUYUrugvajaVEVenecuēlaAttālinātiPilna slodzeJaunākais speciālistsGrāds nav nepieciešamsNepieciešamā Valoda: angļuNepieciešamā Valoda: spāņuTulkotājs

Interpret remotely between English- and Spanish-speaking people in medical, financial, social service, and customer care settings. Provide language support for Kreato Global across Latin America.

Atvērt
RecruitGo

Remote Executive Assistant, Outreach and Marketing — Philippines

RecruitGo
51 – 200 Darbinieki
KonsultācijasLoģistikaMārketings
PHFilipīnas
45 000 ₱ / mēnesis
AttālinātiPilna slodzeJaunākais speciālistsVidējais līmenisGrāds nav nepieciešamsNepieciešamā Valoda: angļuVadības asistents

Handle administrative support, CRM, outreach, and marketing for RecruitGo, an Employer of Record serving global clients with talent from emerging markets. Support two UK-facing clients with day-to-day administration and creative campaigns.

Atvērt