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Wonderlic
Wonderlic
51 – 200 Darbuotojai
ĮmonėŽmogiškųjų išteklių technologijos
Wonderlic develops pre-hire assessment and employee development tools for businesses. Its Wonderlic Select and Wonderlic Develop products provide role-specific insights into cognitive ability, personality, and motivation to support hiring decisions and employee growth. The platform serves HR teams, managers, employees, and candidates across the employee journey, with tools designed to support fairer talent assessment and development.
LinkedIn
Darbai įmonėje

Senior Research Scientist, AI and Workforce Intelligence

Advance Wonderlic’s AI Jobs Engine and workforce assessments by applying industrial-organizational psychology, NLP, and machine learning to produce defensible employment insights.

USJungtinės Valstijos
130 000 $ – 150 000 $ / metai
NuotolinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDirbtinio intelekto tyrimų mokslininkasMašininio mokymosi inžinierius

Aprašymas

  • Lead the design, integrity, and ongoing development of Wonderlic’s AI job analysis system.
  • Combine labor market data from O*NET, LinkedIn, Indeed, and other sources to analyze jobs at scale.
  • Develop and improve models that infer job content from unstructured text.
  • Use and extend occupational taxonomies such as O*NET and ESCO.
  • Keep system outputs scientifically defensible and scalable as work changes.
  • Work with product managers, engineers, and I-O psychologists to turn scientific needs into AI systems.
  • Advise on AI methods for interpreting assessments, producing manager and team reports, and creating coaching content.
  • Help colleagues understand machine learning and AI capabilities and limitations in assessment and organizational settings.
  • Support Wonderlic’s external scientific credibility.
  • Apply I-O psychology principles, including adverse impact, norm group construction, and evidence-based evaluation.
  • Ensure AI products meet professional and legal standards for selection and development tools.
  • Build partnerships across I-O and Product teams and set a roadmap for AI integration.
  • Improve the Jobs Engine’s reach, accuracy, coverage, and inference quality.
  • Help create new assessments that use emerging technologies for richer, more secure evaluation.

Reikalavimai

  • Graduate degree in I-O Psychology, Organizational Psychology, Organizational Development, or a closely related field; a quantitative focus is strongly preferred.
  • Demonstrated experience engineering and shipping production-grade machine learning systems, beyond research or coursework.
  • Experience applying modern NLP methods to behavioral, assessment, or labor market data.
  • A record of technically sound work that meets legal and professional standards.
  • At least three years of applied industry experience.
  • Applied NLP and ML engineering skills, including embeddings, semantic search, clustering, text classification, transformer architectures, model tuning, and evaluation.
  • Knowledge of occupational data modeling, including job titles, task statements, skills, competencies, credentials, job families, seniority levels, title normalization, job similarity, role differentiation, O*NET, and ESCO.
  • Sound judgment on responsible AI in employment, including fairness, explainability, auditability, bias mitigation, human review, and legal and ethical considerations.
  • Generative AI evaluation skills, including rubric-based review, groundedness checks, error analysis, regression testing, and LLM output assessment.
  • Product judgment for applied machine learning systems.
  • Working knowledge of assessment and I-O concepts, including job relatedness, criterion relationships, adverse impact, norm groups, assessment profiles, and score interpretation.
  • Ability to take ownership of ambiguous, complex problems.
  • Experience combining I-O science and algorithmic fairness is strongly preferred.
  • Familiarity with occupational taxonomies, vocational interests, or cognitive ability frameworks is a significant plus.

Privalumai

  • Full-time schedule of 32 hours over four days.
  • Generous paid time off.
  • Paid holidays.
  • Paid company closure from December 24 through January 1.
  • Medical coverage.
  • Dental coverage.
  • Vision coverage.
  • 401(k) plan with company matching.
  • Ten weeks of paid leave for new parents.
  • Dedicated wellness benefit.
  • Remote work from anywhere in the United States.

Susiję darbai

CrowdStrike

Threat Analyst, Machine Learning Detection Efficacy

CrowdStrike
5 001 – 10 000 Darbuotojai
H1B vizos rėmėjasDirbtinis intelektasKibernetinis saugumasSaaS
USJungtinės ValstijosWAVašingtonas
100 000 $ – 145 000 $ / metai
NuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųMašininio mokymosi inžinierius
AsemblerisC++JavaLinuxmacOSPython

Assess malware and customer detection reports to help improve CrowdStrike’s machine learning detections. Support false-positive management and share efficacy findings with internal teams.

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Remote Data Annotation Specialist, Object Detection — United States

Volga Partners
1 001 – 5 000 Darbuotojai
H1B vizos rėmėjasB2BDirbtinis intelektasĮmonė
USJungtinės Valstijos
14 $ – 15 $ / valanda
NuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųKompiuterinės regos inžinieriusMašininio mokymosi inžinierius

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Parallel Partners

Machine Learning Engineer, Ranking and Retrieval

Parallel Partners
1 – 10 Darbuotojai
B2BFintech
MLMalisUSJungtinės ValstijosCAKalifornija
120 000 $ – 160 000 $ / metai
NuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųMašininio mokymosi inžinierius
PythonPyTorch

Build production machine learning systems for ranking, retrieval, classification, and personalization. Improve search relevance, model quality, and the reliability of AI applications.

Atidaryti