Senior Decision Intelligence Engineer – NBA

🕒 Agosto 6

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $106.900 - $147.000 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 0%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Humana

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1961

🏥 Saúde

🛡️ Seguros

⚕️ Seguro de Saúde

Healthcare • Insurance • Healthcare Insurance

A Humana é uma empresa de saúde dedicada a gerar um impacto positivo na saúde de indivíduos, comunidades e do sistema de saúde como um todo. Com foco em colocar a saúde em primeiro lugar, a Humana atende a uma ampla e diversa gama de populações, incluindo idosos e militares, oferecendo planos Medicare Advantage (HMO, PPO e PFFS). A Humana está comprometida em promover uma cultura de pertencimento e respeito mútuo, oferecendo benefícios competitivos e flexíveis para garantir a segurança financeira de seus funcionários e de suas famílias. A empresa se orgulha de criar um ambiente de trabalho inclusivo, no qual todos têm a oportunidade de ter sucesso.

Descrição

• Design, train, and improve the reinforcement learning policy powering Humana's Next Best Action platform • Design and evaluate decision-making algorithms • Instrument training pipelines • Collaborate with data and platform engineers • Ensure systems operate within clinical eligibility rules and program-specific objectives • Participate in all stages of software development, including front-end, back-end, database integrations, network and hosting management, user interface, user experience, and server management • Diagnose failure modes in learned or optimized policies • Build and operate large-scale production systems serving millions of users • Implement reinforcement learning, operations research methods, or simulation-driven decision systems in production • Develop large-scale ML and data pipelines • Track experiments, manage models, and manage artifacts with MLflow • Ship systems that operate reliably under production load • Work independently on moderately complex to complex technical decisions and influence department strategy • Attend occasional training, meetings, or conferences as required

🎯 Requisitos

• 5+ years of post-undergraduate software engineering or quantitative research experience building and operating large-scale production systems • 2+ years of post-graduate software engineering or quantitative research experience building and operating large-scale production systems • 2+ years of hands-on experience implementing reinforcement learning, operations research methods, or simulation-driven decision systems in production • Experience with data-intensive platforms, recommendation systems, optimization engines, or simulation frameworks serving millions of users • Knowledge of policy-gradient and value-based reinforcement learning, including PPO, A3C, DQN, and CQL • Knowledge of stochastic dynamic programming, discrete-event simulation, or large-scale combinatorial or constrained optimization • Deep familiarity with Markov Decision Processes, Bellman-equation-based value estimation, reward/objective shaping, exploration-exploitation tradeoffs, and constraint formulation • Ability to diagnose policy failure modes, including instability, poor long-horizon credit assignment, and distributional shift • Proficiency in Python 3.x • Experience with PyTorch or TensorFlow • Experience with Ray RLlib or equivalent distributed computation frameworks • Experience with Databricks, PySpark, and Delta Lake for large-scale ML or data pipelines • Experience with MLflow for experiment tracking, model registry, and artifact management • Experience shipping reliable production-load systems, beyond research or prototype work • Preferred: experience with multi-agent RL frameworks such as PettingZoo • Preferred: familiarity with linear programming, mixed-integer programming, Lagrangian relaxation, or constraint programming • Preferred: experience in regulated domains such as healthcare, finance, or insurance • Preferred: experience with Gymnasium, SimPy, AnyLogic, or equivalent simulation frameworks • Preferred: familiarity with event-driven feedback loops and retraining or re-optimization pipelines • Preferred: OpenTelemetry instrumentation experience • Ability to provide a high-speed DSL or cable modem for a home office, with minimum 25 Mbps download and 10 Mbps upload • Satellite and wireless internet service is not allowed • Dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information

🏖️ Benefícios

• Bonus incentive plan based upon company and/or individual performance • Medical benefits • Dental benefits • Vision benefits • 401(k) retirement savings plan • Paid time off • Company holidays • Personal holidays • Paid parental leave • Paid caregiver leave • Short-term disability • Long-term disability • Life insurance • High-speed internet requirement/support; California home-based associates are provided payment for internet expense • Remote work arrangement • Occasional travel to Humana offices or Tech Hubs for training or meetings • Professional development/training opportunities