Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$100к-150к/год
$140к$180кмедиана$250к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $4.3к/мес ($3.6к - $5.6к)
55
Средняя вакансия
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Вакансия предлагает узкоспециализированный и интересный технический стек в области обучения с подкреплением, однако зарплата значительно ниже рыночной медианы для позиции уровня Senior в США.
AI Learning Systems Engineer (Reinforcement Learning/AI): Designing, training, and deploying reinforcement learning systems for sequential decision-making in real and simulated environments with an accent on reward modeling, scalable training infrastructure, and production safety. Focus on implementing modern RL, offline RL, RLHF, and DPO methods, evaluating policies under adversarial conditions, and monitoring deployed models for drift and unintended behavior.
Location: 100% remote within the Continental United States
Salary: $100K–$150K per year
Company
hirify.global is a software development company building scalable, secure, and user-friendly solutions that help businesses automate and optimize operations.
What you will do
Design, train, and deploy reinforcement learning systems for sequential decision-making in real and simulated environments.
Develop and maintain simulation environments, reward functions, shaping strategies, and large-scale experience collection systems.
Implement and evaluate policy-gradient, actor-critic, off-policy, offline RL, imitation learning, RLHF, and DPO techniques.
Build distributed RL training infrastructure, including experience collection, replay systems, GPU-cluster training, and sample-efficiency improvements.
Design evaluation protocols with out-of-distribution and adversarial test cases, plus safety mechanisms such as constraint enforcement and human oversight.
Monitor production policies and models for drift, regressions, and unintended behavior, and create alerting and dashboards to surface issues.
Requirements
Must work as a full-time W2 employee in the Continental United States.
No new H1B sponsorship is available; valid H1B visa holders requiring a transfer may apply.
Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent applied experience.
Six or more years of combined reinforcement learning research and engineering experience.
Strong proficiency in Python, modern deep learning frameworks, probability, optimization, and RL theory.
Hands-on experience with RL libraries or in-house RL stacks, simulation environments, reward tuning, GPU clusters, and shipping or publishing impactful RL work.
Nice to have
Experience with RLHF for large language models, multi-agent RL, or hierarchical RL.
Exposure to robotics, control systems, or autonomous driving.
Publications in reinforcement learning or related research venues.
Open-source contributions to RL libraries or environments.
Culture & Benefits
100% remote, full-time direct employment with hirify.global.
In-house Statement of Work engagement with no third-party client, vendor, or implementation partner.
Career growth opportunity within an established software development organization.
Equal opportunity workplace with an emphasis on diversity and inclusion.
Hiring process
A technical coding assessment is mandatory for every role.
Applicants should submit a resume for consideration.
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