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Project Manager
Actalent
Sterling, VA
Review shop drawings and samples for compliance with contract documents and manage the architect submittal review process to avoid delays.
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Senior Growth Operations Manager
Chainguard
Remote, United States
…lead our most important operations initiatives end to end, architect the martech stack, and set the standards the rest of the team builds…
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Software Engineering IC6
Microsoft
WA · CA · TX · IL · NY · GA · Redmond, WA · Mountain View, CA · Austin, TX · Houston, TX · Chicago, IL · Atlanta, GA · Redmond · Mountain View · Austin · Houston · Chicago · New York · Atlanta
- $165,600 to $331,200 USD / year
Deliver end-to-end solutions: Architect and implement cloud and AI solutions - from prototype to production - using modern engineering practices (code reviews, testing, CI/CD,…
Added 2 mins ago
Cloud Systems Analyst
The Copper River Family of Companies
Dayton, OH
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Corporate Vice President - Google Cloud Lead Engineer (GCP)
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…competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business…
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Project Manager
Wember Inc.
Sheridan, WY
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Microsoft Dynamics Technical Lead
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…on selling Optiv security services and security technology solutions to a select few strategic accounts in Southern California. You’ll be responsible for owning and coordinating all aspects…
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Director, Program Management
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Urgent Hiring: Salesforce Architect – Genesys Cloud CX | Remote | Independent Visa
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Bright Vision Technologies

Autonomous Learning Engineer

Remote, United States

$130,000 to $180,000 USD / year

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Job details

Pay: $130,000 to $180,000 USD / year
Apply by: Jan 31, 2027
Posting language: English
Posted: Nov 2, 2026

Original job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title Autonomous Learning Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually Experience Required: 10+ Years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary Bright Vision Technologies is seeking a highly experienced Autonomous Learning Engineer with 10+ years of experience in Artificial Intelligence, Reinforcement Learning (RL), and Deep Learning to design, train, and deploy intelligent decision-making systems for complex real-world applications. The ideal candidate will possess deep expertise in Python, reinforcement learning, deep learning, simulation environments, distributed training, and RLHF (Reinforcement Learning from Human Feedback) while driving the architecture and deployment of scalable, production-ready autonomous learning solutions.

Key Responsibilities

Design, develop, and deploy advanced reinforcement learning solutions for complex decision-making and autonomous systems.
Architect scalable reinforcement learning training pipelines using distributed computing and GPU-accelerated infrastructure.
Design, build, and optimize simulation environments for training and validating reinforcement learning agents.
Develop, implement, and evaluate modern RL algorithms, reward models, and policy optimization techniques.
Build autonomous learning systems leveraging RLHF, imitation learning, offline reinforcement learning, and multi-agent learning approaches.
Improve model convergence, sample efficiency, training stability, inference performance, and production scalability.
Integrate reinforcement learning models into production applications while ensuring reliability, safety, monitoring, and continuous improvement.
Collaborate with AI researchers, data scientists, software engineers, and product teams to deliver enterprise-scale AI solutions.
Mentor engineers and provide technical leadership on reinforcement learning architecture, experimentation, and engineering best practices.
Evaluate emerging reinforcement learning frameworks, algorithms, and research to drive continuous innovation.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Mathematics, or a related technical discipline.
10+ years of professional experience in Artificial Intelligence, Machine Learning, Deep Learning, or Reinforcement Learning.
Expert-level programming skills in Python and extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Strong experience with reinforcement learning libraries such as Ray RLlib, Stable-Baselines3, CleanRL, or Acme.
Hands-on experience developing simulation environments using tools such as Gymnasium/OpenAI Gym, Isaac Sim, MuJoCo, Unity ML-Agents, or NVIDIA Omniverse.
Experience with distributed training, GPU acceleration, model optimization, and large-scale AI infrastructure.
Strong understanding of reinforcement learning theory, optimization, probability, stochastic processes, and decision-making algorithms.
Experience deploying AI solutions on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Excellent analytical, communication, collaboration, and technical leadership skills.

Preferred Qualifications

Experience with RLHF, multi-agent reinforcement learning, robotics, autonomous systems, or control systems.
Hands-on experience with foundation models, LLM alignment, agentic AI, or autonomous AI agents.
Experience with MLOps, Kubernetes, Docker, CI/CD pipelines, and production AI deployment.
Publications in top AI conferences, open-source contributions, patents, or recognized technical leadership in reinforcement learning.
Knowledge of Responsible AI, AI safety, model governance, explainability, and regulatory compliance.
Ph.D. or Master's degree specializing in Artificial Intelligence, Machine Learning, Reinforcement Learning, Robotics, or Control Systems.

Interested in this opportunity? Apply today for immediate consideration! Email your updated resume: jaya@bvteck.com Call or Text: (908) 505-3545 Learn more: www.bvteck.com Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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