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Electrical CSU Engineer
Bechtel Corporation
New Albany, OH
The Electrical Commissioning and Startup (CSU) Engineer will assist in the technical direction and oversight during the start-up, testing, and troubleshooting of high voltage, medium…
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Sr Solutions Data Engineer 11105
Randstad USA
Remote, United States
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Production Control Engineer II
Randstad USA
Getzville, NY
- $30.34 to $40.34 USD / hour
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Vernon Hills, IL
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Virtualization & Emulation Engineer
Trideum Corporation
Fort Belvoir, VA
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Software Integration & Middleware Engineer
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Engineering Applications Software Engineer l
California Institute Of Technology Jet Propulsion Laboratory
United States
The DSN Telemetry and Tracking Data Services group seeks an Engineering Applications Software Engineer I to support development of telemetry applications for the Deep Space Network (DSN)…
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Sr. Systems Engineer
x Varian Medical Systems, Inc.
United States
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Senior Cloud Security Engineer
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- $130,000 to $200,000 USD / year
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Software Engineer
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Senior Design Engineer
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Technical Lead Digital Design Engineer
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Staff Engineer, Application Security (Remote, US)
Everyday Electric
Remote, United States
…strategy across applications, cloud infrastructure, and AI systems. Identify our highest-impact risks and lead cross-functional initiatives to address…
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Sr. Software Development Engineer (Orlando, FL)
Philips
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We are seeking a Sr. Software Development Engineer to join our high-performing team and contribute to key projects in the Hospital Patient Monitoring domain.
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Spacecraft Engineer
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Engineer IV
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Added 7 mins ago
Specialist, Stress, Tools & Design Engineer
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Systems Engineer – Windows Management
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Sr. Security Engineer (Infrastructure)
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Business Integration Engineer
Victaulic Company
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Our sustainable solutions, made from high quality, graded scrap steel, promote circular construction by making piping systems infinitely reconfigured and minimizing environmental impact.…
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Sr. EHS Specialist
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United States
- $85,000 to $100,000 USD / year
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Added 10 mins ago
Mechanical Design Engineer
Wabtec
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The Mechanical Design Engineer will be responsible for design, development and industrialization of new products and performs conventional engineering assignments that may involve…
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Space Orbital Software Engineer, Emerging Talent
Anduril Industries
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As an Orbital Software Engineer on Space, you will contribute to the architecture and deployment of software solutions that support specific customer missions for on-orbit spacecraft…
Added 11 mins ago
Principal Software Engineer
Highmark Health
Remote, United States
The job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. The position…
Added 11 mins ago
Senior System Tests & Diagnostics Engineer
Graphcore
Austin, TX
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every…

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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