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Autonomous Learning Engineer

Remote, United States remote Entry $100,000 - $150,000
remote Technology & IT Salary listed Curated
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About the role

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: $100,000–$150,000 Annually
Experience Required: 6+ 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:
We are seeking an Autonomous Learning Engineer to design, train, and deploy reinforcement learning (RL) solutions for complex decision-making systems. The ideal candidate will have expertise in Python, deep learning, reinforcement learning, simulation environments, RLHF, and distributed training, with experience building scalable, production-ready AI solutions.
Key Responsibilities:

Design and implement reinforcement learning solutions for real-world applications.

Develop and optimize simulation environments and RL training pipelines.

Implement and evaluate modern RL algorithms and reward models.

Improve model performance, training stability, and sample efficiency.

Collaborate with AI and product teams to deploy production-ready RL solutions.

Monitor deployed models and ensure reliability, safety, and continuous improvement.

Required Qualifications:

6+ years of experience in reinforcement learning research and engineering.

Strong proficiency in Python and modern deep learning frameworks.

Experience with RL libraries, simulation environments, GPU-based training, and distributed learning.

Strong understanding of reinforcement learning, optimization, and probability.

Preferred Qualifications:

Experience with RLHF, multi-agent RL, robotics, autonomous systems, or control systems.

Publications or open-source contributions in reinforcement learning.

Interested in this opportunity? Apply today for immediate consideration!
Email your updated resume:
Call or Text: (908) 505-3545
Learn more:
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.
Originally posted on Himalayas

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Role
Technology & IT Human Resources Python Remote Collaboration Autonomous Learning remote

Likely questions

  1. Tell us about work you have done that is close to the Autonomous Learning Engineer role.
  2. How would you approach your first 30 days at name?
  3. Which of Human Resources, Python and Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Human Resources, Python and Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Autonomous Learning Engineer role because I can bring practical experience in Human Resources, Python and Remote Collaboration, learn the team quickly, and contribute to the outcomes name needs from this hire.

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