Member of Technical Staff, Research Engineering, রিমোট পদ

পদটির নাম Member of Technical Staff, Research Engineering, নিয়োগকর্তা micro1। এটি নেতৃত্বের স্তরের পদ, অর্থাৎ একটি দল বা একটি গোটা বিভাগের দায়িত্ব। কাজটি আইটি ও প্রোগ্রামিং বিভাগের এবং পুরোপুরি রিমোট। প্রার্থী কোথায় থাকেন তা নিয়ে নিয়োগকর্তার কোনো শর্তই নেই, তাই আপনি যেখানে আছেন সেখান থেকেই আবেদন করতে পারেন।

নিয়োগকর্তা বেতন প্রকাশ করেছেন: $220k - $500k (বার্ষিক)। কাজের সময় নিয়ে বিজ্ঞাপনে কোনো শর্ত নেই।

এই পদটি একটি স্বয়ংক্রিয় যাচাই পেরিয়ে এসেছে: যেসব বিজ্ঞাপনে বিদেশি ওয়ার্ক পারমিট, ভিসা স্পনসরশিপ, নির্দিষ্ট নাগরিকত্ব বা নির্দিষ্ট কোনো দেশে বসবাস চাওয়া হয়, সেগুলো এই তালিকায় ওঠে না।

Job Title: Member of Technical Staff, Research Engineering Job Type: Full-time Location: Remote

The Role We are seeking a Research Engineer to operate at the frontier of Reinforcement Learning (RL), developing novel environments, training pipelines, and evaluation systems that advance the capabilities of modern AI models. This role sits at the intersection of research and production, translating experimental ideas into scalable, high-performance systems. What You’ll Work On

* Architect self-contained RL environments that capture complex, real-world tasks, including reward functions, verifiers, and evaluation logic.

* Design and scale episode pipelines and multi-component training processes (MCPs) to support reproducible experimentation.

* Build automated data generation systems, leveraging synthetic data to accelerate training cycles without compromising quality.

* Develop and integrate AI-driven evaluation and quality assurance systems for automated grading, validation, and feedback loops.

* Fine-tune and optimize open-source RL models using internally generated datasets and custom training strategies.

* Establish benchmarking frameworks to measure model capability, robustness, and data quality across tasks.

* Contribute to the release and analysis of evaluations on internal and external benchmark platforms (e.g., micro1 benchmarks).

What We're Looking For

* Deep experience in Reinforcement Learning, including environment design and training dynamics.

* Strong track record of building and scaling RL systems, pipelines, or experimentation frameworks.

* Proficient in automation and data generation, including synthetic data pipelines.

* Familiar with automated evaluation systems, model validation, and quality assurance workflows.

* Experienced in fine-tuning and evaluating open-source ML models.

* Clear, concise communicator with strong technical writing skills.

* Comfortable operating in fast-paced, research-driven, and highly collaborative environments.

Preferred

* Experience publishing benchmarks, evaluations, or research artifacts.

* Familiarity with evaluation ecosystems (e.g., micro1 benchmarks or similar frameworks).

* Background in scalable infrastructure for large-scale RL experimentation.

Compensation & Benefits Notice The national pay range for this full-time position is base salary of $140,000 -$180,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to . Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations. Originally posted on Himalayas