Member of Technical Staff, Research Engineering

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This is a fully remote position open to candidates based in Canada.

Pay: $400000$800000/yr

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 Youll Work On

1. Architect self-contained RL environments that capture complex real-world tasks including reward functions verifiers and evaluation logic.
2. Design and scale episode pipelines and multi-component training processes (MCPs) to support reproducible experimentation.
3. Build automated data generation systems leveraging synthetic data to accelerate training cycles without compromising quality.
4. Develop and integrate AI-driven evaluation and quality assurance systems for automated grading validation and feedback loops.
5. Fine-tune and optimize open-source RL models using internally generated datasets and custom training strategies.
6. Establish benchmarking frameworks to measure model capability robustness and data quality across tasks.
7. Contribute to the release and analysis of evaluations on internal and external benchmark platforms (e.g. the company benchmarks).

What Were Looking For

1. Deep experience in Reinforcement Learning including environment design and training dynamics.
2. Strong track record of building and scaling RL systems pipelines or experimentation frameworks.
3. Proficient in automation and data generation including synthetic data pipelines.
4. Familiar with automated evaluation systems model validation and quality assurance workflows.
5. Experienced in fine-tuning and evaluating open-source ML models.
6. Clear concise communicator with strong technical writing skills.
7. Comfortable operating in fast-paced research-driven and highly collaborative environments.

Preferred

1. Experience publishing benchmarks evaluations or research artifacts.
2. Familiarity with evaluation ecosystems (e.g. the company benchmarks or similar frameworks).
3. 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 $200000 $300000 USD. All employees are eligible for equity compensation and employees may also receive performance-based bonuses dependent on role and subject to company policies. The company 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.

the company 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 us by replying to our email.

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. the company 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.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.