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Member of technical staff (Product engineering)

About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.

H is hiring the world’s best AI engineers and researchers, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning and collaboration, where everyone has something to contribute.

Holistic, Humanist, Humble.


About the Team: The Product Engineering Team is committed to ensuring the successful implementation of our Agents platform for Web Automation. The platform will empower a wide range of professionals, from Web Testing engineers, who ensure websites behave as intended, to automation professionals, who automate data collection and interactions on complex websites

Key Responsibilities:

  • Setting up robust data collection pipelines

  • Iterating on evaluation metrics that properly reflect the performance of Web - Agents on real use cases

  • Developing infrastructure to easily evaluate Agents

  • Review state-of-the-art papers to improve Agent performance (e.g. Chain of Thought, reflection, test-time compute optimization, memory, etc.)

  • Prioritize and implement state-of-the-art techniques

  • Review the performance of Agents in production and ensure their continuous improvements

Requirements:

  • Technical Skills:

    • 3+ years of experience building and maintaining ML production pipelines, with demonstrated expertise in data processing and model deployment workflows

    • Strong ability to rapidly prototype and conduct A/B experiments to validate hypotheses and optimize model performance

    • Track record of successfully collaborating with infrastructure and platform teams to productionize ML solutions at scale

    • Demonstrated experience implementing state-of-the-art research papers, particularly in areas like language models, reinforcement learning, or agent-based systems

    • Strong analytical and first-principles thinking skills, with examples of breaking down and solving complex ML engineering challenges

    • Results-driven mindset with proven ability to ship production-ready solutions, combined with enthusiasm for continuous learning and improvement

    • Excellent software engineering practices, including proficiency in Python, version control and ML frameworks like PyTorch or TensorFlow

    • Experience with large language models and modern AI techniques such as prompt engineering, few-shot learning and Chain of Thought reasoning

    • Ability to balance research exploration with practical implementation needs in a fast-paced environment

Location:

  • Paris, London - Office

  • Full-time / Hybrid - Remote

  • Our teams are distributed between France, UK and USA

What We Offer:

  • Join the exciting journey of shaping the future of AI and be part of the early days of one of the hottest AI startups

  • Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talents in a highly collaborative environment

  • Enjoy a competitive salary and performance-based bonus structure

  • Unlock opportunities for professional growth, continuous learning, and career development

If you want to change the status quo in AI, join us.

Average salary estimate

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$80000K
$120000K

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What You Should Know About Member of technical staff (Product engineering), H Company

Join H as a Member of Technical Staff in Product Engineering and be at the forefront of pushing the boundaries of superintelligence with agentic AI. At H, we believe in automating complex, multi-step tasks to unlock full human potential, and we’re on the lookout for skilled AI engineers who share our commitment to responsible innovation. Within our Product Engineering Team, you'll contribute to the successful implementation of our Agents platform for Web Automation. This is an exciting opportunity where you’ll set up robust data collection pipelines and iterate on evaluation metrics that reflect how our AI agents perform in real-world scenarios. You'll be responsible for developing infrastructure to evaluate agents effectively, reviewing state-of-the-art papers to enhance agent performance, and prioritizing cutting-edge techniques to ensure continuous improvement. We value a mindset of openness and collaboration, and as such, your experience in building and maintaining ML production pipelines, along with your strong analytical skills, will make you a vital part of our team. You’ll work alongside a diverse and dynamic group of professionals in a fast-paced environment, where your ability to balance research with practical implementation will shine. With a competitive salary, continuous learning opportunities, and a culture that values the contributions of everyone, H is the place to be for those who want to change the AI landscape.

Frequently Asked Questions (FAQs) for Member of technical staff (Product engineering) Role at H Company
What are the key responsibilities of a Member of Technical Staff in Product Engineering at H?

As a Member of Technical Staff in Product Engineering at H, you'll be involved in various responsibilities, including setting up robust data collection pipelines, iterating on evaluation metrics for our AI agents, and developing evaluation infrastructure. You'll also be expected to review latest research papers to enhance agent performance and implement industry-leading techniques, making your role vital to the success of our Agents platform for Web Automation.

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What qualifications are required for the Member of Technical Staff (Product Engineering) position at H?

To qualify for the Member of Technical Staff (Product Engineering) position at H, candidates need at least 3 years of experience in building and maintaining ML production pipelines. Expertise in Python, machine learning frameworks like PyTorch or TensorFlow, and familiarity with modern AI techniques such as prompt engineering are essential. A proven track record of collaboration, analytical skills, and results-driven approaches are also key qualifications.

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What skills are essential for success as a Member of Technical Staff at H?

Success as a Member of Technical Staff at H requires a blend of technical skills, including proficiency in data processing and model deployment workflows, and the ability to rapidly prototype and conduct A/B experiments. Strong analytical skills and experience with large language models, as well as a results-driven mindset, are crucial for shipping production-ready solutions and continuing to drive improvements.

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How can a Member of Technical Staff contribute to the company culture at H?

A Member of Technical Staff can significantly contribute to the company culture at H by embracing our commitment to openness and collaboration. Your enthusiasm for continuous learning and improvement, combined with sharing your expertise in AI technologies and best practices, will foster an environment of innovation where everyone's contributions matter.

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What does the work environment look like for a Member of Technical Staff at H?

The work environment at H for a Member of Technical Staff is highly collaborative, fun, and dynamic. With teams distributed across France, the UK, and the USA, you'll be engaging with world-class AI talents in hybrid team settings, allowing for flexible work arrangements while tackling exciting challenges in AI development.

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Common Interview Questions for Member of technical staff (Product engineering)
Can you describe your experience with ML production pipelines?

In your answer, share specific projects where you built or maintained ML production pipelines, focusing on your role and the technology stack used. Highlight challenges faced, how you overcame them, and the impact of your work on the project's success.

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How do you prioritize state-of-the-art techniques in a fast-paced environment?

Discuss your approach to staying updated with the latest research and how you determine which techniques to prioritize for implementation. Mention any frameworks or methodologies you use to balance research with practicality.

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Could you provide an example of a successful A/B test you conducted?

When answering, describe the hypothesis you tested, the metrics you used to measure success, and how the results influenced your model's performance or product development. Be sure to emphasize your data-driven decision-making process.

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How do you ensure continuous improvement of AI agents in production?

Talk about your practices for monitoring and evaluating agent performance post-deployment, any tools you use to collect relevant data, and how you iterate on models based on feedback and performance metrics.

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What is your experience with implementing research papers into practical applications?

Share specific examples of research papers you've worked with, detailing the implementation process, any challenges encountered, and how you adapted theoretical concepts into working models that delivered value.

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What software engineering practices do you follow in your projects?

Discuss your approach to software engineering, including coding standards, version control practices, and any specific methodologies (like Agile or DevOps) that you employ to ensure high-quality deliverables.

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How do you handle complex ML engineering challenges?

Outline your problem-solving process by discussing how you break down complex challenges into manageable parts, utilizing analytical skills, and collaborating with your team to develop innovative solutions.

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What are some modern AI techniques you have experience with?

List modern AI techniques you've worked with, such as few-shot learning or prompt engineering, and provide examples of projects where these techniques were successfully applied, outlining outcomes and lessons learned.

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Describe a time when you had to balance research exploration with practical implementation.

Provide a specific scenario where you navigated research and practical requirements, emphasizing how you made decisions to prioritize tasks, the approaches you took, and the results achieved through this balance.

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Why do you want to work as a Member of Technical Staff at H?

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Hahn & Company is a private equity investment firm specializing in buyouts and corporate restructurings in South Korea. It is one of the largest private equity investment firms operating in North Asia.

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Full-time, hybrid
DATE POSTED
December 31, 2024

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