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Member of technical staff (Post-training)

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 talent, 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 Post-training team focuses on enhancing pre-trained models for use in H products, particularly by improving instruction following and tool use abilities.

This is achieved by learning from extensive user and machine feedback, driving improvements through reward modeling and scaling feedback-driven training.

Our team operates at the intersection of research and product, developing post-training methods to improve H-models' ability to solve complex tasks, make decisions, and interact with dynamic environments.

Key Responsibilities:

  • Research and develop post-training methods across our research stack to enhance the instruction following and tool use abilities of H models targeting next-generation capabilities

  • Design and implement automated data collection pipelines for reward modeling and large-scale reinforcement learning

  • Build robust evaluations for tracking modeling improvements

  • Transform learnings from use cases into post training methods to improve H-models

  • Collaborate closely with the other research research and product teams

Requirements:

  • Technical skills

    • Proficient in Python & Git

    • Expert in at least one deep learning framework (PyTorch, JAX, TensorFlow)

    • Experience training large models on a distributed infrastructure

    • Hands-on experience with LLM post-training, alignment and large-scale reinforcement learning

  • Research skills

    • Publications in top-tier AI conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICCV)

    • PhD or MSc with equivalent experience, in machine learning, deep learning, natural language processing, or related field

  • Soft skills

    • Team player

    • Strong communication and presentation skills to articulate complex ideas clearly

  • Bonuses

    • Industry experience is a plus

    • Experience in LLM post-training, RL

Location:

  • H's teams are distributed throughout France, the UK, and the US

  • This role has the potential to be fully remote or hybrid for candidates based in cities where we have an office - currently Paris and London

  • The final decision for this will lie with the hiring manager for each individual role

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 talent in a highly collaborative environment

  • Enjoy a competitive salary

  • 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

$110000 / YEARLY (est.)
min
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$90000K
$130000K

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What You Should Know About Member of technical staff (Post-training), H Company

Are you ready to embark on an exciting journey in the world of artificial intelligence? H is thrilled to announce an opening for a Member of Technical Staff (Post-training) to join our innovative team. At H, we are committed to pushing the boundaries of superintelligence with agentic AI, and our Post-training team plays a crucial role in enhancing our pre-trained models for use in H products. We’re all about collaboration, learning, and fostering a workplace where ideas flourish. As a Member of Technical Staff, you will lead research and development efforts targeting cutting-edge capabilities, improving instruction following, and tool usage abilities of H models. You’ll design automated data collection pipelines for reward modeling and large-scale reinforcement learning, ensuring that our models are consistently turning insights into actionable improvements. With your proficiency in Python and experience with deep learning frameworks, you’ll not only evaluate performance metrics but also leverage your research acumen to transform user feedback into valuable post-training methodologies. Your ability to communicate complex ideas clearly will be key in collaborating with interdisciplinary teams and driving impactful changes. This role offers the flexibility of being fully remote or hybrid, with the opportunity to work within our diverse teams based in vibrant cities such as Paris and London. If you are excited about shaping the future of AI in a fun and dynamic environment, where continuous learning is part of the culture, then we’d love for you to be a part of H!

Frequently Asked Questions (FAQs) for Member of technical staff (Post-training) Role at H Company
What are the key responsibilities of a Member of Technical Staff (Post-training) at H?

As a Member of Technical Staff (Post-training) at H, you will be responsible for researching and developing post-training methods that enhance the capabilities of our models. This includes designing automated data collection pipelines for reward modeling and reinforcement learning, evaluating modeling improvements, and integrating user feedback into practical training methodologies.

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What qualifications are needed for the Member of Technical Staff (Post-training) position at H?

To qualify for the Member of Technical Staff (Post-training) at H, candidates should have a PhD or MSc in machine learning, deep learning, or natural language processing, alongside proficiency in Python and deep learning frameworks. Experience with large models and publications in top AI conferences will strengthen your application.

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What is the work environment like for a Member of Technical Staff (Post-training) at H?

The work environment for a Member of Technical Staff (Post-training) at H is dynamic and collaborative, shaped by a multicultural team of AI talents. You'll have opportunities to learn continuously, participate in innovative projects, and contribute towards shaping the future of AI technologies.

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Are there remote work options available for the Member of Technical Staff (Post-training) role at H?

Yes, the Member of Technical Staff (Post-training) role at H offers the flexibility of being fully remote or hybrid. Candidates can work in cities where we have offices, such as Paris and London, with final arrangements managed by the hiring manager.

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What professional development opportunities does H provide for a Member of Technical Staff (Post-training)?

At H, we prioritize professional development and continuous learning for our team members. As a Member of Technical Staff (Post-training), you'll have access to resources that facilitate your growth, opportunities to collaborate with industry experts, and a path to advance your career in AI.

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Common Interview Questions for Member of technical staff (Post-training)
Can you describe your experience with large models and distributed infrastructure?

When answering this question, focus on specific projects or tasks where you utilized large models on distributed systems. Highlight any challenges faced, how you overcame them, and the outcomes achieved. Emphasizing your hands-on experience will illustrate your capability for the role.

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What approaches have you used for reinforcement learning?

Discuss any techniques or frameworks you have implemented for reinforcement learning. Be sure to mention results, how you integrated feedback from real-world applications, and how this experience prepares you for the challenges at H.

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How do you stay updated with advancements in AI and machine learning?

Outline your commitment to learning through attending conferences, workshops, and staying engaged with current literature in AI. Mention any specific sources or networks you are part of, showcasing your proactivity in keeping ahead of trends and innovations in the field.

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Describe a successful collaborative project you've worked on.

Choose a project where successful collaboration was key to achieving goals. Discuss the roles of different team members, your contributions, and what made the collaboration effective. Be sure to highlight communication and the importance of diverse perspectives in driving innovation.

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What kind of automated data collection pipelines have you designed?

Be ready to discuss specific pipelines you’ve built, emphasizing the tools and methodologies used. Explain the importance of these pipelines in your research or projects and any improvements or efficiencies they provided.

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How would you approach enhancing a pre-trained model?

Explain your methodology for assessing the existing model's performance, identifying weaknesses, and iteratively applying post-training methods. Mention any specific techniques you've used to improve results.

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Can you provide insights into your research publication process?

Discuss the journey of your research leading to publication, the importance of peer review, and how you handled feedback. Showcase your ability to articulate complex ideas as it is vital for the role at H.

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What role does user feedback play in your development process?

Highlight the significance of gathering user insights and how you structure feedback loops. Emphasize specific changes or improvements you implemented based on user experiences.

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How do you manage competing priorities in research and development?

Talk about your organizational skills and strategic thinking when dealing with multiple projects. Providing examples of how you prioritize tasks based on impact or deadlines will demonstrate your ability to manage time effectively.

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Give an example of a complex task you solved using AI models.

Choose a specific instance where you effectively utilized AI models to tackle a complex challenge. Detail the approach you took, the methodologies applied, and the outcomes. This will underscore your problem-solving abilities, crucial for success 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, remote
DATE POSTED
January 7, 2025

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