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Backend Engineer

About the team

Adaptive ML is helping companies build singular generative AI experiences by democratizing the use of reinforcement learning. We are building the foundational technologies, tools, and products that allow models to learn directly from user interactions and self-improve based on simple guidelines. Our founders come from diverse backgrounds and previously worked together in creating state-of-the-art open-access large language models. We closed a $20M seed with Index & ICONIQ in early 2024 and are live with our first enterprise customers.

Our Product Team is responsible for transforming the technology we build into exceptional products that directly address pain points companies encounter in their generative AI deployments. We are committed to delivering a high-quality, intuitive, and robust experience for our customers.

About the role

As a Backend Engineer on our Product Team, you will help transform our technology into exceptional products. Our products allow companies to build more singular generative AI experiences with deeper personalization through reinforcement learning. We prioritize product quality, with a bias for clarity, responsiveness, and robustness, achieved through attention to detail across frontend and backend systems.

You will work on the backend powering our product, collaborating closely with frontend and Technical Staff to implement new features. Challenges may include interfacing with complex GPU workloads (e.g., distributed inference/training) in a robust way and building scalable abstractions. We are looking for self-driven, ambitious individuals interested in contributing to a highly technical product that prioritizes robustness, accessibility, and responsiveness. As this is an early role, you will have the opportunity to shape our product team as we grow.

This role is ideally in-person at our Paris or New York office, but we are also open to fully remote work.

Your responsibilities

  • Design, iterate, and implement the backend of our products;

  • Develop high-quality Rust software, with elevated standards of performance and robustness;

  • Construct systematic processes for product development, helping remove unknowns in our strategy;

  • Contribute to our product roadmap aligning the needs of our Commercial Team with the latest advancements from our Technical Team;

  • Report clearly on your work to a distributed collaborative team, with a bias for asynchronous written communication.

Your (ideal) background

The background below is only suggestive of a few pointers we believe could be relevant. We welcome applications from candidates with diverse backgrounds; do not hesitate to get in touch if you think you could be a great fit, even if the below doesn't fully describe you.

  • Significant experience (at least 6-10 years) in software development;

  • Strong software engineering skills, with a focus on robustness and performance;

  • A track record of shipping ambitious technical products under tight deadlines;

  • A deep concern for user experience;

  • Passionate about the future of generative AI, and eager to build foundational technology to help machines deliver more singular experiences.

Benefits

  • Comprehensive medical (health, dental, and vision) insurance;

  • 401(k) plan with 4% matching (or equivalent);

  • Unlimited PTO — we strongly encourage at least 5 weeks each year;

  • Mental health, wellness, and personal development stipends;

  • Visa sponsorship if you wish to relocate to New York or Paris.

What You Should Know About Backend Engineer, Adaptive ML

As a Backend Engineer at Adaptive ML in Paris, you'll play a pivotal role in transforming groundbreaking technology into exceptional products that revolutionize generative AI experiences. Our mission focuses on democratizing reinforcement learning, allowing models to self-improve based on user interactions. In this exciting position, you'll design and implement the backend architecture of our innovative products, ensuring they deliver deeper personalization through advanced AI techniques. Collaborating closely with frontend developers and technical staff, you'll tackle complex challenges like managing GPU workloads for distributed inference and training. Your work will be crucial in constructing seamless processes for product development while aligning our commercial aspirations with the latest technical advancements. With at least 6-10 years of software development experience, you'll bring a strong emphasis on performance and robustness, as well as a passion for enhancing user experience. We value self-driven and ambitious individuals who are eager to contribute to a dynamic and innovative team. Plus, you’ll have the flexibility of working at our Paris office or remotely, creating an environment where you can thrive. Joining Adaptive ML means being part of a mission-driven company poised to make significant strides in the AI landscape, alongside a team committed to building accessible and responsive products.

Frequently Asked Questions (FAQs) for Backend Engineer Role at Adaptive ML
What are the responsibilities of a Backend Engineer at Adaptive ML?

As a Backend Engineer at Adaptive ML, your primary responsibilities will include designing and implementing the backend infrastructure that powers our innovative products, developing high-quality Rust software, and ensuring robust performance. You'll collaborate closely with frontline developers and technical teams to align our product roadmap with the latest technological advancements, contributing to the overall user experience. Your role will also involve constructing systematic processes for product development to eliminate uncertainties in our strategy.

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What qualifications are needed to become a Backend Engineer at Adaptive ML?

To qualify for the Backend Engineer position at Adaptive ML, you should possess significant experience, ideally 6-10 years, in software development with a strong focus on engineering skills related to robustness and performance. A background in shipping complex technical products under tight deadlines, combined with a keen interest in the evolution of generative AI, is essential. Additionally, a passion for user experience will set you apart from other candidates.

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How does Adaptive ML support professional development for Backend Engineers?

At Adaptive ML, we emphasize continuous professional development for our Backend Engineers. You will have access to personal development stipends as well as mental health and wellness programs to support your growth and overall wellbeing. We're committed to fostering an environment where you can thrive, enhance your skills, and contribute meaningfully to cutting-edge generative AI projects.

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Is remote work an option for the Backend Engineer position at Adaptive ML?

Yes! While Adaptive ML prefers applicants that can work in-person at our Paris or New York office, we are also open to fully remote work arrangements. This flexibility allows you to contribute to our innovative projects while maintaining a work-life balance that suits your lifestyle.

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What benefits does Adaptive ML offer to Backend Engineers?

Backend Engineers at Adaptive ML can enjoy a robust benefits package that includes comprehensive health, dental, and vision insurance, a 401(k) plan with 4% matching, and unlimited PTO to ensure a healthy work-life balance. We also encourage you to take a minimum of five weeks off each year and provide stipends for mental health and personal development. Visa sponsorship is available if you wish to relocate to New York or Paris.

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Common Interview Questions for Backend Engineer
Can you describe your experience with Rust programming as a Backend Engineer?

When discussing your experience with Rust, focus on specific projects where you've utilized Rust to build robust, high-performance applications. Explain your familiarity with Rust's unique features that ensure reliability and concurrency. Mention challenges you've faced and how you overcame them using Rust's capabilities.

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How do you approach designing and implementing backend systems?

Explain your systematic approach to backend design, which could involve defining requirements, creating architecture diagrams, and using best practices for coding and testing. Emphasize your attention to detail and the importance of collaboration with front-end developers and technical teams to create seamless integration.

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What challenges have you faced when working with GPU workloads?

Discuss specific challenges related to distributing workloads efficiently, managing memory allocation, or optimizing performance. Share how you addressed these challenges, maybe by employing particular strategies or tools that have proven effective in your past roles.

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How do you ensure the performance and robustness of the products you develop?

Highlight your strategies for maintaining product performance and robustness, such as rigorous testing, continuous integration, monitoring application metrics, and stress-testing environments. Discuss the importance of user feedback in achieving this goal.

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Describe a time you shipped a complex feature under tight deadlines.

Provide a specific example of a complex feature you successfully delivered under pressure. Discuss your planning, how you prioritized tasks, collaborations with your team, and how you ultimately met the deadline while maintaining high quality.

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What role does user experience play in your approach as a Backend Engineer?

Discuss how you view user experience not only as a front-end concern but also as a critical component of the backend. Explain how the backend supports front-end features and functions while ensuring seamless functionality that caters to user needs.

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How do you stay updated on advancements in generative AI?

Describe your methods for keeping abreast of advancements in generative AI, such as participating in workshops, reading recent publications, attending conferences, or engaging with online communities. Emphasize how this knowledge informs your work and product development processes.

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Can you explain your experience in contributing to product roadmaps?

Talk about your role in past projects where your insights have shaped the product roadmap. This could involve analyzing user feedback, proposing new features based on the latest tech advancements, or aligning development efforts with business needs.

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What methodologies do you apply for effective asynchronous communication in teams?

Share the methods you utilize for asynchronous communication, such as using collaboration tools, clearly documenting progress, and ensuring team members are informed without the need for constant real-time interactions. Highlight the importance of clarity in written communication.

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Why do you want to work at Adaptive ML as a Backend Engineer?

Express your enthusiasm for joining Adaptive ML, focusing on their mission to revolutionize generative AI. Discuss your alignment with their core values and your eagerness to contribute to a team that prioritizes performance, accessibility, user experience, and robust technology.

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Every user interaction, advancing your use case. Test, serve, monitor, and iterate on your large language models in your cloud with Adaptive ML.

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Full-time, hybrid
DATE POSTED
December 24, 2024

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