About the job
About the Role
A1 is developing an innovative AI system designed to enhance productivity by seamlessly managing workflows across conversations, tools, and time.
As a Senior Machine Learning Engineer, you will play a pivotal role in owning and advancing critical ML systems currently in production. This position is tailored for engineers capable of independently navigating complex ML challenges from conception to deployment while making informed trade-offs throughout the process.
Key Responsibilities
- Design and implement essential ML systems that drive a forward-thinking, long-term AI product.
- Take full ownership of projects: from data preparation and training to evaluation, inference, and iterative improvements.
- Transform research concepts into operational systems that perform reliably in a production environment.
- Troubleshoot model failures and system issues using actual production data.
- Adopt a rapid iteration cycle: deploy, measure results, refine, and repeat.
- Collaborate closely with research, product, and engineering teams to generate substantial user impact.
- Provide mentorship and guidance to fellow ML engineers through exemplary practices and technical insights.
- Operate within real-world production constraints including latency, cost, reliability, and safety considerations.
Technology Stack
- Python
- PyTorch / JAX
- GPU-based training and inference systems
Desired Qualifications
- Proven experience in building and deploying ML systems utilized by end users.
- In-depth understanding of modern ML model behavior and potential pitfalls in production settings.
- Ability to write robust, production-quality code with a systems-oriented mindset.
- Demonstrated ownership and the ability to work autonomously to drive projects to completion.
- Quick learner with excellent communication skills and a focus on continuous improvement through iteration.
Work Environment
Our organization is structured with a flat hierarchy, fostering a small, dedicated team focused on engineering and product excellence. Every team member is expected to actively contribute to the company’s vision.
Interview Process
Should your qualifications align with our needs, we will arrange a series of 3 to 4 interviews.

