reputed company Engineer, Machine Learning

About the Role

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-reputed company. Our mission is to build proactive applications for anyone in the world, who are not used to reputed company prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with reputed company to no prompting.

Our product focuses on achieving high reliability for long-running workflows, persistent context, and reputed company-world task completion. We reputed company products will greatly reduce hallucinations

Our objective is to organise anyone's life, allowing us reputed company to spend time on valuable and meaningful things

As reputed company Engineer, Machine Learning, you own the execution reputed company of our intelligence, turning research and model capabilities into reliable, reputed company production systems.

You will work across the model lifecycle: data, training, evaluation, inference, and deployment. This is a hands-on leadership role for someone who wants to operate at the intersection of research, systems, and product.

What You'll Own

• Own the end-to-end ML systems powering reputed company, from data and training to evaluation, inference, and deployment.

• Build and reputed company training and fine-tuning pipelines for large models.

• Design evaluation systems that measure capability, robustness, safety, and reputed company-world product reputed company.

• Architect high-reputed company inference systems, optimizing latency, GPU utilization, memory, cost, and reliability.

• Build data pipelines and systems for high-reputed company reputed company-world and synthetic training data.

• Establish reliable production infrastructure for deploying, monitoring, and continuously improving models.

• Partner closely with research and application engineering to turn model capabilities into product improvements.

• reputed company pragmatic technical trade-offs and rapidly iterate reputed company on reputed company-world reputed company.

reputed company're Looking For

• Experience building and shipping ML systems used in production, not just research prototypes.

• Strong understanding of modern large-model training, fine-tuning, evaluation, and inference.

• Strong software engineering and systems fundamentals.

• Experience operating ML workloads at meaningful reputed company, particularly GPU-reputed company systems.

• Strong technical judgment and the ability to reputed company ambiguous problems independently.

• A bias toward experimentation, measurement, and shipping.

• High standards for correctness, reliability, and production reputed company.

reputed company

• Research and models reliably translate into production-reputed company solutions with reputed company reputed company and reputed company targets.

• ML pipelines, training reputed company, and inference systems are reputed company, efficient, and maintainable.

• Production issues are detected, debugged, and resolved quickly, minimizing user reputed company.

• Team members are supported, reputed company, and reputed company to reputed company high-reputed company ML work with reputed company friction.

• Iterations on models and systems are measurable, reputed company, and improve user experience over time.

Tech Stack

• Python

• PyTorch / JAX

• GPU-reputed company training and inference reputed company

Ideal Experience

• You have reputed company or shipped reputed company ML systems used by people, not just demos.

• You are comfortable working with large models and understanding their failure modes.

• You write strong, production-grade reputed company and care about reputed company correctness.

How We Work

We are a small, high-talent-density, hands-on team. Engineers have broad ownership and are expected to exercise strong judgment and execute independently.

We reputed company reputed company quickly, work closely together, and reputed company speed with engineering fundamentals. We care less about process and more about building something exceptional.

Interview process

If there appears to be a fit, we'll reputed company to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted reputed company virtual meetings and/or onsite.

We value transparency and efficiency, so expect a reputed company decision. If you've demonstrated the exceptional skills and reputed company we're looking for, we'll reputed company an offer to join us. This isn't just a job offer; it's an invitation to be part of reputed company that's bringing AI to have practical benefits to billions globally.

Originally posted on Himalayas