About the Role

As a Staff Machine Learning Engineer specializing in Runtime & Optimization, you’ll play a pivotal role in shaping the future of our ML systems. You’ll dive deep into the intricacies of model deployment, performance tuning, and runtime efficiency to ensure seamless scalability and exceptional performance across millions of users.

What You’ll Do

• Optimize Performance: Develop and fine-tune machine learning models and algorithms for real-time applications, ensuring maximum efficiency and minimal latency.
• Innovate at Scale: Design and implement scalable runtime systems for training and inference, enabling advanced AI-driven solutions.
• Collaborate Across Teams: Partner with data scientists, software engineers, and product teams to identify opportunities for optimization and deliver groundbreaking innovations.
• Stay Ahead of the Curve: Research and integrate the latest advancements in ML, hardware acceleration, and distributed systems to keep us at the forefront of technology.
• Solve Big Challenges: Tackle complex optimization problems that drive impactful improvements across our ecosystem.

What We’re Looking For

• Experience That Counts: 8+ years of professional experience in ML engineering, with a focus on runtime systems, model optimization, or similar areas.
• Technical Mastery: Deep understanding of ML frameworks (TensorFlow, PyTorch, etc.), distributed systems, and hardware acceleration (GPUs, TPUs).
• Coding Prowess: Proficient in Python, C++, or other relevant programming languages, with experience in performance tuning and profiling tools.
• Creative Problem-Solving: A track record of crafting innovative solutions to complex technical challenges.
• Passion for Performance: A relentless drive to optimize and a fascination with the finer details of runtime systems.

Why You’ll Love Working Here

• Impactful Work: Your contributions will directly shape how millions of users interact with advanced AI systems.
• Inspiring Team: Join a team of brilliant minds who are as passionate about technology as you are.
• Growth Opportunities: Work on diverse projects that challenge you to grow and expand your skill set.
• Flexible Environment: Enjoy a supportive work culture with opportunities to innovate and experiment.
• Cutting-Edge Tools: Access to the latest tools, infrastructure, and research to fuel your creativity.

Ready to Build the Future?

If this role speaks to your passion for engineering excellence and technical creativity, we’d love to hear from you. Apply now and let’s shape the future of AI together!