Senior ML Engineer - Inference and Optimization

The role:

As our first ML Engineer specializing in inference and optimization, you'll bridge the gap between cutting-edge research models and production systems. Your expertise will transform PyTorch research code into highly optimized, low-latency inference solutions that power our user-facing applications. You'll work closely with our GenAI researchers, vision ML engineers, and backend team to deliver exceptional performance.

What you’ll do:

• Deploy and integrate researcher-trained model checkpoints into our cloud infrastructure and production pipelines.
• Conduct thorough performance profiling and benchmarking to identify and eliminate computational bottlenecks.
• Implement neural network optimization techniques including quantization, pruning, and architectural refinements while preserving model accuracy.
• Develop efficient training and fine-tuning strategies with optimal precision trade-offs and parallelism.

Looking to advance your IT & Network Engineering career with relocation support? Explore IT & Network Engineering Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.

• Build and maintain scalable multi-GPU inference solutions with sophisticated model parallelism and serving architectures.
• Collaborate with the research team to ensure optimization integrate smoothly with model development workflows.

You may be a strong fit if you:

• Have experience deploying and optimizing deep learning models for production environments, particularly with multi-GPU inference and large-scale model serving.
• Are well-versed in cutting-edge techniques for optimizing both inference and training workloads.

Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

• Possess strong knowledge of efficient attention mechanisms and algorithms.
• Have hands-on experience implementing model quantization and working with inference frameworks.
• Can write production-quality code and successfully integrate ML models into robust inference pipelines.
• Are familiar with various cloud platforms, storage solutions, and modern training frameworks.

Logistics:

• This role is based in San Jose, where we work in person. We believe the best ideas come from being in the same room.
• We sponsor visas. We are committed to working through the process together for the right candidates. If you're currently outside the US, we're also committed to helping you relocate to the US throughout this process.
• We offer generous health, dental, and vision coverage, unlimited PTO, paid parental leave, and relocation support as needed.
• Don't meet every single qualification? That’s okay — we care more about your trajectory than checking every box. If the role excites you and the mission resonates, we'd love to hear from you.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf.