Senior AI Kernel & Inference Engineer — Remote

Anyone Ai Inc.; La Pampa; Remote; ARS 181,747,000 - 272,620,000; Full time

Job summary

Tether is seeking an AI Research Engineer to drive model serving and inference optimization across mobile and edge platforms. You will design kernels, optimize pipelines, and push low-latency, memory-efficient AI solutions for diverse hardware while collaborating with cross-functional teams.

The role emphasizes research-driven implementation, rigorous testing, and scalable deployments in a fully remote, global setting with state-of-the-art technologies.

Qualifications

• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
• Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch.
• Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential.
• Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms.
• Deep understanding of modern model serving architectures and inference optimization techniques is required.
• Strong expertise in writing GPU kernels for mobile devices and model serving frameworks is required.
• Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization and memory constraints.

Responsibilities

• Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage.
• Build, run, and monitor controlled inference tests in both simulated and live production environments.
• Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges.
• Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring processing and memory metrics.
• Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines for edge and on-device applications.

Skills

Model serving

Inference optimization

GPU kernels

Low-latency systems

Edge devices

NLP/ML knowledge

Education

PhD in NLP / ML

Bachelor's in CS

Tools

MSL (Metal Shading Language)

Compute shaders

Profiling tools

Job description

Tether is seeking an AI Research Engineer to drive model serving and inference optimization across mobile and edge platforms. You will design kernels, optimize pipelines, and push low-latency, memory-efficient AI solutions for diverse hardware while collaborating with cross-functional teams.

The role emphasizes research-driven implementation, rigorous testing, and scalable deployments in a fully remote, global setting with state-of-the-art technologies.