AI Research Engineer, Kernel & Inference Optimization

🔥 0 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Tether.to

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

₿ Crypto

💳 Fintech

💸 Finance

Crypto • Fintech • Finance

Tether. to is a leading digital asset company that pioneers the use of stablecoins in the blockchain space. As the most widely adopted stablecoin, Tether tokens are designed to be pegged 1-to-1 with fiat currencies, offering a stable digital asset option for users. The platform facilitates these token transactions across multiple blockchains, enhancing cross-border transactions while maintaining transparency with daily records of total assets and reserves. Tether's initiatives include educational programs promoting digital asset usage, especially targeting regions like the Middle East, Turkey, and the Philippines. Tether thus positions itself as a disruptor in the traditional financial system by enabling a stable, efficient method of handling transactions in the digital currency world.

📋 Description

• Design and deploy state-of-the-art model serving architectures with high throughput, low latency, and optimized memory usage • Ensure inference pipelines run efficiently across resource-constrained devices and edge platforms • Establish performance targets for latency, token response, and memory footprint • Build, run, and monitor controlled inference tests in simulated and live production environments • Track latency, throughput, memory consumption, and error-rate KPIs • Document iterative results and compare outcomes against established benchmarks across platforms • Identify and prepare test datasets and simulation scenarios for low-resource deployment challenges • Analyze computational efficiency and diagnose serving-pipeline bottlenecks • Optimize batch processing, network delays, memory usage, scalability, and reliability • Collaborate with cross-functional teams to integrate optimized serving and inference frameworks into production edge and on-device pipelines • Define success metrics and perform continuous monitoring and iterative refinements

🎯 Requirements

• A degree in Computer Science or related field • Ideally PhD in NLP, Machine Learning, or a related field • Solid track record in AI R&D, with good publications in A* conferences • Knowledge of Metal Shading Language (MSL) • Ability to write custom compute shaders from scratch • Proven experience in low-level kernel optimizations and inference optimization on mobile devices • Measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications • Deep understanding of modern model serving architectures and inference optimization techniques • Strong expertise in writing GPU kernels for mobile devices such as smartphones • Deep understanding of model serving frameworks and engines • Practical experience developing and deploying end-to-end inference pipelines on resource-constrained devices • Ability to apply empirical research to model-serving challenges including latency optimization, computational bottlenecks, and memory constraints • Proficiency in designing evaluation frameworks and iterating on optimization strategies • Experience with distributed inference systems, including Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism • Deep understanding of the mathematics and structure of Diffusion Models and Vision Transformers • Understanding of Pruning, Quantization, Flash Attention, KV Cache, and Speculative Decoding (Eagle)

🏖️ Benefits

• Remote work from anywhere in the world • Opportunity to collaborate with a global team • Work on innovative fintech, blockchain, AI, and digital finance products