Ai Algorithm Engineer Scientist (AI)

TL;DR

AI Algorithm Engineer Scientist (AI): Developing and implementing machine learning models for CPUs and GPUs with an accent on enhancing performance and scalability. Focus on algorithm research and development in areas such as audio, voice, speech, and vision processing.

Location: US, California, Santa Clara. This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned hirify.global site and off-site.

Salary: $170,500.00-240,710.00 USD

Company

hirify.global drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services.

What you will do

• Develop and implement machine learning models, including supervised, unsupervised, and reinforcement learning algorithms, to solve complex applied problems.
• Conduct research and algorithm optimization for CPUs and GPUs to enhance performance and scalability.
• Design and test software components that translate machine learning models and data processing techniques into deployable products.
• Collaborate with cross-disciplinary teams to define technical requirements for AI-driven products and solutions.
• Drive innovation through algorithm research and development in areas such as audio, voice, speech, and vision processing.
• Debug, document, and deploy libraries ensuring robust and efficient software solutions.

Requirements

• Degree in Computer Science, Computer/Electrical Engineering, Mathematics, or a related field.
• 4+ years of experience with a Bachelor's degree, 2+ years with a Master's degree, or a PhD degree.
• Advanced knowledge in programming languages including C /C++ and Python.
• Solid understanding of machine learning frameworks, including model development and evaluation.
• Hands-on experience in algorithm optimization for CPUs and GPUs.
• Publications in first-tier highly selective international conferences such as NeurIPS, ICML, AAAI, ICLR, CVPR, ICCV, ECCV.

Nice to have

• Excellent programming skills in close to metal languages and experience in GPU programming with CUDA/OpenCL/Vulkan
• Software engineering experience demonstrated through publicly available software and source code contributions
• Experience in finetuning and training of LLMs, building RAG pipelines, model compression and design of agentic workflows.
• 4+ publications in first tier highly selective international conferences or journals such as NeurIPS, ICML, AAAI, ICLR, CVPR, ICCV, ECCV

Culture & Benefits

• Competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.