AI/ML Software Engineer / Senior software engineer/ Tech lead

Expert Intelligence™; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive pay bonuses

Personalized PTO

Equal Opportunity employer

Job summary

Expert Intelligence is a Silicon Valley AI company building a foundational AI platform by combining cutting-edge ML research with scalable software systems. You will work with experts from top tech firms to translate novel ML ideas into robust production software in a fast-moving environment.

The role emphasizes design, implementation, testing, and optimization across Python, C++, and ML frameworks, with cloud-focused scalability and real-time processing considerations.

Qualifications

• Bachelor's degree in computer science or computer engineering.
• Demonstrated experience architecting scalable software with emphasis on performance, reliability, and maintainability.
• Minimum of 2+ years of hands-on production-class software design using Python, Java, or C++.
• Proficiency in debugging complex infrastructures, including real-time threads and cloud environments.
• Strong practices in coding standards, reviews, source control, builds, testing and operations.
• Familiarity with TensorFlow and PyTorch for production ML workloads.

Responsibilities

• Design, develop, test, and maintain production-class AI and software systems using Python, PyTorch, C++, Rust, Java, or similar languages.
• Build clean, modular, reviewable software prioritizing performance, reliability, scalability, and maintainability.
• Debug complex software infrastructure across cloud environments, distributed systems, asynchronous processes, and real-time workloads.
• Collaborate with machine learning researchers, software engineers, product teams, and domain experts.
• Convert experimental ML algorithms into production-ready, testable software modules.

Skills

Python

Java

C++

Rust

TensorFlow

PyTorch

Education

Bachelor's degree in computer science or computer engineering

Tools

TensorFlow

PyTorch

AWS

Job description

Expert Intelligence is building the next wave of AI technology.

We are a Silicon Valley AI company developing advanced machine learning, generative AI, reinforcement learning, and meta-learning systems with our proprietary Limited Sample Model AI platform. Traditional AI requires massive datasets. Our technology is designed to learn from limited, high-value data and expert feedback, enabling highly accurate AI systems for complex, real-world applications.

Our ambition is to define a new category of AI, just as leading foundation-model companies transformed the LLM landscape.

You will work alongside industry experts with experience at Google, Apple, Amazon, and Meta. This is an opportunity to help build a foundational AI platform and redefine what production AI systems can achieve.

What you will be doing

• Design, develop, test, and maintain production-class AI and software systems using Python, PyTorch, C++, Rust, Java, or similar languages.
• Build clean, modular, and reviewable software while prioritizing performance, reliability, scalability, and maintainability.
• Debug complex software infrastructure across cloud environments, distributed systems, asynchronous processes, and real‑time workloads.
• Collaborate with machine learning researchers, software engineers, product teams, and domain experts.
• Convert experimental machine learning algorithms into production‑ready, testable software modules.

What we need to see

• Bachelor's degree in computer science or computer engineering.
• Demonstrated experience in architecting scalable and efficient software solutions, prioritizing performance, reliability, and maintainability.
• Minimum of 2+ years of hands‑on experience in production‑class software design and development using Python, Java, or C++.
• Proficient in debugging complex software infrastructure, including real-time threads and cloud-based systems. Familiarity with real-time threads and cloud infrastructure is a plus.
• Strong understanding of professional software engineering practices, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Familiarity with deep learning frameworks like TensorFlow and PyTorch, and optimizing software algorithms.

Ways to stand out from the crowd

• Extensive experience in product‑class software systems, expertise in distributed systems, and large-scale data processing.
• Proficiency in developing and optimizing deep learning models for real-world problems, including expertise in AWS infrastructure and services for cloud-based deployments.
• Expert-level understanding of TensorFlow, PyTorch, or similar ML frameworks.
• Demonstrable ability to quickly grasp new concepts, including mathematical theorems, and devise original solutions to mathematical challenges.
• Workplace Flexibility (Work where you do your best work), virtual workplace
• Competitive Pay Bonus based on performance
• Personalized PTO and other benefits
• We are proud to be an Equal Opportunity and Affercive Action employer. We do not discriminate based upon race, religion, color, national origin, or sex.