Senior AI / ML Engineer

Artificial Analysis, Inc.; San Francisco (CA); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Equity

Job summary

Artificial Analysis, Inc. in San Francisco, CA is seeking a Senior AI/ML Engineer to lead projects in benchmarking and analysis, building core software components and data pipelines for our rapidly growing startup.

You will design robust Python-based solutions for benchmarking, model evaluation, and data visualization, and work with enterprise customers to deliver actionable AI insights. This role requires collaboration with founders and a hands-on, high-impact mindset.

Qualifications

• 3+ years of professional software engineering experience.
• Proficiency with Python data-analysis libraries (e.g. pandas) and AI APIs (OpenAI).
• Experience with cloud infrastructure and monitoring.
• Experience with visualizing and presenting data.
• Strong problem-solving and communication skills.
• Ability to lead projects independently in a fast-paced environment.
• Bachelor's or Master's in CS/Engineering or related field.

Responsibilities

• Lead the development and optimization of core benchmarking stack, focusing on data-intensive backend systems and APIs, and drive projects from concept to shipped.
• Design and implement robust Python solutions for benchmarking, model evaluation and data analysis.
• Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for thousands of daily users.
• Conduct custom analyses for enterprise customers, providing actionable insights to inform their AI strategies.
• Contribute to the evolution of benchmarking methodologies, including development of evaluation methodology for emerging modalities and capabilities.
• Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry.

Skills

Python

Data analysis

OpenAI API

Cloud infrastructure

Data visualization

Leadership

Communication

Education

Bachelor's or Master's in CS/Engineering or related field

Tools

Git

Docker

Kubernetes

Job description

Job Description – Senior AI/ML Engineer

Location: San Francisco, CA (on-site, 5 days a week, in our San Francisco office)

About Artificial Analysis

Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.

Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.

We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.

The Opportunity

We're looking for a Senior AI/ML Engineer to join our team and lead projects in AI benchmarking and analysis. You'll work closely with our founders to build core parts of the software stack for our fast-growing startup.

The coming wave of AI scaling is going to change the world in ways we don't yet understand - and we're offering a front row seat.

What You'll Do

• Lead the development and optimization of aspects of our core benchmarking stack, focusing on data intensive backend systems and APIs, and driving projects from concept to shipped
• Design and implement robust Python solutions for benchmarking, model evaluation and data analysis
• Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for thousands of daily users
• Conduct custom analyses for enterprise customers, providing actionable insights to inform their AI strategies
• Contribute to the evolution of our benchmarking methodologies, including development of evaluation methodology for emerging modalities and capabilities
• Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry

What We're Looking For

• 3+ years of professional software engineering experience
• Passion for AI and eagerness to work at the forefront of technological innovation
• Proficiency with relevant Python libraries for data analysis (e.g. pandas) and key AI APIs (e.g. OpenAI)
• Familiarity with cloud infrastructure, orchestration and monitoring tools
• Experience with visualizing and presenting data
• Strong problem-solving skills and ability to distill complex concepts into actionable insights in the face of uncertainty
• Excellent communication and collaboration skills
• Proven ability to lead projects independently in a fast-paced environment
• Bachelor's or Master's in Computer Science, Engineering, or related field (e.g. Physics)

Preferred but not essential:

• Experience with AI/ML frameworks (e.g. PyTorch)
• Creation of analytical reports

Why Artificial Analysis?

• Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.
• Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.
• Work with the most important players in AI: You'll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.
• Join at a defining moment: We're 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.
• Competitive compensation including equity