Senior AI / ML Engineer

Artificial Analysis; City of Melbourne; On-site; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

On-site work in SF & Melbourne

Job summary

Artificial Analysis is seeking a Senior AI/ML Engineer to lead data-heavy benchmarking and analytics. You’ll work with founders to build core software components for our fast-growing startup.

You will design robust Python solutions for benchmarking, model evaluation, and data analysis, delivering visualizations and insights for enterprise customers. Join at a moment of scale as we expand our AI benchmarking capabilities.

Qualifications

• 3+ years of professional software engineering experience.
• Passion for AI and eagerness to work at the frontier of tech.
• Proficiency with Python data-analysis libraries (pandas) and AI APIs (OpenAI).
• Familiarity with cloud infrastructure, orchestration and monitoring tools.
• Experience in visualizing and presenting data.
• Strong problem-solving and ability to distill complex concepts into insights.
• Excellent communication and collaboration skills.
• Bachelor’s or Master’s in CS/Engineering/Physics or related field.

Responsibilities

• Lead development and optimization of core benchmarking stack and APIs.
• Design and implement Python solutions for benchmarking and data analysis.
• Create data visualizations to distill benchmarking data for thousands of users.
• Conduct custom analyses for enterprise customers with actionable insights.
• Contribute to evolution of benchmarking methodologies and modalities.
• Embrace AI-native workflows with cutting-edge AI tools.

Skills

Python

Data analysis

Pandas

Cloud infrastructure

Data visualization

Leadership

Communication

Education

Bachelor’s or Master’s in CS/Engineering/Physics

Tools

OpenAI API

PyTorch

Job description

Job Description – Senior AI/ML Engineer

Location

San Francisco (on-site in office), Melbourne (on-site in 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 don’t just measure the cutting edge of AI, they are actively shaping the frontier.

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