At a Glance
- Tasks: Lead AI benchmarking projects and develop innovative software solutions.
- Company: Join a leading AI benchmarking company shaping the future of technology.
- Benefits: Competitive salary, equity options, and a hybrid work environment.
- Other info: Dynamic startup culture with opportunities for rapid career growth.
- Why this job: Be at the forefront of AI innovation and influence industry standards.
- Qualifications: 3+ years in software engineering with a passion for AI.
The predicted salary is between 70000 - 90000 £ per year.
Location: Melbourne (hybrid, 3+ days a week in our Melbourne 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. 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 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.
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.
- 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.
- Competitive compensation including equity.
Senior AI / ML Engineer in Tipton employer: Artificial Analysis, Inc.
Artificial Analysis is an exceptional employer, offering a unique opportunity to work at the forefront of AI technology in the vibrant city of San Francisco. With a strong focus on employee growth and development, team members are encouraged to become world experts in AI while collaborating with leading labs and enterprises. The company fosters a dynamic work culture that values innovation and reliability, providing competitive compensation and equity as part of its commitment to attracting top talent.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI / ML Engineer in Tipton
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Artificial Analysis, Inc. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Artificial Analysis, Inc..
✨Tap into Online Developer Communities
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We think you need these skills to ace Senior AI / ML Engineer in Tipton
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Artificial Analysis, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Artificial Analysis, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Artificial Analysis, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Artificial Analysis, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
