Job Description

Overview:
About Analog

Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world. What working at Analog offers •Culture: • An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

•Career: • Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

•Rewards: • A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.



We're seeking an experienced machine learning researcher to shape and lead our ML research agenda.

This is an opportunity to pioneer and prototype new approaches for testing and evaluating the most advanced AI systems - and to harness the most advanced AI systems to do so. If you enjoy tackling deep questions in ML research, thrive in roles where ambitious entrepreneurial pursuit of open-ended goals is rewarded, and are strongly motivated to contribute to the roll-out of advanced general AI systems going well, you will find our work here uniquely challenging and rewarding.

Responsibilities:
• Research at the level of training data, pre-training, and training
• Research and prototype novel evaluation methods
• Work with downstream product and infrastructure teams to build and scale effective tools for responsible deployment
• Architect and develop models that improve and have real world impact




Qualifications:
• Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
• Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
• Have experience developing novel techniques for ML model measurement and mitigation
• Be comfortable working cross functionally across both research and product teams


If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

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