MLSys 2025 Career Opportunities

Bath

Lecturer / Senior Lecturer

Department: Computer Science

Salary: Salary for a Lecturer (Grade 8) is £46,735 rising to £55,755 per annum. Salary for a Senior Lecturer (Grade 9) is £57,422 rising to £66,537 per annum

The Department of Computer Science wishes to appoint up to seven academics in Artificial Intelligence and Machine Learning.

About the role

You will work with colleagues, students and researchers to develop and publish papers. You will apply for research funding to support your ideas. You will find ways of making your research available to society.

You will design and deliver teaching materials for lectures, tutorials, and labs.

You will have a few internal roles to help the Department run smoothly.

The support and growth opportunities we provide

Training for an HEA fellowship qualification

New Lecturers will be enrolled into the Pathway to HEA Fellowship. Senior Lecturers will have the option to do so.

Mentoring

All of our staff are allocated a mentor when they join. Your mentor will support you in your day-to-day job and help you progress.

About you

Our ideal candidate for both Lecturer and Senior Lecturer positions will hold a PhD or equivalent in a relevant discipline, along with a UG degree or equivalent experience.

• You should demonstrate substantial research experience in your field, with an emerging track record for Lecturers and an established research profile with funding success for Senior Lecturers
• A deep conceptual understanding of their subject, alongside experience teaching at UG/PG levels, is essential
• Strong written, verbal, and interpersonal skills, along with the ability to form positive collaborations, are required
• Senior Lecturers should also exhibit academic leadership and a clear research vision. Both roles demand excellent organisational and administrative skills
• A commitment to excellence in research and teaching, student experience, and ethical professional conduct is essential

San Francisco, California

Description:

Founded in late 2020 by a small group of machine learning engineers and researchers, MosaicML enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the MosaicML platform provides maximum flexibility for AI development. Introduced in 2023, MosaicML’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. MosaicML is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Now part of Databricks since July 2023, we are passionate about enabling our customers to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI platform so our customers can use deep data insights to improve their business. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities.

You will: - Design and productionize state of the art tooling and open source technologies to enable the development of frontier foundation models for Databricks customers - Solve complex problems at scale around data preprocessing, model training, hyperparameter tuning and model evaluation Implement advanced optimization techniques to reduce the resource footprint of models while preserving their performance and balancing usability for our developers and customers - Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps - Facilitate our user community through documentation, talks, tutorials, and collaborations - Contribute to the broader AI community by publishing research, presenting at conferences, and actively participating in open-source projects, enhancing Databricks' reputation as an industry leader.

Below are some example projects: - Composer: Large-scale distributed deep learning training library - Streaming: Library for efficient data loading from cloud object storage - LLM Foundry: Framework for developing and evaluating Large Language Models

We look for: - Hands on experience with the internals of deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion) - Experience with large scale, distributed training on GPUs (e.g., Nvidia, AMD) and alternative deep learning accelerators - Strong sense of design and usability - Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders - Prior history of contributing to or developing open source projects is a bonus but not a requirement

We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.