At a Glance
- Tasks: Optimise AI workloads and enhance performance on cutting-edge infrastructure.
- Company: Join Lightning AI, the innovators behind PyTorch Lightning.
- Benefits: Remote work, equity options, and a chance to shape the future of AI.
- Other info: Dynamic remote environment with opportunities for growth and innovation.
- Why this job: Make a real impact in AI while collaborating with top engineers and customers.
- Qualifications: Experience in ML systems and a passion for performance engineering.
The predicted salary is between 63000 - 77000 £ per year.
Lightning AI, the company behind PyTorch Lightning, is hiring a Research Engineer to optimize training and inference workloads on Lightning AI infrastructure. The role sits at the intersection of ML systems, AI infrastructure, performance engineering, and practical research, spanning models, inference systems, and platform infrastructure.
You’ll collaborate with customers and engineers to improve scalability, reliability, and performance of real-world AI workloads, across GPUs and accelerators.
AI/ML Systems Performance Engineer — Remote + Equity employer: Lightningai
Lightning AI is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to push the boundaries of AI technology. With a focus on professional growth, team members have access to continuous learning opportunities and the chance to work on cutting-edge projects that impact real-world applications. The remote nature of the role allows for flexibility, while the equity options provide a unique advantage for those looking to invest in their future alongside the company's success.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Systems Performance Engineer — Remote + Equity
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lightningai!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI/ML Systems Performance Engineer — Remote + Equity at Lightningai.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lightningai.
✨Apply Directly through Our Website
When you find a suitable opening like AI/ML Systems Performance Engineer — Remote + Equity at Lightningai, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI/ML Systems Performance Engineer — Remote + Equity
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lightningai, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lightningai. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lightningai
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lightningai!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
