At a Glance
- Tasks: Define quality standards for ML systems and automate QA workflows using Python.
- Company: Join Autodesk, a leader in innovative technology and design.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on research and innovation.
- Why this job: Be at the forefront of ML technology and make a significant impact.
- Qualifications: Bachelor's degree in Computer Science or Engineering and 7+ years in software engineering or QA.
The predicted salary is between 60000 - 84000 £ per year.
Autodesk is seeking a Senior Machine Learning QA Engineer to join their Research Enablement team in the City of Westminster. The role involves defining quality standards for ML systems, automating QA workflows using Python, and collaborating with both researchers and engineers.
The ideal candidate will have a Bachelor's degree in Computer Science or Engineering, alongside 7+ years of experience in software engineering or QA for ML/AI systems. Knowledge of MLOps practices and skills in Python are essential.
Senior ML QA Engineer: Build Scalable Quality Gates employer: Autodesk
At Autodesk, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Senior Machine Learning QA Engineer in the vibrant City of Westminster, you will benefit from extensive professional development opportunities, competitive compensation, and a supportive environment that values your contributions to cutting-edge ML systems. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of technology while enjoying the unique advantages of working in one of London's most exciting areas.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML QA Engineer: Build Scalable Quality Gates
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Autodesk or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work in ML QA and automation. This is your chance to demonstrate your Python prowess and MLOps knowledge in a way that stands out.
✨Tip Number 3
Prepare for interviews by brushing up on common ML QA scenarios. Think about how you’d define quality standards and automate workflows. Practising these answers will help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML QA Engineer: Build Scalable Quality Gates
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software engineering and QA for ML/AI systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Show Off Your Python Skills:Since automating QA workflows using Python is a key part of the job, include specific examples of how you've used Python in your previous roles. We love seeing practical applications of your coding skills!
Highlight MLOps Knowledge:If you’ve got experience with MLOps practices, make sure to mention it! This is super important for us, and it’ll show that you’re well-versed in the latest industry standards.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Autodesk
✨Know Your ML Standards
Make sure you’re well-versed in the quality standards for machine learning systems. Brush up on MLOps practices and be ready to discuss how you’ve implemented these in your previous roles. This will show that you understand the importance of quality gates in ML.
✨Showcase Your Python Skills
Since automating QA workflows using Python is a key part of the role, prepare to demonstrate your coding skills. Bring examples of scripts or projects you've worked on that highlight your ability to automate processes effectively.
✨Collaboration is Key
This role involves working closely with researchers and engineers, so be prepared to talk about your experience in collaborative environments. Share specific examples of how you’ve successfully worked in teams to solve complex problems.
✨Prepare for Technical Questions
Expect technical questions related to software engineering and QA for ML/AI systems. Review common challenges in ML QA and think about how you would approach them. Being able to articulate your thought process will impress the interviewers.
