At a Glance
- Tasks: Innovate in Computer Vision and Machine Learning for autonomous systems.
- Company: Join a leading tech firm focused on cutting-edge AI solutions.
- Benefits: Attractive salary, flexible working options, and mentorship opportunities.
- Other info: Collaborative global team with a focus on career growth and innovation.
- Why this job: Shape the future of technology while mentoring the next generation of engineers.
- Qualifications: MSc in relevant field and 4+ years of industry experience required.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Develop and innovate Computer Vision, Machine Learning and Multi-Modal Sensing technologies for perception in autonomous systems.
- Transform research concepts into working prototypes and work on their integration into autonomous systems.
- Support data collection and curation activities.
- Liaise and work cooperatively with our global team of experts and engineers.
- Mentor undergraduate and graduate engineers.
Minimum Requirements
- MSc degree in Computer Vision, Machine Learning or a closely related field.
- 4+ years of industrial experience in development and delivery of Deep Learning based solutions for perception systems.
- Experience of production-grade and high-volume Computer Vision and Machine Learning pipelines for pre-processing, training and deployment.
- Excellent knowledge of the state-of-the-art Deep Learning techniques for Computer Vision.
- Strong knowledge of Object-Oriented programming and excellent skills in Python programming.
- Extensive experience in using major Deep Learning Libraries (e.g., PyTorch, TensorFlow) and Computer Vision libraries (e.g., OpenCV, PCL).
- Very good software engineering practices and familiarity with software development platforms, version control and issue tracking tools.
- Excellent verbal and written communication skills in English.
Preferred Requirements
- Hands-on experience in developing multi-modal 3D Computer Vision solutions.
- Hands-on experience in using classical machine learning techniques.
- Good knowledge of neural network optimisation techniques, e.g., quantisation and pruning.
- Good knowledge of probabilistic methods for object tracking (e.g., Kalman/Particle Filters, RTS smoothing).
- Domain expertise in Robotics or Driver Assistance Systems.
Senior Machine Learning Engineer employer: Fusionride
Join a forward-thinking company that champions innovation in autonomous systems, where your expertise as a Senior Machine Learning Engineer will be valued and nurtured. With a collaborative work culture and a commitment to employee growth, you'll have the opportunity to mentor the next generation of engineers while working on cutting-edge technologies in a vibrant location. Enjoy competitive benefits and the chance to make a meaningful impact in the rapidly evolving field of machine learning and computer vision.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. The more people you know, the better your chances of landing that Senior Machine Learning Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Computer Vision and Machine Learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Deep Learning libraries and how you've tackled real-world challenges in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in Computer Vision and Machine Learning. We want to see how your skills align with the responsibilities listed in the job description, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about developing innovative technologies for autonomous systems. We love seeing enthusiasm, so let your personality come through while keeping it professional.
Showcase Your Technical Skills:Be specific about your technical expertise in Python, Deep Learning libraries, and any relevant software engineering practices. We’re looking for solid examples of your work, so include links to projects or GitHub repositories if you can!
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’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at Fusionride
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest Deep Learning techniques and Computer Vision technologies. Brush up on your experience with libraries like PyTorch and TensorFlow, as well as your knowledge of Object-Oriented programming in Python. Be ready to discuss specific projects where you've applied these skills.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've transformed research concepts into working prototypes. Think of examples where you've tackled challenges in developing high-volume Machine Learning pipelines. This will demonstrate your ability to innovate and deliver practical solutions.
✨Collaboration is Key
Since the role involves liaising with a global team, be prepared to discuss your experience working collaboratively. Share examples of how you've mentored others or worked in diverse teams, highlighting your communication skills and ability to support data collection and curation activities.
✨Stay Current and Curious
Keep up with the latest trends in Machine Learning and Computer Vision. Mention any recent advancements or techniques you’ve explored, especially in multi-modal 3D solutions or neural network optimisation. This shows your passion for the field and your commitment to continuous learning.
