At a Glance
- Tasks: Enhance task-similarity algorithms and design experiments in a collaborative team.
- Company: Forward-thinking AI company based in the UK with a focus on innovation.
- Benefits: Generous compensation, remote work options, and personal growth opportunities.
- Why this job: Join a cutting-edge team and tackle complex problems in AI research.
- Qualifications: Strong skills in deep learning, Python programming, and a research-oriented mindset.
- Other info: Exciting role with potential for significant personal and professional development.
The predicted salary is between 48000 - 72000 Β£ per year.
A forward-thinking AI company in the UK is seeking an ML Engineer to enhance task-similarity algorithms in the Mapper team. This role requires strong technical skills in deep learning and Python programming, as well as a researcher mindset for solving complex problems.
You will design experiments, document findings, and collaborate with cross-functional teams. The role offers generous compensation, remote work options, and opportunities for personal growth and development.
Lead ML Engineer (CV/Research) - Remote + Equity employer: Mimica Announce Strategic Partnership
Contact Detail:
Mimica Announce Strategic Partnership Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Lead ML Engineer (CV/Research) - Remote + Equity
β¨Tip Number 1
Network like a pro! Reach out to people in the AI and ML space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to deep learning and task-similarity algorithms. This will not only demonstrate your technical prowess but also your passion for the field.
β¨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and problem-solving techniques. Practice explaining your thought process clearly, as collaboration is key in cross-functional teams. We want to see how you tackle complex problems!
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead ML Engineer (CV/Research) - Remote + Equity
Some tips for your application π«‘
Show Off Your Skills: Make sure to highlight your technical skills in deep learning and Python programming. We want to see how you can enhance task-similarity algorithms, so donβt hold back on showcasing your experience and projects!
Research Mindset is Key: Since weβre looking for someone with a researcher mindset, include examples of how you've tackled complex problems in the past. Share your thought process and the experiments you've designed to solve these challenges.
Collaborate Like a Pro: Collaboration is crucial in our Mapper team. Mention any cross-functional teamwork experiences youβve had, and how youβve effectively communicated your findings to others. We love seeing how you work with different teams!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. Itβs the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Mimica Announce Strategic Partnership
β¨Know Your Algorithms
Make sure you brush up on task-similarity algorithms and deep learning concepts. Be ready to discuss your previous projects and how you've applied these techniques in real-world scenarios. This will show your technical prowess and understanding of the role.
β¨Show Your Research Mindset
Prepare to talk about your approach to problem-solving and experimentation. Think of examples where you've designed experiments or tackled complex issues. This will demonstrate your ability to think critically and contribute to the Mapper teamβs goals.
β¨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be ready to share experiences where you've successfully collaborated with others. Highlight your communication skills and how youβve navigated different perspectives to achieve a common goal.
β¨Ask Insightful Questions
Prepare thoughtful questions about the companyβs vision, the Mapper teamβs current projects, and future challenges. This shows your genuine interest in the role and helps you assess if itβs the right fit for you.